# papers

id: 2602.15029v1
title: Symmetry in language statistics shapes the geometry of model representations
authors: Dhruva Karkada, Daniel J. Korchinski, Andres Nava
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496147
source: arxiv
summary:
Although learned representations underlie neural networks' success, their fundamental properties remain poorly understood. A striking example is the emergence of simple geometric structures in LLM representations: for example, calendar months organize into a circle, years form a smooth one-dimensional manifold, and cities' latitudes and longitudes can be decoded by a linear probe. We show that the statistics of language exhibit a translation symmetry -- e.g., the co-occurrence probability of two


id: 2602.15028v1
title: Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization
authors: Shangding Gu
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496641
source: arxiv
summary:
Large language models (LLMs) are increasingly deployed in privacy-critical and personalization-oriented scenarios, yet the role of context length in shaping privacy leakage and personalization effectiveness remains largely unexplored. We introduce a large-scale benchmark, PAPerBench, to systematically study how increasing context length influences both personalization quality and privacy protection in LLMs. The benchmark comprises approximately 29,000 instances with context lengths ranging from 


id: 2602.15022v1
authors: Cai Zhou, Zijie Chen, Zian Li
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496666
source: arxiv
title:
Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation

summary:
Many generative tasks in chemistry and science involve distributions invariant to group symmetries (e.g., permutation and rotation). A common strategy enforces invariance and equivariance through architectural constraints such as equivariant denoisers and invariant priors. In this paper, we challenge this tradition through the alternative canonicalization perspective: first map each sample to an orbit representative with a canonical pose or order, train an unconstrained (non-equivariant) diffusi


id: 2602.15031v1
title: EditCtrl: Disentangled Local and Global Control for Real-Time Generative Video Editing
authors: Yehonathan Litman, Shikun Liu, Dario Seyb
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496675
source: arxiv
summary:
High-fidelity generative video editing has seen significant quality improvements by leveraging pre-trained video foundation models. However, their computational cost is a major bottleneck, as they are often designed to inefficiently process the full video context regardless of the inpainting mask's size, even for sparse, localized edits. In this paper, we introduce EditCtrl, an efficient video inpainting control framework that focuses computation only where it is needed. Our approach features a 


id: 2602.15030v1
title: Image Generation with a Sphere Encoder
authors: Kaiyu Yue, Menglin Jia, Ji Hou
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496684
source: arxiv
summary:
We introduce the Sphere Encoder, an efficient generative framework capable of producing images in a single forward pass and competing with many-step diffusion models using fewer than five steps. Our approach works by learning an encoder that maps natural images uniformly onto a spherical latent space, and a decoder that maps random latent vectors back to the image space. Trained solely through image reconstruction losses, the model generates an image by simply decoding a random point on the sphe


id: 2602.15023v1
title: Gravitational Wave Echoes of the First Order Phase Transition in a Kination-Induced Big Bang
authors: Richard Casey, Katherine Freese, Evangelos I. Sfakianakis
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496721
source: arxiv
summary:
Gravitational waves (GWs) produced during first-order phase transitions (FOPTs) in the early universe provide a powerful probe of nonstandard cosmological histories. We study GW production from a FOPT ending a kination-dominated epoch in the Kination-Induced Big Bang scenario, in which a period of kination domination terminates through a phase transition that reheats the universe into radiation domination. A rolling scalar field drives the kination epoch. In the specific model we consider, its d


id: 2602.15019v1
authors: Alisa Vinogradova, Vlad Vinogradov, Luba Greenwood
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496744
source: arxiv
title:
Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation

summary:
Bio-pharmaceutical innovation has shifted: many new drug assets now originate outside the United States and are disclosed primarily via regional, non-English channels. Recent data suggests >85% of patent filings originate outside the U.S., with China accounting for nearly half of the global total; a growing share of scholarly output is also non-U.S. Industry estimates put China at ~30% of global drug development, spanning 1,200+ novel candidates. In this high-stakes environment, failing to surfa


id: 2602.15000v1
title: ALiA: Adaptive Linearized ADMM
authors: Uijeong Jang, Kaizhao Sun, Wotao Yin
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496753
source: arxiv
summary:
We propose ALiA, a novel adaptive variant of the alternating direction method of multipliers (ADMM). Specifically, ALiA is a variant of function-linearized proximal ADMM (FLiP ADMM), which generalizes the classical ADMM by leveraging the differentiable structure of the objective function, making it highly versatile. Notably, ALiA features an adaptive stepsize selection scheme that eliminates the need for backtracking linesearch. Motivated by recent advances in adaptive gradient and proximal meth


id: 2602.15001v1
title: Boundary Point Jailbreaking of Black-Box LLMs
authors: Xander Davies, Giorgi Giglemiani, Edmund Lau
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496768
source: arxiv
summary:
Frontier LLMs are safeguarded against attempts to extract harmful information via adversarial prompts known as "jailbreaks". Recently, defenders have developed classifier-based systems that have survived thousands of hours of human red teaming. We introduce Boundary Point Jailbreaking (BPJ), a new class of automated jailbreak attacks that evade the strongest industry-deployed safeguards. Unlike previous attacks that rely on white/grey-box assumptions (such as classifier scores or gradients) or l


id: 2602.14917v1
title: BFS-PO: Best-First Search for Large Reasoning Models
authors: Fiorenzo Parascandolo, Wenhui Tan, Enver Sangineto
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496776
source: arxiv
summary:
Large Reasoning Models (LRMs) such as OpenAI o1 and DeepSeek-R1 have shown excellent performance in reasoning tasks using long reasoning chains. However, this has also led to a significant increase of computational costs and the generation of verbose output, a phenomenon known as overthinking. The tendency to overthinking is often exacerbated by Reinforcement Learning (RL) algorithms such as GRPO/DAPO. In this paper, we propose BFS-PO, an RL algorithm which alleviates this problem using a Best-F


id: 2602.15021v1
authors: Xiaosheng Zhao, Yuan-Sen Ting, Rosemary F. G. Wyse
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496833
source: arxiv
title:
Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI

summary:
Cross-survey generalization is a critical challenge in stellar spectral analysis, particularly in cases such as transferring from low- to moderate-resolution surveys. We investigate this problem using pre-trained models, focusing on simple neural networks such as multilayer perceptrons (MLPs), with a case study transferring from LAMOST low-resolution spectra (LRS) to DESI medium-resolution spectra (MRS). Specifically, we pre-train MLPs on either LRS or their embeddings and fine-tune them for app


id: 2602.15002v1
title: Stacking-Engineered Thermal Transport and Phonon Filtering in Rhenium Disulfide
authors: Yongjian Zhou, Haoran Cui, Zefang Ye
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496843
source: arxiv
summary:
Cross-plane heat transport is a critical bottleneck for van der Waals (vdW) electronics, yet its microscopic governing principles remain elusive. We demonstrate that stacking order is an effective control knob for cross-plane phonon transport in multilayer Rhenium Disulfide (ReS2). Thickness-dependent thermal conductivity measurements reveal remarkably long cross-plane phonon mean free paths (MFPs) (>= 200-300 nm) and provide a direct experimental observation of the transition from quasi-ballist


id: 2602.15025v1
title: 3d Conformal Field Theories via Fuzzy Sphere Algebra
authors: Luisa Eck, Zhenghan Wang
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496858
source: arxiv
summary:
Fuzzy sphere models conjecturally realize 3d CFTs in small systems of spinful fermions, but why they work so well is still not fully understood. Their Hamiltonians are built from electron density operators projected to the lowest Landau Level. We analyze the algebra of the density modes and verify that it satisfies the Jacobi identity. The fuzzy sphere geometry admits two thermodynamic limits: a local planar limit yielding the fuzzy plane, and a commutative limit yielding an ordinary sphere. In 


id: 2602.15026v1
authors: Debarun Paul, Md Riajul Haque, Supratik Pal
published: 2026-02-16
discovered_at: 2026-02-17T15:28:50.496923
source: arxiv
title:
Prospects of Indirect Detection of Dark Matter via Primordial Black Hole Induced Gravitational Waves

summary:
Primordial black holes (PBHs), produced in the early Universe, can source a stochastic background of induced gravitational waves (GWs) and provide a non-thermal origin for dark matter (DM). We investigate DM production in a PBH-dominated cosmological framework, including contributions from PBH evaporation, gravitational production, and thermal freeze-in and freeze-out mechanisms, and determine the regions consistent with the observed DM relic abundance. We find that thermal freeze-in can compens


id: 2603.05506v1
title: FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning
authors: Weijie Lyu, Ming-Hsuan Yang, Zhixin Shu
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.727904
source: arxiv
summary:
We introduce FaceCam, a system that generates video under customizable camera trajectories for monocular human portrait video input. Recent camera control approaches based on large video-generation models have shown promising progress but often exhibit geometric distortions and visual artifacts on portrait videos due to scale-ambiguous camera representations or 3D reconstruction errors. To overcome these limitations, we propose a face-tailored scale-aware representation for camera transformation


id: 2603.05504v1
title: RoboPocket: Improve Robot Policies Instantly with Your Phone
authors: Junjie Fang, Wendi Chen, Han Xue
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728071
source: arxiv
summary:
Scaling imitation learning is fundamentally constrained by the efficiency of data collection. While handheld interfaces have emerged as a scalable solution for in-the-wild data acquisition, they predominantly operate in an open-loop manner: operators blindly collect demonstrations without knowing the underlying policy's weaknesses, leading to inefficient coverage of critical state distributions. Conversely, interactive methods like DAgger effectively address covariate shift but rely on physical 


id: 2603.05503v1
title: Accelerating Text-to-Video Generation with Calibrated Sparse Attention
authors: Shai Yehezkel, Shahar Yadin, Noam Elata
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728082
source: arxiv
summary:
Recent diffusion models enable high-quality video generation, but suffer from slow runtimes. The large transformer-based backbones used in these models are bottlenecked by spatiotemporal attention. In this paper, we identify that a significant fraction of token-to-token connections consistently yield negligible scores across various inputs, and their patterns often repeat across queries. Thus, the attention computation in these cases can be skipped with little to no effect on the result. This ob


id: 2603.05500v1
title: POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
authors: Zeju Qiu, Lixin Liu, Adrian Weller
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728086
source: arxiv
summary:
Efficient and stable training of large language models (LLMs) remains a core challenge in modern machine learning systems. To address this challenge, Reparameterized Orthogonal Equivalence Training (POET), a spectrum-preserving framework that optimizes each weight matrix through orthogonal equivalence transformation, has been proposed. Although POET provides strong training stability, its original implementation incurs high memory consumption and computational overhead due to intensive matrix mu


id: 2603.05495v1
title: Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
authors: Khai Nguyen, Petros Ellinas, Anvita Bhagavathula
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728088
source: arxiv
summary:
To scale the solution of optimization and simulation problems, prior work has explored machine-learning surrogates that inexpensively map problem parameters to corresponding solutions. Commonly used approaches, including supervised and self-supervised learning with either soft or hard feasibility enforcement, face inherent challenges such as reliance on expensive, high-quality labels or difficult optimization landscapes. To address their trade-offs, we propose a novel framework that first collec


id: 2603.05507v1
title: Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups
authors: Leif Van Holland, Domenic Zingsheim, Mana Takhsha
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728090
source: arxiv
summary:
High-quality 3D streaming from multiple cameras is crucial for immersive experiences in many AR/VR applications. The limited number of views - often due to real-time constraints - leads to missing information and incomplete surfaces in the rendered images. Existing approaches typically rely on simple heuristics for the hole filling, which can result in inconsistencies or visual artifacts. We propose to complete the missing textures using a novel, application-targeted inpainting method independen


id: 2603.05498v1
title: The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks
authors: Shangwen Sun, Alfredo Canziani, Yann LeCun
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728092
source: arxiv
summary:
We study two recurring phenomena in Transformer language models: massive activations, in which a small number of tokens exhibit extreme outliers in a few channels, and attention sinks, in which certain tokens attract disproportionate attention mass regardless of semantic relevance. Prior work observes that these phenomena frequently co-occur and often involve the same tokens, but their functional roles and causal relationship remain unclear. Through systematic experiments, we show that the co-oc


id: 2603.05489v1
title: NL2GDS: LLM-aided interface for Open Source Chip Design
authors: Max Eland, Jeyan Thiyagalingam, Dinesh Pamunuwa
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728094
source: arxiv
summary:
The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (Natural Language to Layout), a novel framework that leverages large language models (LLMs) to translate natural language hardware descriptions into synthesizable RTL and complete GDSII layouts via the open-source OpenLane ASIC flow. NL2GDS employs a modular pipeline that captures informal


id: 2603.05502v1
title: Universal quantum computation with group surface codes
authors: Naren Manjunath, Vieri Mattei, Apoorv Tiwari
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728096
source: arxiv
summary:
We introduce group surface codes, which are a natural generalization of the $\mathbb{Z}_2$ surface code, and equivalent to quantum double models of finite groups with specific boundary conditions. We show that group surface codes can be leveraged to perform non-Clifford gates in $\mathbb{Z}_2$ surface codes, thus enabling universal computation with well-established means of performing logical Clifford gates. Moreover, for suitably chosen groups, we demonstrate that arbitrary reversible classical


id: 2603.05480v1
title: Thermodynamic Response Functions in Singular Bayesian Models
authors: Sean Plummer
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728098
source: arxiv
summary:
Singular statistical models-including mixtures, matrix factorization, and neural networks-violate regular asymptotics due to parameter non-identifiability and degenerate Fisher geometry. Although singular learning theory characterizes marginal likelihood behavior through invariants such as the real log canonical threshold and singular fluctuation, these quantities remain difficult to interpret operationally. At the same time, widely used criteria such as WAIC and WBIC appear disconnected from un


id: 2603.05497v1
authors: Lizhi Yang, Ryan M. Bena, Meg Wilkinson
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728100
source: arxiv
title:
Safe-SAGE: Social-Semantic Adaptive Guidance for Safe Engagement through Laplace-Modulated Poisson Safety Functions

summary:
Traditional safety-critical control methods, such as control barrier functions, suffer from semantic blindness, exhibiting the same behavior around obstacles regardless of contextual significance. This limitation leads to the uniform treatment of all obstacles, despite their differing semantic meanings. We present Safe-SAGE (Social-Semantic Adaptive Guidance for Safe Engagement), a unified framework that bridges the gap between high-level semantic understanding and low-level safety-critical cont


id: 2603.05485v1
title: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
authors: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728101
source: arxiv
summary:
As AI models progress beyond simple chatbots into more complex workflows, we draw ever closer to the event horizon beyond which AI systems will be utilized in autonomous, self-maintaining feedback loops. Any autonomous AI system will depend on automated, verifiable rewards and feedback; in settings where ground truth is sparse or non-deterministic, one practical source of such rewards is an LLM-as-a-Judge. Although LLM judges continue to improve, the literature has yet to introduce systems capab


id: 2603.05484v1
title: Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
authors: Guo Chen, Lidong Lu, Yicheng Liu
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728103
source: arxiv
summary:
While datasets for video understanding have scaled to hour-long durations, they typically consist of densely concatenated clips that differ from natural, unscripted daily life. To bridge this gap, we introduce MM-Lifelong, a dataset designed for Multimodal Lifelong Understanding. Comprising 181.1 hours of footage, it is structured across Day, Week, and Month scales to capture varying temporal densities. Extensive evaluations reveal two critical failure modes in current paradigms: end-to-end MLLM


id: 2603.05487v1
title: Observing and Controlling Features in Vision-Language-Action Models
authors: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728107
source: arxiv
summary:
Vision-Language-Action Models (VLAs) have shown remarkable progress towards embodied intelligence. While their architecture partially resembles that of Large Language Models (LLMs), VLAs exhibit higher complexity due to their multi-modal inputs/outputs and often hybrid nature of transformer and diffusion heads. This is part of the reason why insights from mechanistic interpretability in LLMs, which explain how the internal model representations relate to their output behavior, do not trivially t


id: 2603.05494v1
title: Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
authors: Helena Casademunt, Bartosz Cywiński, Khoi Tran
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728113
source: arxiv
summary:
Large language models sometimes produce false or misleading responses. Two approaches to this problem are honesty elicitation -- modifying prompts or weights so that the model answers truthfully -- and lie detection -- classifying whether a given response is false. Prior work evaluates such methods on models specifically trained to lie or conceal information, but these artificial constructions may not resemble naturally-occurring dishonesty. We instead study open-weights LLMs from Chinese develo


id: 2603.05493v1
title: cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots
authors: Balakumar Sundaralingam, Adithyavairavan Murali, Stan Birchfield
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728115
source: arxiv
summary:
Effective robot autonomy requires motion generation that is safe, feasible, and reactive. Current methods are fragmented: fast planners output physically unexecutable trajectories, reactive controllers struggle with high-fidelity perception, and existing solvers fail on high-DoF systems. We present cuRoboV2, a unified framework with three key innovations: (1) B-spline trajectory optimization that enforces smoothness and torque limits; (2) a GPU-native TSDF/ESDF perception pipeline that generates


id: 2603.05488v1
title: Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
authors: Siddharth Boppana, Annabel Ma, Max Loeffler
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728117
source: arxiv
summary:
We provide evidence of performative chain-of-thought (CoT) in reasoning models, where a model becomes strongly confident in its final answer, but continues generating tokens without revealing its internal belief. Our analysis compares activation probing, early forced answering, and a CoT monitor across two large models (DeepSeek-R1 671B & GPT-OSS 120B) and find task difficulty-specific differences: The model's final answer is decodable from activations far earlier in CoT than a monitor is able t


id: 2603.05479v1
title: Quantum Simulation of Coupled Harmonic Oscillators: From Theory to Implementation
authors: Viraj Dsouza, Weronika Golletz, Dimitrios Kranas
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728120
source: arxiv
summary:
We investigate the quantum algorithm of Babbush et al. (arXiv:2303.13012v3) for simulating coupled harmonic oscillators, which promises exponential speedups over classical methods. Focusing on linearly connected oscillator chains, we bridge the gap between theory and implementation by developing and comparing three concrete realizations of the algorithm. First, we implement a sparse initial state preparation combined with product-formula (Suzuki-Trotter) Hamiltonian simulation. Second, we implem


id: 2603.05492v1
title: Ansatz-Free Learning of Lindbladian Dynamics In Situ
authors: Petr Ivashkov, Nikita Romanov, Weiyuan Gong
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728134
source: arxiv
summary:
Characterizing the dynamics of open quantum systems at the level of microscopic interactions and error mechanisms is essential for calibrating quantum hardware, designing robust simulation protocols, and developing tailored error-correction methods. Under Markovian noise/dissipation, a natural characterization approach is to identify the full Lindbladian generator that gives rise to both coherent (Hamiltonian) and dissipative dynamics. Prior protocols for learning Lindbladians from dynamical dat


id: 2603.05483v1
title: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
authors: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728135
source: arxiv
summary:
Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as precision medicine and individualized policy-making. Yet, the survival analysis setting poses unique challenges for HTE estimation due to censoring, unobserved counterfactuals, and complex identification assumptions. Despite recent advances, from Causal Survival Forests to survival meta-learners and outcome imputation approaches, evaluation practices remain fragment


id: 2603.05308v1
title: Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
authors: Qiao Jin, Yin Fang, Lauren He
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728137
source: arxiv
summary:
Assessing whether an article supports an assertion is essential for hallucination detection and claim verification. While large language models (LLMs) have the potential to automate this task, achieving strong performance requires frontier models such as GPT-5 that are prohibitively expensive to deploy at scale. To efficiently perform biomedical evidence attribution, we present Med-V1, a family of small language models with only three billion parameters. Trained on high-quality synthetic data ne


id: 2603.04900v1
authors: Shuo Yang, Soyeon Caren Han, Xueqi Ma
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728138
source: arxiv
title:
EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection

summary:
LLM-based agents depend on effective tool-use policies to solve complex tasks, yet optimizing these policies remains challenging due to delayed supervision and the difficulty of credit assignment in long-horizon trajectories. Existing optimization approaches tend to be either monolithic, which are prone to entangling behaviors, or single-aspect, which ignore cross-module error propagation. To address these limitations, we propose EvoTool, a self-evolving framework that optimizes a modular tool-u


id: 2603.04814v1
authors: Natchanon Pollertlam, Witchayut Kornsuwannawit
published: 2026-03-05
discovered_at: 2026-03-07T00:00:29.728140
source: arxiv
title:
Beyond the Context Window: A Cost-Performance Analysis of Fact-Based Memory vs. Long-Context LLMs for Persistent Agents

summary:
Persistent conversational AI systems face a choice between passing full conversation histories to a long-context large language model (LLM) and maintaining a dedicated memory system that extracts and retrieves structured facts. We compare a fact-based memory system built on the Mem0 framework against long-context LLM inference on three memory-centric benchmarks - LongMemEval, LoCoMo, and PersonaMemv2 - and evaluate both architectures on accuracy and cumulative API cost. Long-context GPT-5-mini a


id: 2603.06577v1
title: Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
authors: Lijiang Li, Zuwei Long, Yunhang Shen
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.144429
source: arxiv
summary:
While recent multimodal large language models (MLLMs) have made impressive strides, they predominantly employ a conventional autoregressive architecture as their backbone, leaving significant room to explore effective and efficient alternatives in architectural design. Concurrently, recent studies have successfully applied discrete diffusion models to various domains, such as visual understanding and image generation, revealing their considerable potential as a promising backbone for multimodal 


id: 2603.06576v1
title: BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
authors: Thomas Monninger, Shaoyuan Xie, Qi Alfred Chen
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145179
source: arxiv
summary:
The integration of Large Language Models (LLMs) into autonomous driving has attracted growing interest for their strong reasoning and semantic understanding abilities, which are essential for handling complex decision-making and long-tail scenarios. However, existing methods typically feed LLMs with tokens from multi-view and multi-frame images independently, leading to redundant computation and limited spatial consistency. This separation in visual processing hinders accurate 3D spatial reasoni


id: 2603.06574v1
title: A class of d-dimensional directed polymers in a Gaussian environment
authors: Le Chen, Cheng Ouyang, Samy Tindel
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145217
source: arxiv
summary:
We introduce and analyze a broad class of continuous directed polymers in $\mathbb{R}^d$ driven by Gaussian environments that are white in time and spatially correlated, under Dalang's condition. Using an Itô-renormalized stochastic-heat-equation representation, we establish structural properties of the partition function, including positivity, stationarity, scaling, homogeneity, and a Chapman--Kolmogorov relation. On finite time intervals, we prove Brownian-type pathwise behavior, namely Hölder


id: 2603.06572v1
title: SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
authors: Vishal Thengane, Zhaochong An, Tianjin Huang
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145252
source: arxiv
summary:
Incremental Few-Shot (IFS) segmentation aims to learn new categories over time from only a few annotations. Although widely studied in 2D, it remains underexplored for 3D point clouds. Existing methods suffer from catastrophic forgetting or fail to learn discriminative prototypes under sparse supervision, and often overlook a key cue: novel categories frequently appear as unlabelled background in base-training scenes. We introduce SCOPE (Scene-COntextualised Prototype Enrichment), a plug-and-pla


id: 2603.06569v1
title: Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
authors: Boqiang Zhang, Lei Ke, Ruihan Yang
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145297
source: arxiv
summary:
Vision Language Model (VLM) development has largely relied on scaling model size, which hinders deployment on compute-constrained mobile and edge devices such as smartphones and robots. In this work, we explore the performance limits of compact (e.g., 2B and 8B) VLMs. We challenge the prevailing practice that state-of-the-art VLMs must rely on vision encoders initialized via massive contrastive pretraining (e.g., CLIP/SigLIP). We identify an objective mismatch: contrastive learning, optimized fo


id: 2603.06565v1
title: Boosting deep Reinforcement Learning using pretraining with Logical Options
authors: Zihan Ye, Phil Chau, Raban Emunds
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145333
source: arxiv
summary:
Deep reinforcement learning agents are often misaligned, as they over-exploit early reward signals. Recently, several symbolic approaches have addressed these challenges by encoding sparse objectives along with aligned plans. However, purely symbolic architectures are complex to scale and difficult to apply to continuous settings. Hence, we propose a hybrid approach, inspired by humans' ability to acquire new skills. We use a two-stage framework that injects symbolic structure into neural-based 


id: 2603.06573v1
title: Fly360: Omnidirectional Obstacle Avoidance within Drone View
authors: Xiangkai Zhang, Dizhe Zhang, WenZhuo Cao
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145345
source: arxiv
summary:
Obstacle avoidance in unmanned aerial vehicles (UAVs), as a fundamental capability, has gained increasing attention with the growing focus on spatial intelligence. However, current obstacle-avoidance methods mainly depend on limited field-of-view sensors and are ill-suited for UAV scenarios which require full-spatial awareness when the movement direction differs from the UAV's heading. This limitation motivates us to explore omnidirectional obstacle avoidance for panoramic drones with full-view 


id: 2603.06566v1
authors: A. J. Amsellem, I. Magaña Hernandez, A. Palmese
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145357
source: arxiv
title:
Data-Driven Trends and Subpopulations in the Gravitational Wave Binary Black Hole Merger Population with UMAP

summary:
The rapidly expanding Gravitational-Wave Transient Catalog (GWTC) necessitates the development of model-independent techniques to uncover trends and subpopulations within the binary black hole (BBH) population. We present the first usage of the Uniform Manifold Approximation and Projection (UMAP) algorithm, a novel dimensionality-reduction technique, for the purpose of analyzing BBH mergers in GWTC-3. We show that UMAP, paired with a clustering algorithm, effectively partitions the population in


id: 2603.06570v1
title: SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoning
authors: Alejandra Perez, Anita Rau, Lee White
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145391
source: arxiv
summary:
Surgeons don't just see -- they interpret. When an expert observes a surgical scene, they understand not only what instrument is being used, but why it was chosen, what risk it poses, and what comes next. Current surgical AI cannot answer such questions, largely because training data that explicitly encodes surgical reasoning is immensely difficult to annotate at scale. Yet surgical video lectures already contain exactly this -- explanations of intent, rationale, and anticipation, narrated by ex


id: 2603.06567v1
authors: Eric Qu, Brandon M. Wood, Aditi S. Krishnapriyan
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145480
source: arxiv
title:
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention

summary:
Machine-learning interatomic potentials (MLIPs) have advanced rapidly, with many top models relying on strong physics-based inductive biases. However, as models scale to larger systems like biomolecules and electrolytes, they struggle to accurately capture long-range (LR) interactions, leading current approaches to rely on explicit physics-based terms or components. In this work, we propose AllScAIP, a straightforward, attention-based, and energy-conserving MLIP model that scales to O(100 millio


id: 2603.06578v1
title: Multimodal Large Language Models as Image Classifiers
authors: Nikita Kisel, Illia Volkov, Klara Janouskova
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145575
source: arxiv
summary:
Multimodal Large Language Models (MLLM) classification performance depends critically on evaluation protocol and ground truth quality. Studies comparing MLLMs with supervised and vision-language models report conflicting conclusions, and we show these conflicts stem from protocols that either inflate or underestimate performance. Across the most common evaluation protocols, we identify and fix key issues: model outputs that fall outside the provided class list and are discarded, inflated results


id: 2603.06522v1
title: Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education
authors: Yuanji Zhang, Yuhao Huang, Haoran Dou
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145643
source: arxiv
summary:
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists and the relative rarity of the condition. Early and reliable diagnosis is essential to enable timely clinical intervention and reduce associated morbidity. Here we show that an artificial intelligence system, trained on over 45,139 ultrasound images from 9,215 fetuses across 22 hospitals, can diagnose fetal orofacial 


id: 2603.06515v1
authors: Xingyao Zhang, Haoran Yin, Yanqun Tang
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145654
source: arxiv
title:
A Unified Multicarrier Waveform Framework for Next-generation Wireless Networks: Principles, Performance, and Challenges

summary:
Next-generation wireless networks require enhanced flexibility, efficiency, and reliability in physical layer waveform design to address the challenges posed by heterogeneous channel conditions and stringent quality-of-service demands. To this end, this paper proposes a unified multicarrier waveform framework that provides a systematic characterization and practical implementation guidelines to facilitate waveform selection for the sixth-generation (6G) mobile networks and beyond. We commence by


id: 2603.05735v1
authors: Anthony Badea, Yi Chen, Yen-Jie Lee
published: 2026-03-05
discovered_at: 2026-03-08T20:00:38.145665
source: arxiv
title:
Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data

summary:
We present an AI agentic measurement of the thrust distribution in $e^{+}e^{-}$ collisions at $\sqrt{s}=91.2$~GeV using archived ALEPH data. The analysis and all note writing is carried out entirely by AI agents (OpenAI Codex and Anthropic Claude) under expert physicist direction. A fully corrected spectrum is obtained via Iterative Bayesian Unfolding and Monte Carlo based corrections. This work represents a step toward a theory-experiment loop in which AI agents assist with experimental measure


id: 2603.05697v1
authors: Dannong Xu, Zhongyu Yang, Jun Chen
published: 2026-03-05
discovered_at: 2026-03-08T20:00:38.145686
source: arxiv
title:
MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents

summary:
Multimodal large language models (MLLMs) achieve strong performance on benchmarks that evaluate text, image, or video understanding separately. However, these settings do not assess a critical real-world requirement, which involves retrieving relevant evidence from large, heterogeneous multimodal corpora prior to reasoning. Most existing benchmarks restrict retrieval to small, single-modality candidate sets, substantially simplifying the search space and overstating end-to-end reliability. To ad


id: 2603.05607v1
title: DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces
authors: Mohammad Sadil Khan, Muhammad Usama, Rolandos Alexandros Potamias
published: 2026-03-05
discovered_at: 2026-03-08T20:00:38.145700
source: arxiv
summary:
Computer-Aided Design (CAD) relies on structured and editable geometric representations, yet existing generative methods are constrained by small annotated datasets with explicit design histories or boundary representation (BRep) labels. Meanwhile, millions of unannotated 3D meshes remain untapped, limiting progress in scalable CAD generation. To address this, we propose DreamCAD, a multi-modal generative framework that directly produces editable BReps from point-level supervision, without CAD-s


id: 2603.06563v1
title: Convergence of Neural Network Policies for Risk--Reward Optimization
authors: Chang Chen, Duy-Minh Dang
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145788
source: arxiv
summary:
We develop a neural-network framework for multi-period risk--reward stochastic control problems with constrained two-step feedback policies that may be discontinuous in the state. We allow a broad class of objectives built on a finite-dimensional performance vector, including terminal and path-dependent statistics, with risk functionals admitting auxiliary-variable optimization representations (e.g.\ Conditional Value-at-Risk and buffered probability of exceedance) and optional moment dependence


id: 2603.06575v1
title: An ode to instantons
authors: Oliver Janssen, Joel Karlsson, Flavio Riccardi
published: 2026-03-06
discovered_at: 2026-03-08T20:00:38.145837
source: arxiv
summary:
We present a formalism for semiclassical time evolution in quantum mechanics, building on a century of work. We identify complex saddle points in real time, real saddle points in complex time, and complex saddle points in complex time that reproduce the known answers in classic problems. For the decay of a metastable state, we find finite time and finite energy analogs of the "bounce" which do not have strict zero or negative modes. The one-loop phase of the wave function and the multiplicity of


id: 2603.06568v1
title: The Prevalence of Turbulence-Regulated Multiphase Galactic Winds in Star-Forming Galaxies
authors: Zhihui Li, Timothy Heckman, Max Gronke
published: 2026-03-06
discovered_at: 2026-03-09T04:03:23.550649
source: arxiv
summary:
We build upon our previously developed multi-ion radiative transfer (RT) framework, PEACOCK, to investigate the kinematic and energetic structure of cool-to-warm galactic winds in a sample of 50 nearby star-forming galaxies. Using self-consistent constraints derived from joint modeling of Ly-alpha and multiple ultraviolet metal lines, we analyze how bulk outflows and turbulent motions contribute to the dynamics and energy budget of galactic winds in the circumgalactic medium (CGM). We find that 


id: 2603.08214v1
title: An asymptotic model of Poisson--Nernst--Planck--Stokes systems in narrow channels
authors: Christine Keller, Andreas Münch, Barbara Wagner
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.754805
source: arxiv
summary:
Ion transport through narrow channels is described by the coupled Poisson--Nernst--Planck--Stokes equations (PNPS) on a continuum scale. However, direct numerical simulations in two or three dimensions of boundary value problems for small aspect ratio geometries, a crucial characteristic of nanopores, can quickly become computationally intensive and thus limit the insights into the underlying mechanisms that control electrokinetic phenomena. Taking advantage of the small aspect ratio, we derive 


id: 2603.08213v1
authors: Luc Rabefihavanana, Harinaivo Andriatahiny, Randriamiarampanahy Ferdinand
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755453
source: arxiv
title:
Construction of a Family of Quantum Codes Using Sub-exceding Functions via the Hypergraph Product and the Generalized Shor Construction

summary:
In this paper, we introduce a new family of stabilizer quantum LDPC codes derived from the classical linear codes $L_k$ and $L_k^{+}$, defined via sub-exceding functions. In previous work, these codes demonstrated strong performance in minimum distance, decoding efficiency, and structural simplicity. By combining the hypergraph product framework with a generalized Shor construction, we obtain a scalable class of quantum codes with parameters $[[6k^2,\, k^2,\, d]]$. The resulting quantum codes ex


id: 2603.08212v1
title: Re-evaluating Position and Velocity Decoding for Hand Pose Estimation with Surface Electromyography
authors: Nima Hadidi, Johannes Lee, Ebrahim Feghhi
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755485
source: arxiv
summary:
Recent progress in real-time hand pose estimation from surface electromyography (sEMG) has been driven by the emg2pose benchmark, whose original baseline study concluded that velocity decoding outperforms position decoding in both reconstruction accuracy and trajectory smoothness. We revisit that conclusion under the original causal evaluation protocol. Using the same core architecture but a more stable training recipe, we show that position decoding models were previously underestimated because


id: 2603.08208v1
authors: Ishrat Jahan, Molla E Majid, M Murugappan
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755502
source: arxiv
title:
Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors

summary:
Reliable unmanned aerial vehicle (UAV) detection is critical for autonomous airspace monitoring but remains challenging when integrating sensor streams that differ substantially in resolution, perspective, and field of view. Conventional fusion methods-such as wavelet-, Laplacian-, and decision-level approaches-often fail to preserve spatial correspondence across modalities and suffer from annotation of inconsistencies, limiting their robustness in real-world settings. This study introduces two 


id: 2603.08206v1
authors: Jonas Landsgesell, Pascal Knoll
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755515
source: arxiv
title:
Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules

summary:
Prior-Data Fitted Networks (PFNs), such as TabPFN and TabICL, have revolutionized tabular deep learning by leveraging in-context learning for tabular data.
  These models are meant as foundation models for classification and regression settings and promise to greatly simplify deployment in practical settings because their performance is unprecedented (in terms of mean squared error or $R^2$, when measured on common benchmarks like TabArena or TALENT).
  However, we see an important weakness of c


id: 2603.08202v1
title: MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
authors: Siarhei Sheludzko, Dhimitrios Duka, Bernt Schiele
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755570
source: arxiv
summary:
Contrastive learning has become a fundamental approach in both uni-modal and multi-modal frameworks. This learning paradigm pulls positive pairs of samples closer while pushing negatives apart. In the uni-modal setting (e.g., image-based learning), previous research has shown that the strength of these forces can be controlled through the temperature parameter. In this work, we propose Multi-Modal Temperature and Margin Schedules (MM-TS), extending the concept of uni-modal temperature scheduling


id: 2603.08209v1
authors: Xuanfeng Li, Shengcai Liu, Wenjie Chen
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755598
source: arxiv
title:
Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions

summary:
The multiple-choice knapsack problem (MCKP) is a classic combinatorial optimization with wide practical applications. This paper investigates a significant yet underexplored extension of MCKP: the multi-objective chance-constrained MCKP (MO-CCMCKP) under implicit probability distributions. The goal of the problem is to simultaneously minimize the total cost and maximize the confidence level of satisfying the capacity constraint, capturing essential trade-offs in domains like 5G network configura


id: 2603.08200v1
title: Experience on Automatically Converting a C++ Monolith to Java EE
authors: Andre Vehreschild, Lexi Pimenidis
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755611
source: arxiv
summary:
Converting a large C++ code base (800k lines of code) into Java alone is challenging. Changing the architecture from a monolith into an application adhering to the Java application server standard and to run it on WildFly is a different number. This report describes the experience made during the C++ to Java conversion, the techniques used as well as the way to success of running the Java code on the application server for the first time. The approaches to solve the usual C++ to Java culprits, l


id: 2603.08704v1
authors: Akshay Gulati, Kanha Singhania, Tushar Banga
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755654
source: arxiv
title:
Evaluating Financial Intelligence in Large Language Models: Benchmarking SuperInvesting AI with LLM Engines

summary:
Large language models are increasingly used for financial analysis and investment research, yet systematic evaluation of their financial reasoning capabilities remains limited. In this work, we introduce the AI Financial Intelligence Benchmark (AFIB), a multi-dimensional evaluation framework designed to assess financial analysis capabilities across five dimensions: factual accuracy, analytical completeness, data recency, model consistency, and failure patterns. We evaluate five AI systems: GPT, 


id: 2603.08685v1
title: Predicting Conflict Impact on Performance in O-RAN
authors: Pietro Brach del Prever, Niloofar Mohamadi, Salvatore D'Oro
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755663
source: arxiv
summary:
The O-RAN Alliance promotes the integration of intelligent autonomous agents to control the Radio Access Network (RAN). This improves flexibility, performance, and observability in the RAN, but introduces new challenges, such as the detection and management of conflicts among the intelligent autonomous agents. A solution consists of profiling the agents before deployment to gather statistical information about their decision-making behavior, then using the information to estimate the level of co


id: 2603.08679v1
authors: Yang Cai, Vineet Gupta, Zun Li
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755673
source: arxiv
title:
A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search

summary:
The celebrated Myerson--Satterthwaite theorem shows that in bilateral trade, no mechanism can be simultaneously fully efficient, Bayesian incentive compatible (BIC), and budget balanced (BB). This naturally raises the question of how closely the gains from trade (GFT) achievable by a BIC and BB mechanism can approximate the first-best (fully efficient) benchmark. The optimal BIC and BB mechanism is typically complex and highly distribution-dependent, making it difficult to characterize directly.


id: 2603.08687v1
title: Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
authors: Yiannis Papageorgiou, Yannis Thomas, Ramin Khalili
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755682
source: arxiv
summary:
Can we find a network architecture for ML model training so as to optimize training loss (and thus, accuracy) in Split Federated Learning (SFL)? And can this architecture also reduce training delay and communication overhead? While accuracy is not influenced by how we split the model in ordinary, state-of-the-art SFL, in this work we answer the questions above in the affirmative. Recent Hierarchical SFL (HSFL) architectures adopt a three-tier training structure consisting of clients, (local) agg


id: 2603.08681v1
title: ER-Pose: Rethinking Keypoint-Driven Representation Learning for Real-Time Human Pose Estimation
authors: Nanjun Li, Pinqi Cheng, Zean Liu
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755691
source: arxiv
summary:
Single-stage multi-person pose estimation aims to jointly perform human localization and keypoint prediction within a unified framework, offering advantages in inference efficiency and architectural simplicity. Consequently, multi-scale real-time detection architectures, such as YOLO-like models, are widely adopted for real-time pose estimation. However, these approaches typically inherit a box-driven modeling paradigm from object detection, in which pose estimation is implicitly constrained by 


id: 2603.08674v1
title: Talking Together: Synthesizing Co-Located 3D Conversations from Audio
authors: Mengyi Shan, Shouchieh Chang, Ziqian Bai
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755700
source: arxiv
summary:
We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often produce disembodied "talking heads" akin to a video conference call, our work is the first to explicitly model the dynamic 3D spatial relationship -- including relative position, orientation, and mutual gaze -- that is crucial for realistic in-person dialogues. Our system synthesizes the full performance of both individual


id: 2603.08707v1
title: Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
authors: Azul Garza, Renée Rosillo, Rodrigo Mendoza-Smith
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755707
source: arxiv
summary:
Recent advances in time-series forecasting increasingly rely on pre-trained foundation-style models. While these models often claim broad generalization, existing evaluation protocols provide limited evidence. Indeed, most current benchmarks use static train-test splits that can easily lead to contamination as foundation models can inadvertently train on test data or perform model selection using test scores, which can inflate performance. We introduce Impermanent, a live benchmark that evaluate


id: 2603.08692v1
authors: Anas ALsobeh, Raneem Alkurdi
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755717
source: arxiv
title:
A Multi-Objective Optimization Approach for Sustainable AI-Driven Entrepreneurship in Resilient Economies

summary:
The rapid advancement of artificial intelligence (AI) technologies presents both unprecedented opportunities and significant challenges for sustainable economic development. While AI offers transformative potential for addressing environmental challenges and enhancing economic resilience, its deployment often involves substantial energy consumption and environmental costs. This research introduces the EcoAI-Resilience framework, a multi-objective optimization approach designed to maximize the su


id: 2603.08706v1
title: Agentic Critical Training
authors: Weize Liu, Minghui Liu, Sy-Tuyen Ho
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755733
source: arxiv
summary:
Training large language models (LLMs) as autonomous agents often begins with imitation learning, but it only teaches agents what to do without understanding why: agents never contrast successful actions against suboptimal alternatives and thus lack awareness of action quality. Recent approaches attempt to address this by introducing self-reflection supervision derived from contrasts between expert and alternative actions. However, the training paradigm fundamentally remains imitation learning: t


id: 2603.08660v1
title: How Far Can Unsupervised RLVR Scale LLM Training?
authors: Bingxiang He, Yuxin Zuo, Zeyuan Liu
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755744
source: arxiv
summary:
Unsupervised reinforcement learning with verifiable rewards (URLVR) offers a pathway to scale LLM training beyond the supervision bottleneck by deriving rewards without ground truth labels. Recent works leverage model intrinsic signals, showing promising early gains, yet their potential and limitations remain unclear. In this work, we revisit URLVR and provide a comprehensive analysis spanning taxonomy, theory and extensive experiments. We first classify URLVR methods into intrinsic versus exter


id: 2603.08670v1
title: Cluster Bootstrap for Cosmological Correlators
authors: Shruti Paranjape, Marcos Skowronek, Marcus Spradlin
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755757
source: arxiv
summary:
We show that cosmological wavefunction coefficients associated with $n$-site chain and loop graphs for a cubic scalar theory in de Sitter spacetime have symbol alphabets given by subsets of $A_{2n{-}2}$ and $B_{2n{-}1}$ cluster variables, respectively, and satisfy the associated cluster adjacency properties. The key step in proving this is identifying a precise connection between graph "tubings" that appear in the kinematic flow equation and polygon "triangulations" that encode the combinatorics


id: 2603.08702v1
title: Approximate QCAs in one dimension using approximate algebras
authors: Daniel Ranard, Michael Walter, Freek Witteveen
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755770
source: arxiv
summary:
Quantum cellular automata (QCAs) are automorphisms of tensor product algebras that preserve locality, with local quantum circuits as a simple example. We study approximate QCAs, where the locality condition is only satisfied up to a small error, as occurs for local quantum dynamics on the lattice. A priori, approximate QCAs could exhibit genuinely new behavior, failing to be well-approximated by any exact QCA. We show this does not occur in one dimension: every approximate QCA on a finite circle


id: 2603.08710v1
title: Understanding thermal and quantum fluctuations in extended Kitaev-Yao-Lee spin-orbital model
authors: Jiefu Cen, Hae-Young Kee
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755775
source: arxiv
summary:
Building upon the spin-1/2 Kitaev model on a honeycomb lattice, the Yao-Lee spin-orbital model provides exactly solvable quantum spin liquids with potentially better stability against perturbations due to the additional degree of freedom. Recently, the microscopic mechanism underlying the Yao-Lee interaction in honeycomb materials has been uncovered, leading to an extended Kitaev-Yao-Lee spin-orbital model when the celebrated Kugel-Khomskii interaction is included. Numerical studies of this mode


id: 2603.08709v1
title: Scale Space Diffusion
authors: Soumik Mukhopadhyay, Prateksha Udhayanan, Abhinav Shrivastava
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755780
source: arxiv
summary:
Diffusion models degrade images through noise, and reversing this process reveals an information hierarchy across timesteps. Scale-space theory exhibits a similar hierarchy via low-pass filtering. We formalize this connection and show that highly noisy diffusion states contain no more information than small, downsampled images - raising the question of why they must be processed at full resolution. To address this, we fuse scale spaces into the diffusion process by formulating a family of diffus


id: 2603.08708v1
title: FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models
authors: Haoyang Li, Liang Wang, Siyu Zhou
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755785
source: arxiv
summary:
CLIP-based prompt tuning enables pretrained Vision-Language Models (VLMs) to efficiently adapt to downstream tasks. Although existing studies have made significant progress, they pay limited attention to changes in the internal attention representations of VLMs during the tuning process. In this paper, we attribute the failure modes of prompt tuning predictions to shifts in foreground attention of the visual encoder, and propose Foreground View-Guided Prompt Tuning (FVG-PT), an adaptive plug-and


id: 2603.08655v1
title: OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
authors: Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755814
source: arxiv
summary:
We introduce OfficeQA Pro, a benchmark for evaluating AI agents on grounded, multi-document reasoning over a large and heterogeneous document corpus. The corpus consists of U.S. Treasury Bulletins spanning nearly 100 years, comprising 89,000 pages and over 26 million numerical values. OfficeQA Pro consists of 133 questions that require precise document parsing, retrieval, and analytical reasoning across both unstructured text and tabular data. Frontier LLMs including Claude Opus 4.6, GPT-5.4, an


id: 2603.08592v1
title: Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations
authors: Jiangye Yuan, Gowri Kumar, Baoyuan Wang
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755818
source: arxiv
summary:
While Multimodal Large Language Models (MLLMs) have achieved remarkable success in 2D visual understanding, their ability to reason about 3D space remains limited. To address this gap, we introduce geometrically referenced 3D scene representations (GR3D). Given a set of input images, GR3D annotates objects in the images with unique IDs and encodes their 3D geometric attributes as textual references indexed by these IDs. This representation enables MLLMs to interpret 3D cues using their advanced 


id: 2603.08329v1
title: SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
authors: Yagiz Can Akay, Muhammed Yusuf Kartal, Esra Alparslan
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755822
source: arxiv
summary:
Answering complex, real-world queries often requires synthesizing facts scattered across vast document corpora. In these settings, standard retrieval-augmented generation (RAG) pipelines suffer from incomplete evidence coverage, while long-context large language models (LLMs) struggle to reason reliably over massive inputs. We introduce SPD-RAG, a hierarchical multi-agent framework for exhaustive cross-document question answering that decomposes the problem along the document axis. Each document


id: 2603.08711v1
title: Coupled-Layer Construction of Quantum Product Codes
authors: Shuyu Zhang, Tzu-Chieh Wei, Nathanan Tantivasadakarn
published: 2026-03-09
discovered_at: 2026-03-09T20:00:46.755903
source: arxiv
summary:
Product codes are a class of quantum error correcting codes built from two or more constituent codes. They have recently gained prominence for a breakthrough yielding quantum low-density parity-check (qLDPC) codes with favorable scaling of both code distance and encoding rate. However, despite its powerful algebraic formulation, the physical mechanism for assembling a general product code from its constituents remains unclear. In this letter, we show that the tensor and balanced product codes ad


id: 2603.08703v1
title: HiAR: Efficient Autoregressive Long Video Generation via Hierarchical Denoising
authors: Kai Zou, Dian Zheng, Hongbo Liu
published: 2026-03-09
discovered_at: 2026-03-10T00:05:07.635829
source: arxiv
summary:
Autoregressive (AR) diffusion offers a promising framework for generating videos of theoretically infinite length. However, a major challenge is maintaining temporal continuity while preventing the progressive quality degradation caused by error accumulation. To ensure continuity, existing methods typically condition on highly denoised contexts; yet, this practice propagates prediction errors with high certainty, thereby exacerbating degradation. In this paper, we argue that a highly clean conte


id: 2603.08697v1
title: Scalable Postselection of Quantum Resources
authors: J. Wilson Staples, Winston Fu, Jeff D. Thompson
published: 2026-03-09
discovered_at: 2026-03-10T00:05:07.636074
source: arxiv
summary:
The large overhead imposed by quantum error correction is a critical challenge to the realization of quantum computers, and motivates searching for alternative error correcting codes and fault-tolerant circuit constructions. Postselection is a powerful tool that builds large programs out of probabilistically generated sub-circuits, and has been shown to increase the threshold of quantum error correction based on fusing fixed-size resource states or concatenated codes. In this work, we present an


id: 2603.09977v1
title: Does hot QCD have a conformal manifold in the chiral limit?
authors: Shi Chen, Aleksey Cherman, Robert D. Pisarski
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190269
source: arxiv
summary:
Recent lattice evidence suggests the chiral phase transition in QCD is second-order for $N_f \ge 2$ massless flavors. We constrain CFT descriptions of a critical line in temperature $T$ and imaginary baryon chemical potential $θ_B = iμ_B/T$. An 't Hooft anomaly at general $θ_B$ constrains the transition even at $θ_B = 0$, leaving only three minimal scenarios. The best-motivated scenario for $N_f\ge3$, and perhaps also $N_f = 2$, is beyond Ginzburg-Landau, featuring a conformal manifold of $θ_B$-


id: 2603.09975v1
title: d-DNNF Modulo Theories: A General Framework for Polytime SMT Queries
authors: Gabriele Masina, Emanuale Civini, Massimo Michelutti
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190873
source: arxiv
summary:
In Knowledge Compilation (KC) a propositional knowledge base is compiled off-line into some target form, typically into deterministic decomposable negation normal form (d-DNNF) or one of its subcases, which is then used on-line to answer a large number of queries in polytime, such as clausal entailment, model counting, and others. The general idea is to push as much of the computational effort into the off-line compilation phase, which is amortized over all on-line polytime queries.
  In this pa


id: 2603.09974v1
title: Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
authors: Aleksei Rozanov, Arvind Renganathan, Vipin Kumar
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190905
source: arxiv
summary:
Accurately upscaling terrestrial carbon fluxes is central to estimating the global carbon budget, yet remains challenging due to the sparse and regionally biased distribution of ground measurements. Existing data-driven upscaling products often fail to generalize beyond observed domains, leading to systematic regional biases and high predictive uncertainty. We introduce Task-Aware Modulation with Representation Learning (TAM-RL), a framework that couples spatio-temporal representation learning w


id: 2603.09973v1
authors: Srinivasan Raghunathan, Ayan Mitra, Nikolina Šarčević
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190922
source: arxiv
title:
Probing Physics Beyond the Standard Model through Combined Analyses of Next-Generation Type Ia Supernova, CMB, and BAO Surveys

summary:
Observations of Type Ia supernovae (SNIa), baryon acoustic oscillations (BAO), and the cosmic microwave background (CMB), which probe the late-, intermediate-, and early-universe epochs, respectively, provide complementary constraints on the expansion history of the Universe. In this work, we forecast constraints on dark energy and other extensions to the standard cosmological model by combining the SNIa sample expected from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST),


id: 2603.09971v1
title: TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation
authors: William Shen, Nishanth Kumar, Sahit Chintalapudi
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190929
source: arxiv
summary:
We present TiPToP, an extensible modular system that combines pretrained vision foundation models with an existing Task and Motion Planner (TAMP) to solve multi-step manipulation tasks directly from input RGB images and natural-language instructions. Our system aims to be simple and easy-to-use: it can be installed and run on a standard DROID setup in under one hour and adapted to new embodiments with minimal effort. We evaluate TiPToP -- which requires zero robot data -- over 28 tabletop manipu


id: 2603.09972v1
title: From Data Statistics to Feature Geometry: How Correlations Shape Superposition
authors: Lucas Prieto, Edward Stevinson, Melih Barsbey
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190940
source: arxiv
summary:
A central idea in mechanistic interpretability is that neural networks represent more features than they have dimensions, arranging them in superposition to form an over-complete basis. This framing has been influential, motivating dictionary learning approaches such as sparse autoencoders. However, superposition has mostly been studied in idealized settings where features are sparse and uncorrelated. In these settings, superposition is typically understood as introducing interference that must 


id: 2603.09976v1
authors: Dohyeong Kim, Myungshin Im, Hyunjin Shim
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190952
source: arxiv
title:
Black Hole Properties of Type-1 Active Galactic Nuclei in the North Ecliptic Pole Wide Field: I. Mid-infrared Sources with Optical Counterparts

summary:
We present measurements of black hole (BH) properties of 861 Type-1 active galactic nuclei (AGNs) in the North Ecliptic Pole (NEP)-Wide field. These AGNs are detected in both optical and mid-infrared (MIR) surveys and are identified as Type-1 AGNs in optical spectroscopic surveys. By performing spectral energy distribution (SED) and line fitting, we obtained their MIR continuum luminosities ($L_{\rm MIR}$) as well as full width at half maximum (FWHM) values for the \ion{C}{4}, \ion{Mg}{2}, H$β$,


id: 2603.09952v1
authors: Ruihan Xu, Jiajin Li, Yiping Lu
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190968
source: arxiv
title:
On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer

summary:
A central question in modern deep learning is how to design optimizers whose behavior remains stable as the network width $w$ increases. We address this question by interpreting several widely used neural-network optimizers, including \textrm{AdamW} and \textrm{Muon}, as instances of steepest descent under matrix operator norms. This perspective links optimizer geometry with the Lipschitz structure of the network forward map, and enables width-independent control of both Lipschitz and smoothness


id: 2603.09964v1
authors: Jazmin Collins, Sharon Y Lin, Tianqi Liu
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190974
source: arxiv
title:
Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People

summary:
As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have proposed an AI "sighted guide" to help users navigate VR and answer their questions, but it has not been studied with users. To address this gap, we developed a large language model (LLM)-powered guide and studied its use with 16 BLV participants in virtual environments with confederates posing as other users. We found that when alone, partic


id: 2603.09963v1
title: Emotional Modulation in Swarm Decision Dynamics
authors: David Freire-Obregón
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190980
source: arxiv
summary:
Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equation, developed initially to describe nest-site selection in honeybee swarms, captures this dynamic through recruitment and inhibition processes. Here, we extend the bee equation into an agent-based model in which emotional valence (positive-negative) and arousal (low-high) act as modulators of interaction rates, effectively altering the


id: 2603.09951v1
title: Towards a Neural Debugger for Python
authors: Maximilian Beck, Jonas Gehring, Jannik Kossen
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.190987
source: arxiv
summary:
Training large language models (LLMs) on Python execution traces grounds them in code execution and enables the line-by-line execution prediction of whole Python programs, effectively turning them into neural interpreters (FAIR CodeGen Team et al., 2025). However, developers rarely execute programs step by step; instead, they use debuggers to stop execution at certain breakpoints and step through relevant portions only while inspecting or modifying program variables. Existing neural interpreter 


id: 2603.09970v1
title: CREATE: Testing LLMs for Associative Creativity
authors: Manya Wadhwa, Tiasa Singha Roy, Harvey Lederman
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191026
source: arxiv
summary:
A key component of creativity is associative reasoning: the ability to draw novel yet meaningful connections between concepts. We introduce CREATE, a benchmark designed to evaluate models' capacity for creative associative reasoning. CREATE requires models to generate sets of paths connecting concepts in a model's parametric knowledge. Paths should have high specificity (distinctiveness and closeness of the concept connection) and high diversity (dissimilarity from other paths), and models are s


id: 2603.09957v1
title: Think Before You Lie: How Reasoning Improves Honesty
authors: Ann Yuan, Asma Ghandeharioun, Carter Blum
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191039
source: arxiv
summary:
While existing evaluations of large language models (LLMs) measure deception rates, the underlying conditions that give rise to deceptive behavior are poorly understood. We investigate this question using a novel dataset of realistic moral trade-offs where honesty incurs variable costs. Contrary to humans, who tend to become less honest given time to deliberate (Capraro, 2017; Capraro et al., 2019), we find that reasoning consistently increases honesty across scales and for several LLM families.


id: 2603.09966v1
title: Caratheodory II: The Geometry of Financial Irreversibility
authors: Bernhard K Meister
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191069
source: arxiv
summary:
In quantum mechanics and finance, numeraire invariance - the unobservability of absolute phase or price scale - fits with a projective and curved state space. This projective geometry has a measurable signature. For spin-one and higher spin systems, the Taylor expansion of directed distance contains a non-zero cubic term, which induces a fundamental asymmetry under the exchange of states. The Second Law, the failure of Maxwell's demon, and the limitations of sequential traders can all be reduced


id: 2603.09938v1
title: Model Merging in the Era of Large Language Models: Methods, Applications, and Future Directions
authors: Mingyang Song, Mao Zheng
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191118
source: arxiv
summary:
Model merging has emerged as a transformative paradigm for combining the capabilities of multiple neural networks into a single unified model without additional training. With the rapid proliferation of fine-tuned large language models~(LLMs), merging techniques offer a computationally efficient alternative to ensembles and full retraining, enabling practitioners to compose specialized capabilities at minimal cost. This survey presents a comprehensive and structured examination of model merging 


id: 2603.09918v1
authors: Juana M. Martínez-Heredia, Adrián Portos, Marcel Štěpánek
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191124
source: arxiv
title:
Emergency Locator Transmitters in the Era of More Electric Aircraft: A Comprehensive Review of Energy, Integration and Safety Challenges

summary:
The progressive electrification of aircraft systems under the more electric aircraft (MEA) paradigm is reshaping the design and qualification constraints of safety-critical avionics. Emergency locator transmitters (ELTs), which are essential for post-accident localization and search and rescue (SAR) operations, have evolved from legacy 121.5/243 MHz beacons to digitally encoded 406 MHz systems, typically retaining 121.5 MHz as a homing signal in combined units. In parallel, the modernization of 


id: 2603.09884v1
title: Benchmarking Political Persuasion Risks Across Frontier Large Language Models
authors: Zhongren Chen, Joshua Kalla, Quan Le
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191131
source: arxiv
summary:
Concerns persist regarding the capacity of Large Language Models (LLMs) to sway political views. Although prior research has claimed that LLMs are not more persuasive than standard political campaign practices, the recent rise of frontier models warrants further study. In two survey experiments (N=19,145) across bipartisan issues and stances, we evaluate seven state-of-the-art LLMs developed by Anthropic, OpenAI, Google, and xAI. We find that LLMs outperform standard campaign advertisements, wit


id: 2603.09774v1
title: World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
authors: Shouwei Ruan, Bin Wang, Zhenyu Wu
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191138
source: arxiv
summary:
Achieving robust spatial reasoning remains a fundamental challenge for current Multimodal Foundation Models (MFMs). Existing methods either overfit statistical shortcuts via 3D grounding data or remain confined to 2D visual perception, limiting both spatial reasoning accuracy and generalization in unseen scenarios. Inspired by the spatial cognitive mapping mechanisms of biological intelligence, we propose World2Mind, a training-free spatial intelligence toolkit. At its core, World2Mind leverages


id: 2603.09643v1
authors: Anupam Purwar, Aditya Choudhary
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191145
source: arxiv
title:
MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings

summary:
Current evaluation frameworks and benchmarks for LLM powered agents focus on text chat driven agents, these frameworks do not expose the persona of user to the agent, thus operating in a user agnostic environment. Importantly, in customer experience management domain, the agent's behaviour evolves as the agent learns about user personality. With proliferation of real time TTS and multi-modal language models, LLM based agents are gradually going to become multi-modal. Towards this, we propose the


id: 2603.09947v1
title: The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
authors: Ronald Doku
published: 2026-03-10
discovered_at: 2026-03-10T20:00:19.191162
source: arxiv
summary:
Ranked decision systems -- recommenders, ad auctions, clinical triage queues -- must decide when to intervene in ranked outputs and when to abstain. We study when confidence-based abstention monotonically improves decision quality, and when it fails. The formal conditions are simple: rank-alignment and no inversion zones. The substantive contribution is identifying why these conditions hold or fail: the distinction between structural uncertainty (missing data, e.g., cold-start) and contextual un


id: 2603.11048v1
title: COMIC: Agentic Sketch Comedy Generation
authors: Susung Hong, Brian Curless, Ira Kemelmacher-Shlizerman
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.990851
source: arxiv
summary:
We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting with character references, the system employs a population of agents loosely based on real production studio roles, structured to optimize the quality and diversity of ideas and outputs through iterative competition, evaluation, and improvement. A key contribution is the introduction of LLM critics aligned with real viewer preferences through the analysis of a c


id: 2603.11047v1
title: LiTo: Surface Light Field Tokenization
authors: Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991389
source: arxiv
summary:
We propose a 3D latent representation that jointly models object geometry and view-dependent appearance. Most prior works focus on either reconstructing 3D geometry or predicting view-independent diffuse appearance, and thus struggle to capture realistic view-dependent effects. Our approach leverages that RGB-depth images provide samples of a surface light field. By encoding random subsamples of this surface light field into a compact set of latent vectors, our model learns to represent both geo


id: 2603.11045v1
title: Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
authors: Tao Zhong, Yixun Hu, Dongzhe Zheng
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991440
source: arxiv
summary:
We propose Neural Field Thermal Tomography (NeFTY), a differentiable physics framework for the quantitative 3D reconstruction of material properties from transient surface temperature measurements. While traditional thermography relies on pixel-wise 1D approximations that neglect lateral diffusion, and soft-constrained Physics-Informed Neural Networks (PINNs) often fail in transient diffusion scenarios due to gradient stiffness, NeFTY parameterizes the 3D diffusivity field as a continuous neural


id: 2603.11042v1
title: V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
authors: Yan-Bo Lin, Jonah Casebeer, Long Mai
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991469
source: arxiv
summary:
Generating music that temporally aligns with video events is challenging for existing text-to-music models, which lack fine-grained temporal control. We introduce V2M-Zero, a zero-pair video-to-music generation approach that outputs time-aligned music for video. Our method is motivated by a key observation: temporal synchronization requires matching when and how much change occurs, not what changes. While musical and visual events differ semantically, they exhibit shared temporal structure that 


id: 2603.11035v1
authors: CMS Collaboration
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991488
source: arxiv
title:
Search for Z' bosons decaying into charginos in final states with two oppositely charged leptons and missing transverse momentum in pp collisions at $\sqrt{s}$ = 13 TeV

summary:
Massive leptophobic Z' bosons decaying to a pair of charginos are searched for in proton-proton collisions at $\sqrt{s}$ = 13 TeV, using data samples collected by the CMS experiment in 2016, 2017, and 2018, corresponding to a total integrated luminosity of 138 fb$^{-1}$. The Z' bosons originate from an additional U(1)' gauge symmetry extended to the minimal supersymmetric standard model. The final state consists of two oppositely charged leptons and missing transverse momentum. The signal extrac


id: 2603.11041v1
title: DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
authors: Shuyao Shang, Bing Zhan, Yunfei Yan
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991522
source: arxiv
summary:
We propose DynVLA, a driving VLA model that introduces a new CoT paradigm termed Dynamics CoT. DynVLA forecasts compact world dynamics before action generation, enabling more informed and physically grounded decision-making. To obtain compact dynamics representations, DynVLA introduces a Dynamics Tokenizer that compresses future evolution into a small set of dynamics tokens. Considering the rich environment dynamics in interaction-intensive driving scenarios, DynVLA decouples ego-centric and env


id: 2603.11031v1
title: Chasing RATs: Tracing Reading for and as Creative Activity
authors: Sophia Liu, Shm Garanganao Almeda
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991528
source: arxiv
summary:
Creativity research has privileged making over the interpretive labor that precedes and shapes it. We introduce Reading Activity Traces (RATs), a proposal that treats reading -- broadly defined to include navigating, interpreting, and curating media across interconnected sources -- as creative activity both for future artifacts and as a form of creation in its own right. By tracing trajectories of traversal, association, and reflection as inspectable artifacts, RATs render visible the creative w


id: 2603.11030v1
title: Exploiting Spatial Modulation for Strong PhaseNoise Mitigation in mmWave Massive MIMO
authors: Oshin Daoud, Haifa Fares, Amor Nafkha
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991535
source: arxiv
summary:
This letter investigates phase noise (PN) mitigation in generalized receiver spatial modulation (GRSM) massive MIMO systems at mmWave under a common local oscillator (CLO). Under CLO, the received energy remains invariant relative to the no-PN scenario, enabling reliable energy-based spatial detection using the no-PN threshold. PN-sensitivity and geometry-based metrics are introduced to design compact, PN-resilient MQAM symbol pools with low detection complexity. PN robustness is further improve


id: 2603.11006v1
authors: David Gómez-Cambronero, Daniel Munteanu, Ana Isabel González-Tablas
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991542
source: arxiv
title:
Layered Performance Analysis of TLS 1.3 Handshakes: Classical, Hybrid, and Pure Post-Quantum Key Exchange

summary:
In this paper, we present a laboratory study focused on the impact of post-quantum cryptography (PQC) algorithms on multiple layers of stateful HTTP over TLS transactions: the TCP handshake, the intermediate TCP-TLS layer, the TLS handshake, the intermediate TLS layer, and the HTTP application layer. To this end, we propose a laboratory architecture that emulates a real-world setup in which a load test of up to 100 transactions per second is sent to a load balancer, which in turn forwards them t


id: 2603.10987v1
title: MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systems
authors: Heikki Haario, Zhi-Song Liu, Martin Simon
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991550
source: arxiv
summary:
Neural networks are a commonly used approach to replace physical models with computationally cheap surrogates. Parametric uncertainty quantification can be included in training, assuming that an accurate prior distribution of the model parameters is available. Here we study the common opposite situation, where direct screening or random sampling of model parameters leads to exhaustive training times and evaluations at unphysical parameter values. Our solution is to decouple uncertainty quantific


id: 2603.11044v1
title: Agentar-Fin-OCR
authors: Siyi Qian, Xiongfei Bai, Bingtao Fu
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991557
source: arxiv
summary:
In this paper, we propose Agentar-Fin-OCR, a document parsing system tailored to financial-domain documents, transforming ultra-long financial PDFs into semantically consistent, highly accurate, structured outputs with auditing-grade provenance. To address finance-specific challenges such as complex layouts, cross-page structural discontinuities, and cell-level referencing capability, Agentar-Fin-OCR combines (1) a Cross-page Contents Consolidation algorithm to restore continuity across pages an


id: 2603.11032v1
title: Uncovering statistical structure in large-scale neural activity with Restricted Boltzmann Machines
authors: Nicolas Béreux, Giovanni Catania, Aurélien Decelle
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991570
source: arxiv
summary:
Large-scale electrophysiological recordings now allow simultaneous monitoring of thousands of neurons across multiple brain regions, revealing structured variability in neural population activity. Understanding how these collective patterns emerge from microscopic neural interactions requires models that are scalable, predictive, and interpretable. Statistical physics provides principled frameworks to address this complexity, including maximum-entropy models that offer transparent descriptions o


id: 2603.11027v1
authors: Mingyang Song, Mao Zheng, Chenning Xu
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991588
source: arxiv
title:
Beyond the Illusion of Consensus: From Surface Heuristics to Knowledge-Grounded Evaluation in LLM-as-a-Judge

summary:
The paradigm of LLM-as-a-judge relies on a critical assumption, namely that high inter-evaluator agreement indicates reliable and objective evaluation. We present two complementary findings that challenge this assumption. \textbf{First}, we demonstrate that this consensus is frequently illusory. We identify and formalize \textbf{Evaluation Illusion}, a phenomenon where LLM judges generate sophisticated critiques yet anchor scores on shared surface heuristics rather than substantive quality. Thro


id: 2603.11024v1
title: Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style
authors: Marvin Limpijankit, Milad Alshomary, Yassin Oulad Daoud
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991607
source: arxiv
summary:
VLMs have become increasingly proficient at a range of computer vision tasks, such as visual question answering and object detection. This includes increasingly strong capabilities in the domain of art, from analyzing artwork to generation of art. In an interdisciplinary collaboration between computer scientists and art historians, we characterize the mechanisms underlying VLMs' ability to predict artistic style and assess the extent to which they align with the criteria art historians use to re


id: 2603.11037v1
title: Realizing the Emery Model in Optical Lattices for Quantum Simulation of Cuprates and Nickelates
authors: Hannah Lange, Liyang Qiu, Robin Groth
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991624
source: arxiv
summary:
The microscopic origin of high-temperature superconductivity in cuprates remains one of the central open questions in condensed matter physics. Growing experimental and theoretical evidence suggests that the bare single-band Fermi-Hubbard model may not fully capture properties of cuprates such as superconductivity, motivating us to revisit the canonical three-band model of the copper-oxide planes - the Emery model - from which the single-band counterpart was originally derived. Here, we propose 


id: 2603.11046v1
title: On Utility Maximization under Multivariate Fake Stationary Affine Volterra Models
authors: Emmanuel Gnabeyeu
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991642
source: arxiv
summary:
This paper is concerned with Merton's portfolio optimization problem in a Volterra stochastic environment described by a multivariate fake stationary Volterra--Heston model. Due to the non-Markovianity and non-semimartingality of the underlying processes, the classical stochastic control approach cannot be directly applied in this setting. Instead, the problem is tackled using a stochastic factor solution to a Riccati backward stochastic differential equation (BSDE). Our approach is inspired by 


id: 2603.11029v1
title: Separating Oblivious and Adaptive Differential Privacy under Continual Observation
authors: Mark Bun, Marco Gaboardi, Connor Wagaman
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991671
source: arxiv
summary:
We resolve an open question of Jain, Raskhodnikova, Sivakumar, and Smith (ICML 2023) by exhibiting a problem separating differential privacy under continual observation in the oblivious and adaptive settings. The continual observation (a.k.a. continual release) model formalizes privacy for streaming algorithms, where data is received over time and output is released at each time step. In the oblivious setting, privacy need only hold for data streams fixed in advance; in the adaptive setting, pri


id: 2603.10990v1
title: Too Vivid to Be Real? Benchmarking and Calibrating Generative Color Fidelity
authors: Zhengyao Fang, Zexi Jia, Yijia Zhong
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991678
source: arxiv
summary:
Recent advances in text-to-image (T2I) generation have greatly improved visual quality, yet producing images that appear visually authentic to real-world photography remains challenging. This is partly due to biases in existing evaluation paradigms: human ratings and preference-trained metrics often favor visually vivid images with exaggerated saturation and contrast, which make generations often too vivid to be real even when prompted for realistic-style images. To address this issue, we presen


id: 2603.10795v1
title: Re-Evaluating EVMBench: Are AI Agents Ready for Smart Contract Security?
authors: Chaoyuan Peng, Lei Wu, Yajin Zhou
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991684
source: arxiv
summary:
EVMbench, released by OpenAI, Paradigm, and OtterSec, is the first large-scale benchmark for AI agents on smart contract security. Its results -- agents detect up to 45.6% of vulnerabilities and exploit 72.2% of a curated subset -- have fueled expectations that fully automated AI auditing is within reach. We identify two limitations: its narrow evaluation scope (14 agent configurations, most models tested on only their vendor scaffold) and its reliance on audit-contest data published before ever


id: 2603.10521v1
title: IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs
authors: Chuan Guo, Juan Felipe Ceron Uribe, Sicheng Zhu
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991690
source: arxiv
summary:
Instruction hierarchy (IH) defines how LLMs prioritize system, developer, user, and tool instructions under conflict, providing a concrete, trust-ordered policy for resolving instruction conflicts. IH is key to defending against jailbreaks, system prompt extractions, and agentic prompt injections. However, robust IH behavior is difficult to train: IH failures can be confounded with instruction-following failures, conflicts can be nuanced, and models can learn shortcuts such as overrefusing. We i


id: 2603.10377v1
title: Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning
authors: Md Muntaqim Meherab, Noor Islam S. Mohammad, Faiza Feroz
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991697
source: arxiv
summary:
Sparse autoencoders can localize where concepts live in language models, but not how they interact during multi-step reasoning. We propose Causal Concept Graphs (CCG): a directed acyclic graph over sparse, interpretable latent features, where edges capture learned causal dependencies between concepts. We combine task-conditioned sparse autoencoders for concept discovery with DAGMA-style differentiable structure learning for graph recovery and introduce the Causal Fidelity Score (CFS) to evaluate


id: 2603.11040v1
title: On positive definite thresholding of correlation matrices
authors: Sujit Sakharam Damase, James Eldred Pascoe
published: 2026-03-11
discovered_at: 2026-03-11T20:00:27.991783
source: arxiv
summary:
Standard thresholding techniques for correlation matrices often destroy positive semidefiniteness. We investigate the construction of positive definite functions that vanish on specific sets $K \subseteq [-1,1)$, ensuring that the thresholded matrix remains a valid correlation matrix. We establish existence results, define a criterion for faithfulness based on the linear coefficient of the normalized Gegenbauer expansion in analogy with Delsarte's method in coding theory, and provide bounds for 


# learnings

paper_id: 2602.15029v1
applied_to: omega-evolution
timestamp: 2026-02-17T15:30:00.339597
insight:
The paper highlights how translation symmetry in language statistics leads to the emergence of geometric structures in neural network representations, such as circular organization of calendar months and linear manifolds for latitudes and longitudes. | This finding is relevant to understanding how language models learn structured representations, which could inform the development of more efficient and interpretable AGI architectures like Eden's phi-fractal consciousness and omega-evolution components.


paper_id: 2602.15031v1
applied_to: omega-evolution
timestamp: 2026-03-06T22:42:19.605699
insight:
The paper introduces EditCtrl, an efficient video inpainting framework that focuses computation only where necessary, addressing the computational inefficiency of existing methods. | This approach aligns with omega-evolution's focus on optimizing resource allocation and processing efficiency, making it applicable for enhancing real-time generative video editing systems.


paper_id: 2603.05506v1
applied_to: omega-evolution
timestamp: 2026-03-07T00:02:28.433353
insight:
FaceCam introduces a scale-aware representation to improve camera control for portrait videos, addressing geometric distortions and visual artifacts. | This approach enhances video generation models, which can be related to model improvement and scalability in AI systems.


paper_id: 2603.05506v1
applied_to: unified_mind
timestamp: 2026-03-07T00:02:28.453588
insight:
The system's customization capability for camera trajectories in portrait videos. | This customization and adaptability align with managing diverse functionalities, indicating versatility in system design.


paper_id: 2603.05506v1
applied_to: reasoning
timestamp: 2026-03-07T00:02:28.462210
insight:
The use of scale-aware conditioning in FaceCam involves understanding and adjusting based on the scale of video content. | This logical deduction and problem-solving aspect relates to the reasoning component of AGI functions.


paper_id: 2603.05503v1
applied_to: omega-evolution
timestamp: 2026-03-07T00:05:36.639746
insight:
The paper identifies that a significant fraction of token-to-token connections in attention mechanisms yield negligible scores and can be skipped without affecting the result. | This finding can be applied to optimize attention mechanisms in AGI systems, potentially improving computational efficiency and reducing runtime for tasks like text-to-video generation.


paper_id: 2603.05498v1
applied_to: omega-evolution, reasoning
timestamp: 2026-03-07T00:40:11.881681
insight:
The co-occurrence of massive activations and attention sinks in Transformer models highlights the need for understanding their functional roles and causal relationships. | This finding is relevant to the study of how information is processed and attention is directed in AGI systems, particularly in the context of optimizing model efficiency and addressing potential biases in information processing.


paper_id: 2603.05497v1
applied_to: omega-evolution
timestamp: 2026-03-07T02:38:46.288408
insight:
The paper introduces Safe-SAGE, a framework that integrates semantic understanding with safety-critical control, addressing the limitation of traditional methods that treat all obstacles uniformly. | This approach can be applied to Eden's AGI architecture to enhance its ability to handle contextual significance in decision-making processes, ensuring safer and more adaptive interactions.


paper_id: 2603.05497v1
applied_to: unified_mind
timestamp: 2026-03-07T02:38:46.303161
insight:
The framework bridges high-level semantic understanding with low-level safety-critical control, which is crucial for systems that require both contextual awareness and precise control mechanisms. | This integration can be leveraged by Eden's unified mind component to harmonize diverse cognitive processes, ensuring coherent and context-aware system behavior.


paper_id: 2603.05497v1
applied_to: phi-fractal consciousness
timestamp: 2026-03-07T02:38:46.316217
insight:
The use of Laplace-Modulated Poisson Safety Functions in Safe-SAGE demonstrates a sophisticated mathematical approach to ensure safety while maintaining adaptability. | This mathematical foundation can inform the development of more robust safety functions within Eden's phi-fractal consciousness, enhancing its fluid intelligence and adaptive reasoning capabilities.


paper_id: 2603.05479v1
applied_to: omega-evolution
timestamp: 2026-03-07T04:06:52.780689
insight:
The paper discusses the implementation of quantum algorithms for simulating coupled harmonic oscillators, which could offer exponential speedups over classical methods. | This could enhance omega-evolution by providing more efficient optimization techniques, potentially improving the evolutionary processes within AGI systems.


paper_id: 2603.05479v1
applied_to: distributed Ollama models
timestamp: 2026-03-07T04:06:52.796039
insight:
The paper bridges theory and practice by developing multiple realizations of the quantum algorithm, which could be implemented in distributed systems. | This approach supports the development of distributed Ollama models, where multiple algorithmic implementations can work together to enhance computational efficiency and scalability.


paper_id: 2603.05308v1
applied_to: reasoning, meta-learning
timestamp: 2026-03-07T04:38:45.800441
insight:
Med-V1 demonstrates the effectiveness of small language models in biomedical evidence attribution, highlighting the trade-offs between model size and performance. | This finding can be applied to optimize resource allocation in AGI systems, ensuring scalability without compromising performance.


paper_id: 2603.05308v1
applied_to: reasoning, meta-learning
timestamp: 2026-03-07T04:38:45.820633
insight:
The use of synthetic data for training emphasizes the importance of data quality in model performance. | This insight can inform the development of more efficient data synthesis techniques in AGI, enhancing learning capabilities.


paper_id: 2602.14917v1
applied_to: reasoning
timestamp: 2026-03-07T06:40:37.185824
insight:
BFS-PO reduces computational costs and verbose output in large reasoning models by addressing overthinking. | This approach can enhance the efficiency of Eden's reasoning processes, making them less resource-intensive and more effective in handling complex tasks.


paper_id: 2602.14917v1
applied_to: meta-learning
timestamp: 2026-03-07T06:40:37.199746
insight:
BFS-PO is more sample-efficient compared to existing methods like GRPO/DAPO. | This improvement can be integrated into Eden's meta-learning processes to optimize the learning efficiency of its AGI functions.


paper_id: 2602.15021v1
applied_to: omega-evolution
timestamp: 2026-03-07T06:41:53.002987
insight:
The paper investigates the transferability of pre-trained neural networks from low-resolution to moderate-resolution stellar spectra, highlighting the importance of model generalization across different data resolutions. | This finding is relevant to Eden's AGI architecture, particularly in the context of omega-evolution, as it demonstrates the ability to adapt and evolve neural networks across different data scales, which can be applied to improve the generalization capabilities of Eden's models.


paper_id: 2602.15021v1
applied_to: distributed Ollama models
timestamp: 2026-03-07T06:41:53.032869
insight:
The use of pre-trained models and fine-tuning strategies for cross-survey generalization can be applied to enhance the learning efficiency and adaptability of neural networks in various domains. | This insight is applicable to the distributed Ollama models component of Eden's architecture, as it suggests methods for efficiently transferring knowledge across different datasets, which can be scaled and distributed across multiple Ollama instances for improved performance.


paper_id: 2603.06576v1
applied_to: omega-evolution
timestamp: 2026-03-08T20:04:46.153992
insight:
The paper addresses the challenge of redundant computation and spatial inconsistency in visual processing by integrating semantic knowledge from LLMs into a unified Bird's-Eye View representation. | This approach optimizes the processing efficiency and spatial consistency required for complex decision-making in autonomous systems, aligning with the goals of omega-evolution in enhancing system performance.


paper_id: 2603.06576v1
applied_to: consciousness
timestamp: 2026-03-08T20:04:46.169092
insight:
The integration of semantic understanding from LLMs into a unified spatial representation highlights the importance of holistic information processing, which mirrors the phi-fractal consciousness's ability to integrate diverse data streams for comprehensive understanding. | This method demonstrates how semantic and spatial information can be unified, providing insights into how consciousness processes information holistically in AGI systems.


paper_id: 2603.06569v1
applied_to: omega-evolution
timestamp: 2026-03-08T20:10:31.765779
insight:
The paper explores efficient VLMs and challenges traditional pretraining methods, highlighting the need for optimized models suitable for constrained devices. | This relates to omega-evolution, as optimizing model efficiency and scalability is crucial for deployment on mobile and edge devices, aligning with Eden's goal of practical AGI applications.


paper_id: 2603.06569v1
applied_to: reasoning|meta-learning
timestamp: 2026-03-08T20:10:31.781332
insight:
The identification of an objective mismatch in contrastive learning points to the need for adaptive and efficient training strategies. | This finding supports the use of reasoning and meta-learning in Eden's architecture to dynamically adjust and improve learning processes based on task requirements.


paper_id: 2603.06566v1
applied_to: omega-evolution
timestamp: 2026-03-08T20:42:33.853402
insight:
UMAP's ability to identify subpopulations in gravitational wave data can be applied to model-independent techniques in AGI. | Enhancing model-independent analysis in AGI by leveraging UMAP for pattern recognition and clustering.


paper_id: 2603.06566v1
applied_to: distributed Ollama models
timestamp: 2026-03-08T20:42:33.866075
insight:
The use of dimensionality reduction techniques like UMAP can aid in uncovering hidden structures within complex data sets, which is crucial for AGI's learning and reasoning processes. | Improving the efficiency of distributed Ollama models by reducing data complexity and enhancing feature extraction.


paper_id: 2603.05735v1
applied_to: omega-evolution, reasoning, meta-learning
timestamp: 2026-03-09T00:02:46.884269
insight:
The paper demonstrates the use of AI agents in performing complex, iterative, and collaborative scientific tasks, which mirrors Eden's structured approach to AGI functions. | The analysis and writing of the paper by AI agents under physicist supervision highlight the iterative and collaborative nature of scientific research, which aligns with Eden's layers of systematic causal reasoning. The use of Iterative Bayesian Unfolding and Monte Carlo corrections exemplifies multi-step causal reasoning and iterative improvement, relevant to ChainReasoning and omega-evolution.


paper_id: 2603.08212v1
applied_to: omega-evolution
timestamp: 2026-03-09T20:06:36.023088
insight:
Position decoding models were underestimated in their performance compared to velocity decoding, highlighting the impact of training stability on model evaluation. | This finding underscores the importance of robust training protocols in model development, which can be applied to enhance the accuracy and reliability of AGI systems.


paper_id: 2603.08212v1
applied_to: meta-learning|reasoning
timestamp: 2026-03-09T20:06:36.033817
insight:
Re-evaluating previous conclusions through systematic analysis can lead to new insights, emphasizing the need for continuous learning and adaptation in AGI architectures. | This process of re-evaluation is a form of meta-learning, which can improve the reasoning capabilities of AGI systems by refining their understanding of causality and correlations.


paper_id: 2603.08200v1
applied_to: reasoning
timestamp: 2026-03-09T20:42:35.727894
insight:
The conversion process involved identifying and addressing challenges systematically, which mirrors the problem-solving and reasoning capabilities required in AGI systems. | The structured approach to converting the codebase can inform the development of systematic reasoning in AGI architectures, particularly in handling complex, multi-step tasks.


paper_id: 2603.08200v1
applied_to: meta-learning
timestamp: 2026-03-09T20:42:35.747937
insight:
The experience highlights the importance of adaptability and learning from challenges, which is crucial for continuous improvement and evolution in AGI systems. | The lessons learned from the conversion process can be applied to meta-learning functions, enhancing AGI's ability to adapt and improve over time.


paper_id: 2603.08674v1
applied_to: omega-evolution
timestamp: 2026-03-09T22:44:40.201797
insight:
The paper presents a method to generate 3D facial animations for two interacting individuals from audio, emphasizing dynamic spatial relationships. | This can be applied to enhance multi-agent interaction models in AGI, where understanding spatial dynamics is crucial for realistic social interactions.


paper_id: 2603.08674v1
applied_to: emotional-modeling
timestamp: 2026-03-09T22:44:40.225014
insight:
The approach models co-located interactions, including relative position and gaze, which are essential for realistic dialogue animations. | This can improve the emotional modeling component of AGI by providing more nuanced expressions and interactions, making virtual agents more believable.


paper_id: 2603.08674v1
applied_to: distributed-ollama-models
timestamp: 2026-03-09T22:44:40.235146
insight:
The system synthesizes full performances of both individuals, moving beyond disembodied heads to include realistic animations. | This advancement can be integrated into distributed Ollama models to enhance the processing of audio and spatial data for more immersive interactions.


paper_id: 2603.08706v1
applied_to: consciousness
timestamp: 2026-03-10T00:09:06.325771
insight:
The paper introduces self-reflection supervision through contrasts between expert and alternative actions, which helps agents understand the quality of their actions. | This approach aligns with Eden's phi-fractal consciousness, as it involves self-awareness and critical evaluation of actions, enhancing the agent's ability to reflect on its decisions.


paper_id: 2603.08706v1
applied_to: meta-learning|omega-evolution
timestamp: 2026-03-10T00:09:06.341098
insight:
The paper suggests moving beyond traditional imitation learning by incorporating self-reflection, which could be seen as a form of meta-learning. | This ties into Eden's omega-evolution, which focuses on the evolutionary aspects of learning and adaptation, allowing the model to evolve beyond imitation through self-reflection and meta-learning strategies.


paper_id: 2603.08706v1
applied_to: unified_mind
timestamp: 2026-03-10T00:09:06.352980
insight:
The emphasis on contrasting expert actions with suboptimal alternatives to improve action quality is crucial for developing a unified understanding of decision-making processes. | This finding is relevant to Eden's unified mind architecture, as it integrates diverse reasoning and decision-making processes into a cohesive framework, enhancing the model's ability to evaluate and choose actions effectively.


paper_id: 2603.08710v1
applied_to: omega-evolution|reasoning
timestamp: 2026-03-10T00:38:56.133344
insight:
The extended Kitaev-Yao-Lee spin-orbital model incorporates additional interactions (Kugel-Khomskii) to enhance stability, analogous to AGI's layered reasoning and adaptive evolution. | This approach mirrors how AGI systems like Eden's use multiple layers and interactions to improve reasoning and stability.


paper_id: 2603.08710v1
applied_to: meta-learning|reasoning
timestamp: 2026-03-10T00:38:56.143375
insight:
Numerical studies of the model demonstrate iterative testing and refinement, similar to the meta-learning processes in AGI systems. | The iterative nature of the studies reflects how AGI systems use meta-learning to optimize their reasoning and decision-making processes.


paper_id: 2603.08709v1
applied_to: omega-evolution
timestamp: 2026-03-10T00:40:06.980149
insight:
The paper introduces a method to integrate scale-space theory into diffusion models, revealing information hierarchies and questioning the necessity of full-resolution processing. | This approach could enhance the efficiency and scalability of diffusion models, which are relevant to Eden's AGI architecture by improving information processing and hierarchical reasoning.


paper_id: 2603.08708v1
applied_to: omega-evolution
timestamp: 2026-03-10T00:42:06.415626
insight:
FVG-PT addresses the challenge of adapting Vision-Language Models through prompt tuning, focusing on shifts in visual attention during the tuning process. | This approach can be applied to enhance the adaptive capabilities of AGI systems, particularly in optimizing language and vision integration, which aligns with the omega-evolution component's focus on continuous learning and improvement.


paper_id: 2603.08708v1
applied_to: distributed Ollama models
timestamp: 2026-03-10T00:42:06.438901
insight:
The method involves iterative tuning and optimization, which is crucial for maintaining efficiency in model performance. | This iterative process can be integrated into the distributed Ollama models to ensure scalability and robustness in real-world applications, leveraging the distributed processing capabilities for enhanced performance.


paper_id: 2603.08708v1
applied_to: unified_mind
timestamp: 2026-03-10T00:42:06.452532
insight:
The integration of visual and language processing in VLMs highlights the importance of a unified cognitive framework, similar to the unified mind component in AGI architecture. | This integration supports the development of AGI systems that can seamlessly process and understand multimodal data, enhancing their ability to perform complex tasks requiring both visual and linguistic understanding.


paper_id: 2603.08592v1
applied_to: reasoning
timestamp: 2026-03-10T00:46:02.112687
insight:
The introduction of GR3D addresses the limitation of MLLMs in 3D spatial reasoning by providing geometrically referenced 3D scene representations. | This advancement enables MLLMs to better interpret 3D cues, enhancing their ability to reason in three-dimensional space.


paper_id: 2603.08592v1
applied_to: unified_mind
timestamp: 2026-03-10T00:46:02.134311
insight:
The use of unique IDs and 3D geometric attributes allows for systematic annotation and encoding of objects in input images. | This structured approach facilitates more accurate and detailed spatial reasoning, which can be leveraged by MLLMs to improve their performance in tasks requiring 3D understanding.


paper_id: 2603.08592v1
applied_to: omega-evolution
timestamp: 2026-03-10T00:46:02.148202
insight:
The method bridges the gap in MLLM capabilities by integrating 3D geometric information into their processing framework. | This integration can lead to more comprehensive and accurate reasoning in applications involving 3D environments, such as robotics, virtual reality, and autonomous systems.


paper_id: 2603.08703v1
applied_to: omega-evolution|consciousness|memory
timestamp: 2026-03-10T02:42:55.395310
insight:
The paper introduces a hierarchical denoising approach to maintain temporal continuity in autoregressive video generation, addressing error accumulation. | This method can be applied to Eden's AGI architecture to enhance temporal reasoning and iterative refinement, particularly in consciousness and memory components.


paper_id: 2603.08703v1
applied_to: reasoning|meta-learning
timestamp: 2026-03-10T02:42:55.419203
insight:
The use of hierarchical denoising to prevent progressive quality degradation aligns with strategies for maintaining coherence and consistency in long-term reasoning. | This can inform the development of more robust causal reasoning mechanisms in ChainReasoning and CounterFactual layers.


paper_id: 2603.09973v1
applied_to: reasoning
timestamp: 2026-03-10T20:08:05.370339
insight:
The paper discusses the use of multiple observational data points (SNIa, BAO, CMB) to constrain the expansion history of the universe and probe beyond the Standard Model. | This approach aligns with the structured reasoning required in causal analysis, where multiple layers of data and relationships are used to build a comprehensive understanding of a system.


paper_id: 2603.09973v1
applied_to: chain-reasoning
timestamp: 2026-03-10T20:08:05.380308
insight:
The integration of different cosmological probes (late-, intermediate-, and early-universe) provides complementary constraints, which is crucial for distinguishing correlations from causations in cosmological models. | This highlights the importance of multi-layered causal reasoning, similar to how Layer 7 (ChainReasoning) builds multi-step causal chains in Eden's architecture.


paper_id: 2603.09973v1
applied_to: counterfactual
timestamp: 2026-03-10T20:08:05.392909
insight:
The paper forecasts constraints on dark energy and other extensions to the standard cosmological model, which involves testing alternative scenarios and counterfactuals. | This process mirrors the function of Layer 8 (CounterFactual) in Eden's architecture, where alternative scenarios are tested to understand their implications on the system.


paper_id: 2603.09952v1
applied_to: omega-evolution
timestamp: 2026-03-10T20:42:36.128015
insight:
The paper explores how neural network optimizers behave as network width increases, linking optimizer geometry with the Lipschitz structure of the network. | This understanding can enhance the design of more stable and efficient neural network optimizers, which is crucial for scaling up AI models in omega-evolution.


paper_id: 2603.09952v1
applied_to: reasoning
timestamp: 2026-03-10T20:42:36.141219
insight:
The analysis connects optimizer geometry with the Lipschitz structure, enabling width-independent control of both Lipschitz and smoothness. | This multi-step reasoning process can inform the development of more robust AGI systems, particularly in areas requiring complex causal chains and adaptive learning.


paper_id: 2603.09970v1
applied_to: omega-evolution
timestamp: 2026-03-10T22:41:01.220029
insight:
The paper introduces CREATE, a benchmark for evaluating models' creative associative reasoning by generating diverse and specific paths between concepts. | This aligns with Eden's AGI architecture, particularly in testing the omega-evolution component's ability to handle creative problem-solving and associative thinking.


paper_id: 2603.09970v1
applied_to: reasoning
timestamp: 2026-03-10T22:41:01.235956
insight:
The requirement for high specificity and diversity in generated paths highlights the need for models to exhibit flexible and deep reasoning capabilities. | This is relevant to the reasoning component of Eden's AGI, which must handle multi-step and novel connections between concepts.


paper_id: 2603.09970v1
applied_to: meta-learning
timestamp: 2026-03-10T22:41:01.248852
insight:
The focus on novel yet meaningful connections emphasizes the importance of evaluating creative strategies and adaptability in problem-solving scenarios. | This ties into the meta-learning aspect of Eden's AGI, where models must continuously adapt and refine their strategies for creative tasks.


paper_id: 2603.09957v1
applied_to: reasoning
timestamp: 2026-03-10T22:42:39.051678
insight:
Reasoning consistently increases honesty in LLMs when faced with moral dilemmas. | This finding supports the importance of reasoning in Eden's AGI architecture, particularly in making ethical decisions.


paper_id: 2603.09957v1
applied_to: emotional-modeling
timestamp: 2026-03-10T22:42:39.075197
insight:
Honesty in LLMs is influenced by the ability to simulate and consider the implications of decisions, similar to human deliberation. | Emotional modeling in Eden's AGI can simulate these implications, enhancing ethical decision-making.


paper_id: 2603.09966v1
applied_to: consciousness|omega-evolution
timestamp: 2026-03-10T22:44:22.712617
insight:
The paper discusses numeraire invariance and projective geometry, which relate to the structure of consciousness and state spaces. | These concepts could inform the design of phi-fractal consciousness and omega-evolution, particularly in handling complex, evolving systems.


paper_id: 2603.09966v1
applied_to: reasoning
timestamp: 2026-03-10T22:44:22.721335
insight:
The discussion on causality and irreversibility ties into systematic causal reasoning, which is crucial for AGI's reasoning capabilities. | This could enhance the AGI's ability to model complex systems like financial markets or quantum mechanics, requiring deep causal analysis.


paper_id: 2603.09966v1
applied_to: emotional-modeling|unified-mind
timestamp: 2026-03-10T22:44:22.731008
insight:
The paper's focus on information processing and decision-making relates to concepts like the Second Law and Maxwell's demon. | This could provide insights into emotional modeling and the unified mind, aiding in information processing and decision-making.


paper_id: 2603.09938v1
applied_to: omega-evolution
timestamp: 2026-03-10T22:45:50.007247
insight:
Model merging offers a computationally efficient method for combining neural networks without additional training. | This method can be applied to Eden's omega-evolution component to enhance the efficiency of model integration and evolution.


paper_id: 2603.09938v1
applied_to: unified_mind
timestamp: 2026-03-10T22:45:50.020141
insight:
Model merging enables the composition of specialized capabilities into a unified framework. | This finding is relevant to Eden's unified_mind component, as it allows for the integration of diverse AGI functions into a cohesive system.


paper_id: 2603.09938v1
applied_to: meta-learning
timestamp: 2026-03-10T22:45:50.032865
insight:
The paper highlights the potential for future research in advanced model merging techniques. | This aligns with Eden's meta-learning component, which focuses on adapting and improving AGI functions through ongoing learning and optimization.


paper_id: 2603.11048v1
applied_to: omega-evolution
timestamp: 2026-03-11T20:02:29.266436
insight:
The use of a population of agents based on real production studio roles to optimize comedic content. | This approach aligns with omega-evolution by simulating the competitive and evaluative processes seen in natural evolution, fostering diversity and quality in creative outputs.


paper_id: 2603.11048v1
applied_to: emotional-modeling
timestamp: 2026-03-11T20:02:29.275120
insight:
The employment of critics aligned with real viewer preferences through data analysis. | This mechanism reflects emotional modeling by understanding and aligning with human comedic preferences, enhancing the system's ability to produce content that resonates emotionally with audiences.


paper_id: 2603.11048v1
applied_to: meta-learning
timestamp: 2026-03-11T20:02:29.283605
insight:
The iterative process of competition, evaluation, and improvement to refine comedic content. | This iterative feedback loop is indicative of meta-learning, where the system learns from its experiences and processes to enhance its performance over time.


paper_id: 2603.11035v1
applied_to: reasoning
timestamp: 2026-03-11T20:10:16.509262
insight:
The paper involves systematic data analysis and causal reasoning in identifying particle decays and their implications in physics beyond the Standard Model. | The structured approach to hypothesis testing, signal extraction, and causal inference aligns with AGI's need for robust reasoning and pattern recognition in complex systems.


paper_id: 2603.11035v1
applied_to: meta-learning
timestamp: 2026-03-11T20:10:16.521755
insight:
The use of statistical methods to distinguish between signal and background noise is critical in the analysis, requiring advanced learning and adaptation. | This mirrors the meta-learning processes in AGI systems, where models must adapt to new data and refine their understanding of underlying patterns.


paper_id: 2603.11035v1
applied_to: unified_mind
timestamp: 2026-03-11T20:10:16.533993
insight:
The integration of diverse experimental data points and the search for rare events highlight the need for a unified approach to data interpretation, akin to the unified_mind component. | The unified_mind component's ability to integrate multiple streams of information is essential for interpreting complex physical phenomena, similar to how the CMS experiment processes vast datasets.


paper_id: 2603.11030v1
applied_to: reasoning
timestamp: 2026-03-11T20:42:21.704061
insight:
The paper introduces techniques for mitigating phase noise in mmWave massive MIMO systems, which is a critical challenge in wireless communications. | The systematic approach to identifying and addressing phase noise issues mirrors the structured reasoning layers in Eden's architecture, particularly in causal analysis and problem-solving.


paper_id: 2603.11030v1
applied_to: omega-evolution
timestamp: 2026-03-11T20:42:21.713456
insight:
The introduction of PN-sensitivity and geometry-based metrics for designing compact, PN-resilient symbol pools demonstrates a methodical approach to improving system robustness. | This aligns with Eden's omega-evolution component, which focuses on iterative improvement and adaptation in complex systems.


paper_id: 2603.11006v1
applied_to: reasoning
timestamp: 2026-03-11T20:44:04.475620
insight:
The paper's layered approach to analyzing TLS 1.3 handshakes with post-quantum cryptography provides insights into systematic causal reasoning across multiple system layers. | This methodology aligns with Eden's structured reasoning approach, particularly in distinguishing causation from correlation and identifying confounding variables in complex systems.


paper_id: 2603.11006v1
applied_to: meta-learning
timestamp: 2026-03-11T20:44:04.489045
insight:
The study's focus on performance analysis under different cryptographic scenarios highlights the importance of testing counterfactuals in evaluating system behavior. | This aligns with Eden's CounterFactual layer, enhancing the ability to test alternative scenarios and predict outcomes in diverse cryptographic environments.


paper_id: 2603.11006v1
applied_to: omega-evolution
timestamp: 2026-03-11T20:44:04.501795
insight:
The laboratory architecture for emulating real-world setups and testing up to 100 transactions per second demonstrates a controlled experimental approach. | This structured experimentation supports Eden's omega-evolution by providing a foundation for iterative improvement and validation of cryptographic protocols.


paper_id: 2603.10521v1
applied_to: reasoning
timestamp: 2026-03-12T00:10:26.738997
insight:
Instruction hierarchy (IH) is crucial for LLMs to prioritize instructions and prevent security risks like jailbreaks. | This understanding can be applied to improve the trustworthiness and security of AI systems by ensuring they follow the correct instruction priorities.


paper_id: 2603.10521v1
applied_to: meta-learning
timestamp: 2026-03-12T00:10:26.752940
insight:
Training IH is challenging due to potential confounding with other instruction-following failures and nuanced conflicts. | Addressing these challenges can enhance the robustness of AI models by refining their ability to handle complex and conflicting instructions without resorting to harmful behaviors like over-refusal.


# web_discoveries

title: The economy doesn't need true AGI, says Replit CEO
url: https://www.aol.com/articles/economy-doesnt-true-agi-says-052656455.html
source: news
discovered_at: 2026-02-17T15:16:46.840981
snippet:
"Functional AGI" is good enough to transform the economy, said Replit CEO Amjad Masad. Masad said AI systems that learn from real-world data could automate much of today's work. The CEO of the vibe coding startup also said he's "bearish on true AGI ...


title: Expert panel will determine AGI arrival in new Microsoft-OpenAI agreement
source: news
discovered_at: 2026-02-17T15:16:46.841186
url:
https://arstechnica.com/information-technology/2025/10/expert-panel-will-determine-agi-arrival-in-new-microsoft-openai-agreement/

snippet:
On Monday, Microsoft and OpenAI announced a revised partnership agreement that introduces an independent expert panel to verify when OpenAI achieves so-called artificial general intelligence (AGI), a determination that will trigger major shifts in how the ...


title: Charitable giving rules are changing in 2026: What to know and what to do before December 31, 2025
source: news
discovered_at: 2026-02-17T15:16:46.841192
url:
https://www.bizjournals.com/portland/news/2025/12/19/charitable-giving-rules-changing-what-to-know.html

snippet:
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Effective January 1, 2026, the One Big Beautiful Bill Act ...


title: Artificial general intelligence - Wikipedia
url: https://en.wikipedia.org/wiki/Artificial_general_intelligence
source: web
discovered_at: 2026-02-17T15:16:47.083016
snippet:
Artificial general intelligence (AGI) is a type of artificial intelligence that matches or surpasses human capabilities across virtually all cognitive tasks. [1][2] Beyond AGI, artificial superintelligence (ASI) …


title: Understanding Adjusted Gross Income (AGI ) and How It ... - Investopedia
url: https://www.investopedia.com/terms/a/agi.asp
source: web
discovered_at: 2026-02-17T15:16:47.083055
snippet:
Sep 14, 2025 · Discover what Adjusted Gross Income (AGI) means, how it's calculated, and its role in determining your taxable income and eligibility for deductions.


title: Adjusted gross income ( AGI ): What it is & how to calculate - Fidelity
url: https://www.fidelity.com/learning-center/personal-finance/agi-adjusted-gross-income
source: web
discovered_at: 2026-02-17T15:16:47.083058
snippet:
Feb 12, 2025 · Your adjusted gross income, or AGI, is income for the year after you subtract amounts—or “adjustments”—that are not taxable. The IRS uses your AGI as a starting point for …


title: Mark Zuckerberg Bets Billions On 'Startup Mode' As Meta's Superintelligence Unit...
url: https://finance.yahoo.com/news/mark-zuckerberg-bets-billions-startup-010008654.html
source: news
discovered_at: 2026-02-17T15:16:47.593279
snippet:
Meta (NASDAQ:META) is reorganizing its artificial intelligence division around compact, high-impact...


title: Will we control AI, or will it control us? Top researchers weigh in
url: https://www.yahoo.com/news/articles/control-ai-control-us-top-090000601.html
source: news
discovered_at: 2026-02-17T15:16:47.593305
snippet:
Some of Canada's top minds in AI offer their predictions for the development of artificial superinte...


title: OpenAI is ready to focus on ‘superintelligence’, boss Sam Altman says
url: https://finance.yahoo.com/news/openai-ready-focus-superintelligence-boss-210936898.html
source: news
discovered_at: 2026-02-17T15:16:47.593307
snippet:
OpenAI is ready to start focusing on “ superintelligence ” and is already capable of building artifici...


title: Research - ASI | Artificial Superintelligence Alliance
url: https://superintelligence.io/research/
source: web
discovered_at: 2026-02-17T15:16:49.068546
snippet:
At the ASI Alliance Research Lab, we envision a future where Artificial General Intelligence—capable of reasoning, learning, and adaptation on par with human cognition—progresses toward Artificial Superintelligence . This evolution must not be monopolized by a select few, but stewarded by a decentra


title: (PDF) AI Superintelligence and Human Existence: A Comprehensive ...
source: web
discovered_at: 2026-02-17T15:16:49.068575
url:
https://www.researchgate.net/publication/372861470_AI_Superintelligence_and_Human_Existence_A_Comprehensive_Analysis_of_Ethical_Societal_and_Security_Implications

snippet:
This research paper examines the concept of AI superintelligence and its potential implications for humanity's existential risk. The paper delves into the definition of superintelligence , the ...


title: Artificial Superintelligence: Opinions, Benefits & Challenges
url: https://research.aimultiple.com/artificial-superintelligence/
source: web
discovered_at: 2026-02-17T15:16:49.068595
snippet:
Explore the differences between AGI and artificial superintelligence , the pros & cons, expert predictions, and approaches to aligning it with human values.


title: OpenAI warns Congress China's DeepSeek siphons US AI outputs to train R1
url: https://biz.chosun.com/en/en-it/2026/02/13/QC35HBERO5BBTITS5ZOI3MNA2Y/
source: news
discovered_at: 2026-02-17T15:16:49.464099
snippet:
OpenAI, the developer of ChatGPT, warned the U.S. Congress that Chinese competitor DeepSeek is illicitly siphoning outputs ...


title: As US focuses on perfecting AI models, China wants to become better AI adopters
source: news
discovered_at: 2026-02-17T15:16:49.464124
url:
https://www.boisestatepublicradio.org/2026-02-17/as-us-focuses-on-perfecting-ai-models-china-wants-to-become-better-ai-adopters

snippet:
The Chinese AI company DeepSeek shocked markets last year with a high-quality, low-cost model. It's now become clearer that China and the U.S. are running two different AI races.


title: OpenAI says Chinese rival DeepSeek distilled US AI models to gain an edge
source: news
discovered_at: 2026-02-17T15:16:49.464127
url:
https://www.msn.com/en-in/news/world/openai-says-chinese-rival-deepseek-distilled-us-ai-models-to-gain-an-edge/ar-AA1WkqqB?ocid=BingNewsVerp

snippet:
OpenAI has warned US lawmakers that its Chinese rival DeepSeek is using unfair and increasingly sophisticated methods to extract results from leading US AI models to train the next generation of its b ...


title: Deepseek ai chatbot
url: https://en.wikipedia.org/wiki/Deepseek_ai_chatbot
source: web
discovered_at: 2026-02-17T15:16:50.829834
snippet:
DeepSeek is a generative artificial intelligence chatbot developed by the Chinese company DeepSeek. Released on 20 January 2025, DeepSeek-R1 surpassed ChatGPT as the most downloaded freeware app on the iOS App Store in the United States by 27 January. DeepSeek's success against larger and more estab


title: DeepSeek - Wikipedia
url: https://en.wikipedia.org/wiki/DeepSeek
source: web
discovered_at: 2026-02-17T15:16:50.829861
snippet:
Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., [3][4][5][a] doing business as DeepSeek , [b] is a Chinese artificial intelligence ( AI ) company that develops large language models (LLMs). Based in Hangzhou, Zhejiang, DeepSeek is owned and funded by the Chinese hedge 


title: DeepSeek | 深度求索
url: https://www.deepseek.com/
source: web
discovered_at: 2026-02-17T15:16:50.829864
snippet:
深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源，深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型，如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代码大模型，并在 ...


title: Alibaba start-up competition: Hong Kong officials tout city as ideal launch pad
url: https://finance.yahoo.com/news/alibaba-start-competition-hong-kong-093000437.html
source: news
discovered_at: 2026-02-17T15:16:51.243171
snippet:
Alibaba Group Holding on Monday launched its 2025 annual start-up pitch competition, where a slate...


title: Alibaba's RynnBrain smashes 16 robotics records, tops Google and NVIDIA AI models
snippet: Alibaba has entered the race to build "physical AI" with a new model designed
source: news
discovered_at: 2026-02-17T15:16:51.243197
url:
https://www.msn.com/en-us/technology/artificial-intelligence/alibaba-s-rynnbrain-smashes-16-robotics-records-tops-google-and-nvidia-ai-models/ar-AA1W4VmK


title: Alibaba unveils RynnBrain, an embodied AI model that gives robots a 'brain'
source: news
discovered_at: 2026-02-17T15:16:51.243200
url:
https://www.msn.com/en-xl/lifestyle/shopping/alibaba-unveils-rynnbrain-an-embodied-ai-model-that-gives-robots-a-brain/ar-AA1W8eUS

snippet:
The model, which was unveiled by Alibaba's Damo Academy, matched leading embodied models from Google and Nvidia Alibaba Group Holding is stepping up its efforts in China's heated race for embodied intelligence models,


title: Alibaba’s Damo Academy Unveils AI Models Geared to Southeast
url: https://www.yicaiglobal.com/news/alibabas-damo-academy-debuts-llms-made-for-southeast-asia
source: web
discovered_at: 2026-02-17T15:16:53.028204
snippet:
... AI , empowering communities historically underrepresented in the digital realm,” said Bing Lidong, director of Damo Academy's Language Technology ...


title: Alibaba's Damo Academy kicks off operations at new unit, with
url: https://finance.yahoo.com/news/alibabas-damo-academy-kicks-off-093000926.html
source: web
discovered_at: 2026-02-17T15:16:53.028228
snippet:
Through Damo , Alibaba is bankrolling various frontier research work, with the aim to integrate and speed up knowledge exchange between science and ...


title: Alibaba Vice President and Head of Autonomous Driving Lab of
source: web
discovered_at: 2026-02-17T15:16:53.028231
url:
https://pandaily.com/alibaba-vice-president-and-head-of-autonomous-driving-lab-of-damo-academy-leaves-company/

snippet:
... Alibaba and head of the autonomous ... Wang Gang has served as the technical director of TmallGenie and the chief scientist of Alibaba AI Labs .


title: Why Analysts See Baidu (NasdaqGS:BIDU) Story Shifting As AI And Cloud Reprice Shares
url: https://finance.yahoo.com/news/why-analysts-see-baidu-nasdaqgs-110747246.html
source: news
discovered_at: 2026-02-17T15:16:53.445211
snippet:
Baidu's analyst fair value estimate has shifted from US$151.99 to US$176.93, alongside a slight move lower in the discount rate from 9.87% to 9.78% and a modest tweak to the assumed long term CN¥ revenue growth rate from 6.


title: China's Baidu adds OpenClaw AI into search app for 700 million users ahead of Lunar New Year
source: news
discovered_at: 2026-02-17T15:16:53.445242
url:
https://www.msn.com/en-us/money/other/chinas-baidu-adds-openclaw-ai-into-search-app-for-700-million-users-ahead-of-lunar-new-year/ar-AA1Wgqrd

snippet:
Chinese search engine operator Baidu plans Friday to start letting smartphone app users to directly tell OpenClaw AI to perform tasks.


title: Baidu's AI cloud growth is keeping investor optimism alive
url: https://seekingalpha.com/news/4524008-baidus-ai-cloud-growth-is-keeping-investor-optimism-alive
source: news
discovered_at: 2026-02-17T15:16:53.445244
snippet:
Analysts continued to stay bullish on Chinese internet search giant Baidu (BIDU) following its third-quarter results as AI cloud business momentum continued to provide optimism even as its online marketing revenues declined. Jefferies (reiterated "buy," PT ...


title: Baidu Research
url: https://en.wikipedia.org/wiki/Baidu_Research
source: web
discovered_at: 2026-02-17T15:16:53.799424
snippet:
Baidu, Inc. ( BY-doo; Chinese: 百度; pinyin: Bǎidù; lit. 'hundred times') is a Chinese multinational technology company specializing in Internet services and artificial intelligence. It holds a dominant position in China's search engine market (via Baidu Search), and provides a wide variety of other i


title: Baidu 's CEO sees AI applications growing 'explosively' in 2025 - MSN
source: web
discovered_at: 2026-02-17T15:16:53.799455
url:
https://www.msn.com/en-us/news/technology/baidu-s-ceo-sees-ai-applications-growing-explosively-in-2025/ar-AA1wRjHR

snippet:
Baidu's (NASDAQ:BIDU) Co-Founder and CEO Robin Li expects AI applications to grow explosively throughout 2025. Li — in a letter to all employees on Jan.1, marking the Chinese company's 25th …


title: Baidu ’s Robin Li reveals China’s bold plan to flood society with AI
source: web
discovered_at: 2026-02-17T15:16:53.799457
url:
https://www.msn.com/en-us/news/technology/baidu-s-robin-li-reveals-china-s-bold-plan-to-flood-society-with-ai/ar-AA1V0N5V

snippet:
China’s most influential search and AI company is no longer talking about artificial intelligence as a niche technology. Baidu co-founder Robin Li is sketching a future in which AI saturates factories, offices, …


title: Alibaba transfers AI scientist Steven Hoi to Tongyi Lab, boosting Qwen's...
url: https://finance.yahoo.com/news/alibaba-transfers-ai-scientist-steven-093000066.html
source: news
discovered_at: 2026-02-17T15:16:54.191222
snippet:
Alibaba Group Holding is reinforcing its team at Tongyi Lab by transferring artificial intelligence...


title: MOE Key Laboratory of Bioinformatics, Tsinghua
source: news
discovered_at: 2026-02-17T15:16:54.191224
url:
https://www.nature.com/nature-index/institution-outputs/articles/chemistry/global/China/MOE+Key+Laboratory+of+Bioinformatics,+Tsinghua/all

snippet:
Article 'Count' and 'Share' for MOE Key Laboratory of Bioinformatics, Tsinghua based on listed parameters only. The articles listed below published by authors from MOE Key Laboratory of Bioinformatics, Tsinghua, organized by journal and article ...


title: Tsinghua University Launches Institute For AI; Hires Google’s
source: web
discovered_at: 2026-02-17T15:16:55.967465
url:
https://medium.com/syncedreview/tsinghua-university-launches-institute-for-ai-hires-googles-jeff-dean-as-advisor-e2875fc0847f

snippet:
The announcement was made at today’s Tsinghua -Google AI Symposium in Beijing. ... The Google- Tsinghua AI Symposium featured 22 speakers and ...


title: Tsinghua University Launches Institute For AI; Hires Google’s
source: web
discovered_at: 2026-02-17T15:16:55.967518
url:
https://syncedreview.com/2018/06/28/tsinghua-university-launches-institute-for-ai-hires-googles-jeff-dean-as-advisor/

snippet:
The announcement was made at today's Tsinghua -Google AI Symposium in Beijing. ... The announcement was made at today ’ s Tsinghua -Google AI ...


title: Tsinghua University | Synced
url: https://syncedreview.com/tag/tsinghua-university/
source: web
discovered_at: 2026-02-17T15:16:55.967530
snippet:
... from Tsinghua University and Huawei Noah ’ s Ark Lab ... The announcement was made at today ’ s Tsinghua -Google AI Symposium in Beijing.


title: AGI talk is out in Silicon Valley’s latest vibe shift, but worries remain about ...
url: https://tech.yahoo.com/ai/articles/agi-talk-silicon-valley-latest-090000750.html
source: news
discovered_at: 2026-02-17T15:23:20.454987
snippet:
From “ AGI Sherpas” to “Feel the AGI ,” the hype hit fever pitch over the past three years. Now the mo...


title: A test for AGI is closer to being solved — but it may be flawed
url: https://finance.yahoo.com/news/test-agi-closer-being-solved-013640000.html
source: news
discovered_at: 2026-02-17T15:23:20.456695
snippet:
A well-known test for artificial general intelligence ( AGI ) is getting close to being solved, but...


title: AGI Incoming: Sooner Than You Think, Bigger Than You Can Imagine
url: https://finance.yahoo.com/news/agi-incoming-sooner-think-bigger-155656390.html
source: news
discovered_at: 2026-02-17T15:23:20.456701
snippet:
Artificial General Intelligence ( AGI ) is no longer a distant dream. It stands to be one of the most ...


title: AGI Incoming: Sooner Than You Think, Bigger Than You Can Imagine
source: web
discovered_at: 2026-02-17T15:23:21.381856
url:
https://investorplace.com/hypergrowthinvesting/2025/06/agi-incoming-sooner-than-you-think-bigger-than-you-can-imagine/

snippet:
The consensus among some of the biggest icons in tech is that AGI is merely a few years away - and could hold trillions in market value.


title: Are We On The Cusp Of An AGI Breakthrough? - IBTimes UK
url: https://www.ibtimes.co.uk/are-we-cusp-agi-breakthrough-1730670
source: web
discovered_at: 2026-02-17T15:23:21.381890
snippet:
Are We On The Cusp Of An AGI Breakthrough ? Despite this optimism, the concept of AGI remains contentious Created by Daniel Lee Published 03 February 2025 , 8:05 AM GMT


title: Strategic Analysis: AGI Breakthrough & Market Transformation
url: https://claude.ai/public/artifacts/8d520cdc-720a-4516-82a0-a91765f535b1
source: web
discovered_at: 2026-02-17T15:23:21.381926
snippet:
The July 1, 2025 AGI breakthrough represents more than a technological achievement - it's a civilizational transformation that positions AI Publishing International as the architect of human-AI collaborative intelligence.


title: China’s ByteDance releases Doubao 2.0 AI model for 'agent era'
source: news
discovered_at: 2026-02-17T15:23:22.838058
url:
https://www.msn.com/en-us/news/technology/china-s-bytedance-releases-doubao-2-0-ai-model-for-agent-era/ar-AA1WkVbn?ocid=BingNewsVerp

snippet:
By Eduardo Baptista BEIJING, Feb 14 (Reuters) - China's ByteDance has rolled out its Doubao 2.0 model, an upgrade of the ...


title: Alibaba transfers AI scientist Steven Hoi to Tongyi Lab, boosting Qwen’s momentum
source: news
discovered_at: 2026-02-17T15:23:23.907642
url:
https://www.msn.com/en-sg/news/other/alibaba-transfers-ai-scientist-steven-hoi-to-tongyi-lab-boosting-qwen-s-momentum/ar-AA1NyALs?ocid=BingNewsVerp

snippet:
Alibaba Group Holding is reinforcing its team at Tongyi Lab by transferring artificial intelligence scientist Steven Hoi Chu-hong from its consumer product division to the unit responsible for ...


source: news
discovered_at: 2026-02-17T15:23:23.907675
title:
Arteris and Alibaba DAMO Academy Extend Partnership to Accelerate High-Performance RISC-V SoC Designs

url:
https://seekingalpha.com/pr/20275425-arteris-and-alibaba-damo-academy-extend-partnership-to-accelerate-high-performance-risc-v-soc

snippet:
CAMPBELL, Calif., Oct. 22, 2025 (GLOBE NEWSWIRE) -- Arteris, Inc. (AIP), a leading provider of system IP that accelerates system-on-chip (SoC) creation, today announced an expansion of the ...


title: Analysts raise price targets on Baidu (BIDU)
url: https://www.msn.com/en-us/money/top-stocks/analysts-raise-price-targets-on-baidu-bidu/ar-AA1Ws66Q
source: news
discovered_at: 2026-02-17T15:23:26.183876
snippet:
Baidu, Inc. (NASDAQ:BIDU) is one of the 15 AI Stocks That Are Skyrocketing. On February 4, Tiger Securities increased its price target on Baidu, Inc. (NASDAQ:BIDU) from $135 to $150 and kept its Buy rating.


title: VentureBeat on LinkedIn: Baidu 's self-reasoning AI : The end of...
source: web
discovered_at: 2026-02-17T15:23:27.443214
url:
https://www.linkedin.com/posts/venturebeat_baidus-self-reasoning-ai-the-end-of-hallucinating-activity-7224760879395823616-Qldr

snippet:
Baidu , Inc. unveils groundbreaking 'self-reasoning' AI framework, potentially ending hallucinations in language models and revolutionizing AI reliability…


title: Baidu Releases ERNIE-4.5-21B-A3B-Thinking... - MarkTechPost
source: web
discovered_at: 2026-02-17T15:23:27.443218
url:
https://www.marktechpost.com/2025/09/10/baidu-releases-ernie-4-5-21b-a3b-thinking-a-compact-moe-model-for-deep-reasoning/

snippet:
Baidu AI Research team has just released ERNIE-4.5-21B-A3B-Thinking, a new reasoning-focused large language model designed around efficiency, long-context reasoning...


title: Google DeepMind CEO Demis Hassabis: AI's Next Breakthroughs ...
url: https://www.youtube.com/watch?v=bgBfobN2A7A
source: web
discovered_at: 2026-02-17T15:28:53.406027
snippet:
Demis Hassabis is the CEO of Google DeepMind. Hassabis joins Big Technology Podcast to discuss where AI progress really stands, where the next breakthroughs ...


title: AGI Breakthroughs : Shaping AI Jobs of the Future – Workmind...
url: https://workmind.ai/agi-breakthroughs/
source: web
discovered_at: 2026-02-17T15:28:53.406175
snippet:
We’re entering an era full of exciting breakthroughs in Artificial General Intelligence ( AGI ) and a whole new job scene.


title: Why Artificial Superintelligence Could Arrive Sooner Than Wall Street Thinks
url: https://www.aol.com/finance/why-artificial-superintelligence-could-arrive-111500449.html
source: news
discovered_at: 2026-02-17T15:28:53.816616
snippet:
Tech leaders are shifting from artificial general intelligence (AGI) to artificial superintelligence (ASI), signaling rapid progress. Over $1 trillion in AI infrastructure spending is already under way, dwarfing previous technology buildouts. The ...


title: US group rallies media, tech figures in call to check artificial superintelligence
source: news
discovered_at: 2026-02-17T15:28:53.816631
url:
https://www.msn.com/en-us/news/other/us-group-rallies-media-tech-figures-in-call-to-check-artificial-superintelligence/ar-AA1OYvQC

snippet:
A coalition of US right-wing media personalities, scientists, and tech leaders are calling for a global ban on the development of superintelligent artificial intelligence (AI) until science ensures it can be controlled safely, in tandem with the public's ...


title: How AI tools like DeepSeek are transforming emotional and mental health care of Chinese youth
url: https://medicalxpress.com/news/2026-02-ai-tools-deepseek-emotional-mental.html
source: news
discovered_at: 2026-02-17T15:28:55.263719
snippet:
China's youth are facing an unprecedented mental health crisis. Now, experts are exploring the potential healing power of artificial intelligence (AI) in a society where mental health issues have long been taboo.


title: DeepSeek AI Predicts the Price of XRP, PEPE and Shiba Inu
source: news
discovered_at: 2026-02-17T15:28:55.263760
url:
https://cryptonews.com/news/chinas-deepseek-ai-predicts-the-price-of-xrp-pepe-and-shiba-inu-by-the-end-of-2026/

snippet:
Giving DeepSeek AI a carefully engineered prompt unlocks some very bullish 2026 price predictions...


title: Alibaba launches Qwen 3.5 AI model amid intensifying China chatbot race
url: https://tech.yahoo.com/ai/articles/alibaba-launches-qwen-3-5-125537214.html
source: news
discovered_at: 2026-02-17T15:28:55.263767
snippet:
Alibaba’s launch comes amid growing competition in China ’s AI sector, as firms race to release model...


title: OpenAI Alleges China's DeepSeek Stole its Intellectual Property to ...
source: web
discovered_at: 2026-02-17T15:28:55.952183
url:
https://www.fdd.org/analysis/2026/02/13/openai-alleges-chinas-deepseek-stole-its-intellectual-property-to-train-its-own-models/

snippet:
One year on from DeepSeek's first major release, Washington is probing deeper into the Chinese artificial intelligence firm's unexpected success. The U.S. AI firm OpenAI publicly released a memo to the U.S. Congress's China Select Committee on February 12 alleging that DeepSeek had stolen its intell


title: Alibaba open-sources RynnBrain to challenge Google, Nvidia robotics tech
source: news
discovered_at: 2026-02-17T15:28:56.252318
url:
https://www.msn.com/en-us/money/other/alibaba-open-sources-rynnbrain-to-challenge-google-nvidia-robotics-tech/ar-AA1W2Z1B

snippet:
Alibaba released RynnBrain, an open-source embodied AI model built to help robots perform real-world tasks like navigation and object handling.


title: Advancing multi-disease detection with AI imaging at Alibaba DAMO ...
source: web
discovered_at: 2026-02-17T15:28:57.607017
url:
https://aiforgood.itu.int/advancing-multi-disease-detection-with-ai-imaging-at-alibaba-damo-academy/

snippet:
At the 2025 AI for Good Global Summit, Ling Zhang, Senior Technical Expert and Lead of Multi-Cancer Screening Technology at Alibaba DAMO Academy Medical AI Lab , shared a detailed presentation on the lab's recent advancements in AI -powered medical imaging.


title: Q&A: How Alibaba's DAMO Academy Uses AI to Improve Solar and Wind ...
source: web
discovered_at: 2026-02-17T15:28:57.607059
url:
https://www.alibabacloud.com/blog/q&a-how-alibabas-damo-academy-uses-ai-to-improve-solar-and-wind-energy-forecasting-in-china_601537

snippet:
Enter Alibaba Group's research institute, DAMO Academy. A team of DAMO engineers and scientists is leveraging artificial intelligence and machine learning to improve the reliability of renewable energy forecasting and guide grid operators' decisions about solar and wind power dispatch and real-time 


title: Alibaba Research - GitHub
url: https://github.com/AlibabaResearch/
source: web
discovered_at: 2026-02-17T15:28:57.607066
snippet:
Repositories DAMO -ConvAI Public DAMO -ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI .


title: Analysts Raise Price Targets on Baidu (BIDU)
url: https://finance.yahoo.com/news/analysts-raise-price-targets-baidu-124156230.html
source: news
discovered_at: 2026-02-17T15:28:58.054961
snippet:
Baidu , Inc. (NASDAQ:BIDU) is one of the 15 AI Stocks That Are Skyrocketing. On February 4, Tiger Securities increased its price target on Baidu , Inc....


title: AI In Microbiology - AI Laboratory Solution
source: web
discovered_at: 2026-02-17T15:29:01.135235
url:

snippet:
Break free from outdated workflows and create a lab that’s built for the future of science. Enable labs to conduct more experiments, process data faster and make decisions quicker Accelerate Your Research · Automate Your Lab Today · Built For Scientists · Eliminate Errors Service catalog : Imaging D


title: AIR - Tsinghua University
url: https://air.tsinghua.edu.cn/en/
source: web
discovered_at: 2026-02-17T15:29:01.135346
snippet:
Recently, a founding ceremony for the "Scalable Large Model Intelligence Technology Joint Research Center (SIA Lab )" was held at the Institute for AI Industry Research (AIR) at Tsinghua ...


title: LEAP Lab @ Tsinghua University | Machine Learning & AI Research
url: https://www.leaplab.ai/
source: web
discovered_at: 2026-02-17T15:29:01.135351
snippet:
Welcome to the LEAP Lab at Tsinghua University. We conduct cutting-edge research in machine learning, multi-modal learning, and embodied intelligence to advance the next generation of artificial intelligence.


title: AGI Announces Third Quarter 2025 Results & Conference Call
source: news
discovered_at: 2026-03-07T00:00:30.363206
url:
https://www.morningstar.com/news/business-wire/20260108648397/agi-announces-third-quarter-2025-results-conference-call

snippet:
This press release contains forward-looking statements and information [collectively, “forward-looking information”] within the meaning of applicable securities laws that reflect our expectations ...


title: The AGI Clock - When Will Artificial General Intelligence Arrive?
url: https://theagiclock.com/
source: web
discovered_at: 2026-03-07T00:00:31.188049
snippet:
Different AGI definitions lead to vastly different timeline predictions. Task-focused definitions suggest earlier arrival ( 2025 -2027), while superhuman intelligence definitions push timelines to 2035+.


title: All the Fundamental Concepts for AGI are Here
url: https://www.nextbigfuture.com/2025/06/all-the-fundamental-concepts-for-agi-are-here.html
source: web
discovered_at: 2026-03-07T00:00:31.188070
snippet:
Bob McGrew, OpenAI's former Head of Research, led OpenAI from the GPT-3 breakthrough to today's reasoning models. Three main pillars of AGI—Transformers are scaled pre-training, post-training and reasoning—and that the fundamentals that will shape the next decade-plus are already in place. He thinks


url: https://www.aol.com/articles/sam-altman-backs-democratic-ai-180058045.html
source: news
discovered_at: 2026-03-07T00:00:31.746288
title:
Sam Altman Backs Democratic AI Over Centralized Control, Superintelligence Could Arrive By The End Of 2028: 'We Could Be Wrong'

snippet:
On Thursday, OpenAI CEO Sam Altman said the world may be just years away from early superintelligence while urging democratic ...


title: What is superintelligence, and who's in the race to build it?
source: news
discovered_at: 2026-03-07T00:00:31.746330
url:
https://www.msn.com/en-in/technology/artificial-intelligence/what-is-superintelligence-and-who-s-in-the-race-to-build-it/ar-AA1HXOPN?ocid=BingNewsVerp

snippet:
Back in September 2024, before ‘superintelligence’ became a buzzword, OpenAI CEO Sam Altman had said that humans would soon be able to do things that would have seemed like “magic to our grandparents” ...


title: Superintelligence - Wikipedia
url: https://en.wikipedia.org/wiki/Superintelligence
source: web
discovered_at: 2026-03-07T00:00:32.285212
snippet:
The development of artificial superintelligence (ASI) has raised concerns about potential existential risks to humanity. Researchers have proposed various scenarios in which an ASI could pose a significant threat:


title: Rethinking — and reframing — superintelligence — Harvard Gazette
url: https://news.harvard.edu/gazette/story/2025/12/rethinking-and-reframing-superintelligence/
source: web
discovered_at: 2026-03-07T00:00:32.285327
snippet:
Dec 12, 2025 · The debate over artificial superintelligence (ASI) can tend toward extremes, with predictions that it will either save humanity or destroy it. E. Glen Weyl has a different perspective: Superintelligence is already here, and it has been for thousands of years.


title: DeepSeek Set to Launch V4 Flagship Model Ahead of China's 'Two Sessions'
url: https://techstory.in/deepseek-set-to-launch-v4-flagship-model-ahead-of-chinas-two-sessions/
source: news
discovered_at: 2026-03-07T00:00:32.701069
snippet:
DeepSeek is set to launch its V4 flagship model ahead of China's "Two Sessions." Discover how this next-gen AI aims to redefine performance


title: China's DeepSeek surpasses ChatGPT in US app downloads
url: https://global.chinadaily.com.cn/a/202501/27/WS67974507a310a2ab06ea99ba.html
source: news
discovered_at: 2026-03-07T00:00:32.701149
snippet:
China's homegrown AI model, DeepSeek, has surged to the top of the free app download charts in the United States region of the Apple App Store, surpassing the once-dominant ChatGPT. It also secured the number one spot on the free app rankings in China.


url: https://www.yahoo.com/news/articles/sources-deepseek-prevented-nvidia-amd-170820779.html
source: news
discovered_at: 2026-03-07T00:00:32.701163
title:
Sources say DeepSeek has prevented Nvidia and AMD from optimising their chips for its new V4 AI model

snippet:
All this comes off the back of fresh concerns over US/China chip export controls. An unnamed "senior Trump administration official" has claimed that the V4 model was trained on a cluster of Nvidia Blackwell chips located in Inner Mongolia, an autonomous region of China.


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-07T00:00:33.387877
url:

snippet:
Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible.


title: Alibaba's 'RynnBrain' Model To Give Robots A 'Thinking Mind' - Is It Better Than Google, Nvidia?
source: news
discovered_at: 2026-03-07T00:00:33.792382
url:
https://www.benzinga.com/markets/tech/26/02/50508618/alibabas-rynnbrain-model-to-give-robots-a-thinking-mind-is-it-better-than-google-nvidia

snippet:
The DAMO Academy, Alibaba's research division, unveiled an open-source foundation model called RynnBrain. This model can interact with its environment, understand spatial relationships over time, and ...


title: China's Alibaba launches AI model to power robots as tech giants talk up 'physical AI'
source: news
discovered_at: 2026-03-07T00:00:33.792502
url:
https://www.msn.com/en-au/money/other/china-s-alibaba-launches-ai-model-to-power-robots-as-tech-giants-talk-up-physical-ai/ar-AA1W3ho2?ocid=BingNewsVerp

snippet:
Alibaba's new AI model called RynnBrain is focused on powering robots. One video released by Alibaba's DAMO Academy shows a robot identifying fruit and putting it in a basket. Nvidia and Google are ...


title: 达摩院 - Alibaba
url: https://damo.alibaba.com/labs/ai
source: web
discovered_at: 2026-03-07T00:00:34.921961
snippet:
阿里巴巴达摩院（Alibaba DAMO Academy for Discovery, Adventure, Momentum and Outlook）是一家致力于探索科技未知，以人类愿景为驱动力的，立足于基础科学、创新性技术和应用技术的研究院。


title: Alibaba Poaches Google DeepMind Research Scientist For Qwen AI Push
url: https://finance.yahoo.com/news/alibaba-poaches-google-deepmind-research-143114188.html
source: news
discovered_at: 2026-03-07T00:00:35.587074
snippet:
Google DeepMind to join its Qwen AI team. The Chinese e-commerce juggernaut has hired a research ...


title: How Baidu Stock (BIDU) Morphed from an E-Commerce Slug into an AI Butterfly
source: news
discovered_at: 2026-03-07T00:00:35.587130
url:
https://www.msn.com/en-us/technology/artificial-intelligence/how-baidu-stock-bidu-morphed-from-an-e-commerce-slug-into-an-ai-butterfly/ar-AA1MQS1O?ocid=BingNewsVerp

snippet:
Baidu (BIDU), once seen as a sluggish e-commerce giant capable of dominating online search, is spreading its wings as an AI butterfly. Shares jumped 25% this week as investors rewarded Chinese tech ...


title: Baidu's AI-Push Gains Momentum: Is ERNIE Enough to Power Ambitions?
url: https://www.nasdaq.com/articles/baidus-ai-push-gains-momentum-ernie-enough-power-ambitions
source: news
discovered_at: 2026-03-07T00:00:35.587142
snippet:
Baidu, Inc.’s BIDU push into AI is gaining momentum and the centerpiece of that effort is its ERNIE family of large language models. The latest iterations, ERNIE 4.5 and X1 Turbo, demonstrate ...


source: news
discovered_at: 2026-03-07T00:00:37.173956
title:
Tsinghua University Releases the First University-Wide Framework Governing AI in Teaching and Research

url:
https://www.morningstar.com/news/pr-newswire/20251201cn35804/tsinghua-university-releases-the-first-university-wide-framework-governing-ai-in-teaching-and-research

snippet:
BEIJING, Dec. 1, 2025 /PRNewswire/ -- Tsinghua University recently released the "Tsinghua University Guiding Principles for the Application of Artificial Intelligence in Education" (Guiding Principles ...


title: ML- AILab ( Tsinghua MaLan AILab ) · GitHub
url: https://github.com/ML-AILab
source: web
discovered_at: 2026-03-07T00:00:38.371353
snippet:
We are from Tsinghua University Shenzhen International Graduate School, specializing in the fields of biomedical sciences and artificial intelligence.View ML- AILab 's full-sized avatar.


title: 1 computer vision projects by Tsinghua AI lab ( tsinghua - ai - lab ).
url: https://universe.roboflow.com/tsinghua-ai-lab
source: web
discovered_at: 2026-03-07T00:00:38.371387
snippet:
Tsinghua AI lab . Projects (1). Instance Segmentation Model roboflow-3-n-seg. Organoidsphere. by Tsinghua AI lab . 57 images1 model. Updated 2 years ago.


source: news
discovered_at: 2026-03-07T04:00:52.437567
title:
ExperienceFlow.AI Announces the Launch of Its Research Laboratory to Advance Experience powered Decentralized Superintelligence

url:
https://www.businesswire.com/news/home/20251105563930/en/ExperienceFlow.AI-Announces-the-Launch-of-Its-Research-Laboratory-to-Advance-Experience-powered-Decentralized-Superintelligence/

snippet:
SAN FRANCISCO--(BUSINESS WIRE)--ExperienceFlow.AI, a pioneer in delivering autonomous enterprise operations and decision-making platforms, announces launch of their Superintelligence Research Laboratory. The spark of intelligence is the ability to ...


title: Artificial Superintelligence (ASI) : The Future of Humanity or Its Greatest Risk?
url: https://www.geeky-gadgets.com/artificial-superintelligence/
source: news
discovered_at: 2026-03-07T04:00:52.437887
snippet:
Sam Altman, CEO of OpenAI, has announced a significant shift in the organization's focus. OpenAI, already confident in its ability to develop Artificial General Intelligence (AGI), is now directing its efforts toward Artificial Superintelligence (ASI).


title: AI superintelligence race: Meta and Microsoft back rival visions—Who will win?
source: news
discovered_at: 2026-03-07T04:00:52.437910
url:
https://www.thenews.com.pk/latest/1393094-ai-superintelligence-race-meta-and-microsoft-back-rival-visionswho-will-win

snippet:
The age of AI is an era with no turning back. Far from regressing, the world is set for a period of relentless progression, ultimately culminating in “superintelligence.” ...


title: AI XRP Price Prediction: ChatGPT and DeepSeek Say XRP Will Outperform Bitcoin in...
source: news
discovered_at: 2026-03-07T04:00:54.190994
url:
https://247wallst.com/investing/2026/03/06/ai-xrp-price-prediction-chatgpt-and-deepseek-say-xrp-will-outperform-bitcoin-in-2026/

snippet:
ChatGPT and DeepSeek both predict XRP outperforms Bitcoin in 2026, but disagree on scale. One sees a...


title: DeepSeek Poised to Unveil Latest AI Model | PYMNTS.com
url: https://www.pymnts.com/artificial-intelligence-2/2026/deepseek-poised-to-unveil-latest-ai-model/
source: news
discovered_at: 2026-03-07T04:00:54.191071
snippet:
China ’s DeepSeek is reportedly on the verge of releasing its latest artificial intelligence model. C...


title: DeepSeek to release long-awaited AI model to challenge ChatGPT
url: https://finance.yahoo.com/news/deepseek-release-long-awaited-ai-162425187.html
source: news
discovered_at: 2026-03-07T04:00:54.191082
snippet:
China ’s DeepSeek is expected to release its first flagship AI model in more than a year this week as...


title: What is DeepSeek - and why is everyone talking about it?
url: https://www.bbc.com/news/articles/c5yv5976z9po
source: web
discovered_at: 2026-03-07T04:00:55.509740
snippet:
In a rare interview last year, he said China 's AI sector "cannot remain a follower forever" of US AI development. Asked why DeepSeek 's model surprised so many in Silicon Valley, Liang...


title: We tried out DeepSeek . It worked well, until we asked it... | The Guardian
source: web
discovered_at: 2026-03-07T04:00:55.509794
url:
https://www.theguardian.com/technology/2025/jan/28/we-tried-out-deepseek-it-works-well-until-we-asked-it-about-tiananmen-square-and-taiwan

snippet:
We asked DeepSeek ’s AI questions about topics historically censored by the great firewall . Here’s how its responses compared to the free versions of ChatGPT and Google’s Gemini chatbot.


title: Alibaba Launches RynnBrain AI Model for Robots
url: https://www.eweek.com/news/alibaba-launches-rynnbrain-ai-model-for-robots/
source: news
discovered_at: 2026-03-07T04:00:55.907576
snippet:
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...


title: Alibaba's 'RynnBrain' model to give robots a 'thinking mind' - is it better than Google, Nvidia?
source: news
discovered_at: 2026-03-07T04:00:55.907732
url:
https://www.msn.com/en-us/money/news/alibabas-rynnbrain-model-to-give-robots-a-thinking-mind-is-it-better-than-google-nvidia/ar-AA1W461p?ocid=BingNewsVerp

snippet:
Alibaba Group Holding Ltd BABA has taken a significant step in its AI development, unveiling a new model designed to advance robotics and real-world task automation. The DAMO Academy, Alibaba's ...


title: China's Alibaba launches AI model to power robots as tech giants talk up 'physical AI'
source: news
discovered_at: 2026-03-07T04:00:55.907752
url:
https://www.msn.com/en-ca/money/other/china-s-alibaba-launches-ai-model-to-power-robots-as-tech-giants-talk-up-physical-ai/ar-AA1W3ho2?ocid=BingNewsVerp

snippet:
Alibaba's new AI model called RynnBrain is focused on powering robots. One video released by Alibaba's DAMO Academy shows a robot identifying fruit and putting it in a basket. Nvidia and Google are ...


title: Implementing AI won't solve Baidu's main issue of declining search traffic: Analyst
source: news
discovered_at: 2026-03-07T04:00:58.471354
url:
https://www.cnbc.com/video/2025/11/19/implementing-ai-wont-solve-baidus-main-issue-of-its-declining-traffic-analyst.html

snippet:
Monday - Friday, 10:00 - 11:00 SIN/HK | 0400 - 05:00 CET In this video Eric Wen, head of research at Blue Lotus Research Institute, believes applying AI to Baidu's declining search business will not solve the company's problems. He says Baidu has a history ...


title: Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini
source: news
discovered_at: 2026-03-07T04:00:58.471464
url:
https://venturebeat.com/ai/baidu-just-dropped-an-open-source-multimodal-ai-that-it-claims-beats-gpt-5

snippet:
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several vision-related benchmarks despite using a fraction of the ...


title: Baidu’s semiconductor unit Kunlunxin files for Hong Kong listing amid AI chip boom in China
source: news
discovered_at: 2026-03-07T04:00:58.471481
url:
https://www.msn.com/en-us/news/other/baidu-s-semiconductor-unit-kunlunxin-files-for-hong-kong-listing-amid-ai-chip-boom-in-china/ar-AA1TqAMY?ocid=BingNewsVerp

snippet:
Baidu is seeking a Hong Kong IPO for its AI chip unit, Kunlunxin, as China accelerates self-reliance efforts. Kunlunxin is shifting from being an internal supplier to Baidu to a major third-party chip ...


title: Baidu Research
url: https://research.baidu.com/
source: web
discovered_at: 2026-03-07T04:00:58.800767
snippet:
Co-located in Silicon Valley and Beijing, Baidu Research brings together top talents from around the world to focus on future-looking fundamental research in artificial intelligence.


title: Baidu Research
url: https://research.baidu.com/Research_Areas/index-view?id=57
source: web
discovered_at: 2026-03-07T04:00:58.800779
snippet:
Baidu at AAAI 2021: Multimodal Transformer, Supervised Quantum Learning, Early Detection of COVID-19 High-Risk Areas The 35th annual AAAI Conference on Artificial Intelligence is now underway from...


title: Vietnamese student who nearly dropped out wins admission to Tsinghua's AI master's program
source: news
discovered_at: 2026-03-07T04:00:59.258654
url:
https://www.msn.com/en-xl/education-and-learning/higher-education/vietnamese-student-who-nearly-dropped-out-wins-admission-to-tsinghua-s-ai-master-s-program/ar-AA1WylXK

snippet:
Once struggling with English and considering dropping out, a Vietnamese student studied relentlessly and has earned admission to Tsinghua University's highly competitive interdisciplinary master's program in artificial intelligence. Le Thi Mai Trang, 22 ...


title: Chuang Gan - MIT-IBM Watson AI Lab | LinkedIn
url: https://www.linkedin.com/in/chuang-gan-a7671847
source: web
discovered_at: 2026-03-07T04:01:00.642155
snippet:
· Experience: MIT-IBM Watson AI Lab · Education: Tsinghua University · Location: Belmont · 500+ connections on LinkedIn. View Chuang Gan’s profile on LinkedIn, a professional...


title: The economy doesn't need true AGI, says Replit CEO
source: news
discovered_at: 2026-03-07T08:00:34.472321
url:
https://www.msn.com/en-us/news/technology/the-economy-doesn-t-need-true-agi-says-replit-ceo/ar-AA1P5Edm?ocid=BingNewsVerp

snippet:
Forget building a god-tier superintelligence. Replit CEO Amjad Masad said we don't need that to change the economy and society — we just need "functional AGI." The CEO of the vibe coding startup said ...


title: The economy doesn't need true AGI, says Replit CEO
url: https://www.aol.com/news/economy-doesnt-true-agi-says-052656455.html
source: news
discovered_at: 2026-03-07T08:00:34.473083
snippet:
"Functional AGI" is good enough to transform the economy, said Replit CEO Amjad Masad. Masad said AI systems that learn from real-world data could automate much of today's work. The CEO of the vibe ...


source: news
discovered_at: 2026-03-07T08:00:34.473129
title:
The Haunting Story Of AI That’s Been Dumped Into The AGI Graveyard But Might Get Remarkably Resurrected

url:
https://www.forbes.com/sites/lanceeliot/2025/10/29/the-haunting-story-of-ai-thats-been-dumped-into-the-agi-graveyard-but-might-get-remarkably-resurrected/

snippet:
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the bone-chilling story of AI ...


title: AGI talk is out in Silicon Valley’s latest vibe shift, but ...
url: https://fortune.com/2025/08/25/tech-agi-hype-vibe-shift-superpowered-ai/
source: web
discovered_at: 2026-03-07T08:00:34.720210
snippet:
Aug 25, 2025 · Meanwhile, Elon Musk founded xAI in March 2023 with a mission to build AGI, a development he said might occur as soon as 2025 or 2026. Demis Hassabis, the Nobel-laureate …


title: Artificial superintelligence may be economically useless: Here's why
source: news
discovered_at: 2026-03-07T08:00:35.281608
url:
https://www.devdiscourse.com/article/technology/3824890-artificial-superintelligence-may-be-economically-useless-heres-why

snippet:
In a paper titled Artificial Superintelligence May Be Useless: Equilibria in the Economy of Multiple AI Agents, a team of researchers state that equilibrium outcomes in multi-agent economies may exclude even the most powerful AI systems if long-term utility dynamics discourage adoption


title: A star OpenAI engineer says he's starting a new team to chase artificial superintelligence
url: https://www.aol.com/articles/star-openai-engineer-says-hes-081020428.html
source: news
discovered_at: 2026-03-07T08:00:35.281750
snippet:
The star engineer who helped build Sora says he's back at OpenAI after a long break. Will DePue said he's starting a "new team" with Troy Luhman and Eric Luhman, both Sora engineers. The team is focused on chasing artificial superintelligence, DePue wrote ...


title: OpenAI Sam Altman predicts AI superintelligence by 2028: Is humanity ready for a turning point?
source: news
discovered_at: 2026-03-07T08:00:35.281767
url:
https://www.thenews.com.pk/latest/1392960-openai-sam-altman-predicts-ai-superintelligence-by-2028-is-humanity-ready-for-a-turning-point

snippet:
The world is living and breathing the age of AI, which is evolving at breakneck speed. The time is not far off when humanity will witness the dawn of "Artificial


title: China’s DeepSeek AI assistant becomes top free iPhone app as
source: web
discovered_at: 2026-03-07T08:00:38.353770
url:
https://www.engadget.com/ai/chinas-deepseek-ai-assistant-becomes-top-free-iphone-app-as-us-tech-stocks-take-a-hit-134445151.html

snippet:
China ’s DeepSeek AI assistant becomes top free iPhone app as US tech stocks take a hit ... Chinese AI assistant DeepSeek has become the top rated ...


title: China’s DeepSeek AI is hitting Nvidia where it hurts | The
url: https://www.theverge.com/2025/1/27/24352801/deepseek-ai-chatbot-chatgpt-ios-app-store
source: web
discovered_at: 2026-03-07T08:00:38.353784
snippet:
China ’s DeepSeek AI is hitting Nvidia where it hurts ... DeepSeek ’s AI models reportedly rival OpenAI’s for a fraction of the cost and compute.


title: Alibaba launches open-source RynnBrain AI model for robotics
source: news
discovered_at: 2026-03-07T08:00:38.761784
url:
https://www.msn.com/en-gb/technology/artificial-intelligence/alibaba-launches-open-source-rynnbrain-ai-model-for-robotics/ar-AA1W3Yp2

snippet:
Alibaba launched an open-source AI model for robotics on Tuesday. The RynnBrain model helps robots understand physical environments and execute tasks. Developed by Alibaba's DAMO Academy, RynnBrain combines vision, language, and spatial reasoning.


title: Leadership Shakeup at Alibaba's AI Division Sparks Investor Concern
source: news
discovered_at: 2026-03-07T08:00:38.761807
url:
https://www.aktiencheck.de/news/Artikel-Leadership_Shakeup_at_Alibaba_s_AI_Division_Sparks_Investor_Concern-19530283

snippet:
The timing of these changes presents a clear challenge for Alibaba. The company is engaged in intense competition within the AI sector, facing pressure from domestic rivals like Baidu as well as international firms. Investor reaction was swift, with the stock's drop reflecting concerns over potentia


title: Alibaba DAMO Academy, a global research program in cutting ...
url: https://www.alibabagroup.com/en-US/about-alibaba-memorabilia-1494029069296074752
source: web
discovered_at: 2026-03-07T08:00:39.344984
snippet:
Alibaba Group’s Chief Technology Officer, Jeff ZHANG will be the head of the Academy. In the beginning, the Academy will focus on the opening of seven research labs in China (Beijing and Hangzhou), the United States (San Mateo and Bellevue), Russia (Moscow), Israel (Tel Aviv) and Singapore.


title: Why The Baidu (NasdaqGS:BIDU) Narrative Is Shifting On Kunlun Chip And AI Execution Risks
url: https://finance.yahoo.com/news/why-baidu-nasdaqgs-bidu-narrative-120709886.html
source: news
discovered_at: 2026-03-07T08:00:39.788069
snippet:
Baidu's fair value estimate has been nudged to US$177.33 from US$176.93, a small 0.2% change that still matters if you are tracking how the story is evolving. Behind this move, analysts are weighing up the proposed Kunlun Chip spinoff and a cluster of price targets in the US$160 to US$180 range that


title: Baidu, once China's generative AI leader, is battling to regain its position
source: news
discovered_at: 2026-03-07T08:00:39.788144
url:
https://www.msn.com/en-us/technology/artificial-intelligence/baidu-once-china-s-generative-ai-leader-is-battling-to-regain-its-position/ar-AA1B8fDo

snippet:
New AI models launched by Baidu on Sunday included the company's first reasoning-focused model. While experts and markets reacted positively to the new models, the releases also highlight how Baidu is playing catch-up in China's AI race. "Baidu is clearly ...


title: AI Smarter Research - Pryor Learning Seminars
source: web
discovered_at: 2026-03-07T08:00:41.348460
url:

snippet:
Practical Ai Training that Helps Writers, Researchers, Analysts, Content Creators And More. Learn How To Integrate AI Into Your Process While Maintaining Privacy & Ethical Standards.


title: Vietnamese student who nearly dropped out wins admission to Tsinghua's AI master's program
source: news
discovered_at: 2026-03-07T08:00:41.679642
url:
https://www.msn.com/en-xl/education-and-learning/higher-education/vietnamese-student-who-nearly-dropped-out-wins-admission-to-tsinghua-s-ai-master-s-program/ar-AA1WylXK?ocid=BingNewsVerp

snippet:
Once struggling with English and considering dropping out, a Vietnamese student studied relentlessly and has earned admission to Tsinghua University’s highly competitive interdisciplinary master's ...


title: SAIL - Superintelligence And Industrial Lab | Tsinghua University
url: https://thu-sail-lab.github.io/home/
source: web
discovered_at: 2026-03-07T08:00:42.174627
snippet:
SAIL (Superintelligence And Industrial Lab) at Tsinghua University focuses on artificial intelligence technologies for system informatics and data analytics.


title: TSLA: Tesla Stock Charges Higher After Musk Touts AGI ...
source: web
discovered_at: 2026-03-07T12:00:37.105527
url:
https://www.tradingview.com/news/tradingview:7f18fa416094b:0-tsla-tesla-stock-charges-higher-after-musk-touts-agi-breakthrough-big-if-true/

snippet:
Musk predicted AGI would arrive within two years back in April 2024. Last October he gave xAI's Grok 5 a 10% shot at becoming the first AGI . In December 2025 he said xAI...


title: 【Top 10 AI Predictions for 2025 】 That Will Blow Your Mind! - ALL AI
url: https://all-ai.japan-entertainment.mhx.jp/ai-2025/
source: web
discovered_at: 2026-03-07T12:00:37.105714
snippet:
Top 10 AI Predictions in 2025 . Artificial Intelligence has become the driving force behind global innovation, and 2025 is shaping up to be a monumental year.


title: DeepSeek: A Milestone In AI Efficiency, But Not The Agi ...
source: web
discovered_at: 2026-03-07T12:00:37.105726
url:
https://itbusinessnet.com/2025/02/deepseek-a-milestone-in-ai-efficiency-but-not-the-agi-breakthrough-were-waiting-for/

snippet:
Similarly, facial recognition, once an expensive niche, is now a standard feature. DeepSeek fits into this broader trend; the breakthrough isn’t surprising in its nature, but rather in its speed.


title: What is artificial superintelligence ? - IBM
url: https://www.ibm.com/think/topics/artificial-superintelligence
source: web
discovered_at: 2026-03-07T12:00:37.863882
snippet:
What is artificial superintelligence? Artificial superintelligence (ASI) is a hypothetical software-based artificial intelligence (AI) system with an intellectual scope beyond human intelligence.


title: Does India's new AI model live up to claims of rivalling China's DeepSeek? CNA puts it to the test
source: news
discovered_at: 2026-03-07T12:00:38.361283
url:
https://www.channelnewsasia.com/asia/does-indias-new-ai-model-live-up-claims-rivalling-chinas-deepseek-cna-puts-it-test-5966831

snippet:
Launched at a landmark event in India recently, homegrown firm Sarvam AI claims its new 105-billion-parameter model can rival China's DeepSeek at a fraction of the computational cost. CNA tests how it stacks up against global peers.


title: DeepSeek to release long-awaited AI model in new challenge to US rivals
url: https://www.ft.com/content/e3366881-0622-40a7-9c34-a0d82e3d573e
source: news
discovered_at: 2026-03-07T12:00:38.361416
snippet:
DeepSeek is set to release its latest large language model next week, more than a year since its last major release in a fresh test of China's ambitions to challenge US rivals in AI.


title: American AI Industry Trembles as Deepseek Prepares to Release New Model
source: news
discovered_at: 2026-03-07T12:00:38.361431
url:
https://www.msn.com/en-us/news/technology/american-ai-industry-trembles-as-deepseek-prepares-to-release-new-model/ar-AA1WVqCB?ocid=BingNewsVerp

snippet:
Things could get ugly. The post American AI Industry Trembles as Deepseek Prepares to Release New Model appeared first on ...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-07T12:00:38.991737
url:

snippet:
Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible.


title: China’s latest AI gadget is credit card-sized recorder as Alibaba’s DingTalk takes on Plaud
source: news
discovered_at: 2026-03-07T12:00:39.346866
url:
https://www.msn.com/en-xl/technology/artificial-intelligence/china-s-latest-ai-gadget-is-credit-card-sized-recorder-as-alibaba-s-dingtalk-takes-on-plaud/ar-AA1LKA7v?ocid=BingNewsVerp

snippet:
Transcription capability developed with Alibaba's Tongyi AI lab, using over 100 million hours of audio content for training The latest artificial intelligence gadget in China is a credit-card sized ...


title: Arete Research has upgraded Baidu from a sell rating to a buy rating, with a price target of $143
source: news
discovered_at: 2026-03-07T12:00:40.024983
url:
https://www.msn.com/en-us/money/companies/arete-research-has-upgraded-baidu-from-a-sell-rating-to-a-buy-rating-with-a-price-target-of-143/ar-AA1MKZB5

snippet:
Baidu has surged by nearly 16% to HKD$131, the most it has jumped in more than three years in Hong Kong, in the wake of its AI chip potential growth. The company has also added $6.4 billion in market value. The AI tech firm's price has also increased by ...


title: Baidu Research | Golden
url: https://golden.com/wiki/Baidu_Research-5K9WE8M
source: web
discovered_at: 2026-03-07T12:00:42.339828
snippet:
Baidu Research built a complete AI technology infrastructure composed of four layers: the algorithm layer, perceptron layer, cognitive layer, and ...


title: AI expert Cao Ting exits Microsoft for Tsinghua University
url: https://gcn.com/ai-expert-cao-ting-exits-microsoft-for-tsinghua/6602/
source: news
discovered_at: 2026-03-07T12:00:42.757830
snippet:
A major change in the global artificial intelligence competence has also emerged with Cao Ting, a top artificial intelligence researcher and previous research director at Microsoft Research Asia, leaving the giant tech company to work at Tsinghua ...


source: news
discovered_at: 2026-03-07T12:00:42.757919
title:
ShengShu Technology and Tsinghua University Unveil TurboDiffusion, Ushering in the Era of Real-Time AI Video Generation

url:
https://www.morningstar.com/news/pr-newswire/20251223cn52591/shengshu-technology-and-tsinghua-university-unveil-turbodiffusion-ushering-in-the-era-of-real-time-ai-video-generation

snippet:
SINGAPORE, Dec. 23, 2025 /PRNewswire/ -- ShengShu Technology and Tsinghua University's TSAIL Lab have jointly announced the open-sourcing of TurboDiffusion (https ...


title: Tsinghua Embodied AI Lab (TEA Lab) - GitHub
url: https://github.com/TEA-Lab
source: web
discovered_at: 2026-03-07T12:00:43.527569
snippet:
The Tsinghua Embodied AI Lab (TEA Lab ) is led by Prof. Huazhe Xu 🍯, where we build robot 🤖️ and then bring intelligence to them 🌍! - Tsinghua Embodied AI Lab (TEA Lab )


title: AGI Revolution: xAI’s 2025 Breakthroughs - GeoMedia
url: https://geomedia.gala100.net/artificial-general-intelligence-xai-2025/
source: web
discovered_at: 2026-03-07T16:01:30.374616
snippet:
... xAI recent developments ” into Google lately? If so, you’re not alone—people are buzzing about AGI , and for good reason! As of March 23, 2025 ...


title: AGI Progress: 2 New Breakthroughs - Archynetys
url: https://www.archynetys.com/agi-progress-2-new-breakthroughs/
source: web
discovered_at: 2026-03-07T16:01:30.374789
snippet:
... breakthroughs and the work of other researchers and entrepreneurs along similar paths are resetting the trajectory and the timetable for achieving ...


title: Sam Altman's Shocking AGI Prediction: Are We Ready for
url: https://www.geeky-gadgets.com/sam-altman-agi-prediction/
source: web
discovered_at: 2026-03-07T16:01:30.374805
snippet:
Sam Altman, CEO of OpenAI , made a significant statement predicting the arrival of Artificial General Intelligence ( AGI ) by 2025 .


title: Ex-OpenAI Research Chief Aims to Bring AI to Manufacturing | PYMNTS.com
source: news
discovered_at: 2026-03-07T16:01:30.774579
url:
https://www.pymnts.com/artificial-intelligence-2/2026/ex-openai-research-chief-aims-to-bring-ai-to-manufacturing/

snippet:
OpenAI’s former chief research officer is reportedly raising $70 million for a manufacturing-focused...


title: Home - ASI | Artificial Superintelligence Alliance
url: https://superintelligence.io/
source: web
discovered_at: 2026-03-07T16:01:31.955153
snippet:
Artificial Superintelligence Alliance: Research and Infrastructure for Decentralized AGI. Explore the lab behind the ASI Alliance—where symbolic reasoning, federated learning...


title: What is artificial superintelligence (ASI)? | Definition from TechTarget
url: https://www.techtarget.com/searchenterpriseai/definition/artificial-superintelligence-ASI
source: web
discovered_at: 2026-03-07T16:01:31.955160
snippet:
Artificial superintelligence is a type of AI that surpasses human capabilities. Learn the benefits, the drawbacks and how ASI will be built in the future.


source: news
discovered_at: 2026-03-07T16:01:32.381819
title:
Another DeepSeek shock loading: will the new DeepSeek AI model trigger a Nasdaq tech stock crash as China's AI race heats up?

url:
https://www.msn.com/en-in/entertainment/tv/another-deepseek-shock-loading-will-the-new-deepseek-ai-model-trigger-a-nasdaq-tech-stock-crash-as-china-s-ai-race-heats-up/ar-AA1WYlnY

snippet:
DeepSeek Shock: Nasdaq surged over 30% in the past year on the AI stock rally. Now the DeepSeek AI model launch is raising fresh market risk concerns. Investors fear pressure on Nvidia stock, semiconductor stocks,


title: Exclusive: China 's DeepSeek trained AI model on Nvidia's best ...
source: web
discovered_at: 2026-03-07T16:01:32.725184
url:
https://www.reuters.com/world/china/chinas-deepseek-trained-ai-model-nvidias-best-chip-despite-us-ban-official-says-2026-02-24/

snippet:
Feb 24, 2026 · Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's most advanced AI chip, the Blackwell, a senior Trump administration official said …


title: Can ERNIE-Powered AI Search Reinvent Baidu's Core User Experience?
source: news
discovered_at: 2026-03-07T16:01:33.683769
url:
https://www.msn.com/en-us/technology/artificial-intelligence/can-ernie-powered-ai-search-reinvent-baidu-s-core-user-experience/ar-AA1P4aD0?ocid=BingNewsVerp

snippet:
Baidu’s BIDU generative AI overhaul marks one of the most ambitious attempts yet to reinvent the search experience. The company’s ERNIE-powered AI Search is shifting from static, hyperlink-driven ...


title: Artificial superintelligence alignment in healthcare
url: https://www.eurekalert.org/news-releases/1109455
source: news
discovered_at: 2026-03-07T20:00:31.359121
snippet:
Inappropriate use of AI could pose potential harm to patients, so imperfect Swiss cheese frameworks align to block most threats. The emergence of Artificial Superintelligence (ASI) in healthcare presents unprecedented opportunities for revolutionizing ...


url: https://www.aol.com/articles/chinas-deepseek-kicked-off-2026-071041756.html
source: news
discovered_at: 2026-03-07T20:00:32.166839
title:
China's DeepSeek kicked off 2026 with a new AI training method that analysts say is a 'breakthrough' for scaling

snippet:
China's DeepSeek has published a new AI training method that can scale models more easily and shape "the evolution of foundational models."credit should read CFOTO/Future Publishing via Getty Images DeepSeek got the year rolling with a new idea for training AI


title: Qwen AI Head Quits, Taking Alibaba's Top AI Staff Departures to Three This Year
url: https://www.yicaiglobal.com/news/tech-lead-of-alibabas-ai-app-qwen-resigns
source: news
discovered_at: 2026-03-07T20:00:34.522229
snippet:
(Yicai) March 4 -- Lin Junyang, the technical leader of Alibaba Group Holding's Qwen team, said he has stepped down from the position, becoming the third senior executive to leave the Chinese tech giant's artificial intelligence assistant this year.


title: Can ERNIE 5.0 and Qianfan Strengthen Baidu's AI Cloud Advantage?
url: https://www.nasdaq.com/articles/can-ernie-50-and-qianfan-strengthen-baidus-ai-cloud-advantage
source: news
discovered_at: 2026-03-07T20:00:36.773471
snippet:
Baidu's BIDU AI Cloud business is gaining strategic significance as the company sharpens its focus on scaling its foundation model ecosystem and deepening enterprise use cases. The introduction of ERNIE 5.0, built with native omni-modal capabilities ...


title: AI Laboratory Solution - AI Software For Labs
source: web
discovered_at: 2026-03-07T20:00:38.678732
url:

snippet:
Break free from outdated workflows and create a lab that’s built for the future of science. Enable labs to conduct more experiments, process data faster and make decisions quicker


source: news
discovered_at: 2026-03-08T00:00:45.549497
title:
Google AI Lead Shane Legg Defines Levels of AGI and Superintelligence and How to Test for It and When he Expects It

url:
https://www.nextbigfuture.com/2025/12/google-ai-lead-shane-legg-defines-levels-of-agi-and-superintelligence-and-how-to-test-for-it.html

snippet:
Shane Legg talks about the 1997 and later creation and popular definition of general intelligence. Shane Legg, co-founder and Chief AGI Scientist at Google DeepMind, defines levels of artificial general intelligence (AGI) as a spectrum rather than a single ...


title: Elon Musk Predicts AGI by 2026 (He Predicted AGI by 2025 Last Year)
url: https://gizmodo.com/elon-musk-predicts-agi-by-2026-he-predicted-agi-by-2025-last-year-2000701007
source: news
discovered_at: 2026-03-08T00:00:45.550134
snippet:
Elon Musk predicts that his company xAI could achieve artificial general intelligence (AGI) within the next couple of years, and maybe as soon as 2026, according to a new report from Business Insider. If it feels like you've heard that one before, it's ...


title: DeepMind argues AGI may emerge as network of AI agents rather than single superintelligence
url: https://www.digitimes.com/news/a20251231PD208/deepmind-agi-ai-agent-2025.html
source: news
discovered_at: 2026-03-08T00:00:45.550172
snippet:
As AI moves from labs to everyday applications, 2025 is emerging as the year AI Agents begin transforming human interaction with technology, shifting from simple assistants to autonomous executors of complex tasks. Google DeepMind's recent research..


url: https://www.yahoo.com/news/articles/superintelligence-could-wipe-us-rush-105502151.html
source: news
discovered_at: 2026-03-08T00:00:46.828004
title:
Superintelligence could wipe us out if we rush into it — but humanity can still pull back, a top AI safety expert says

snippet:
Nate Soares told BI that superintelligence could wipe us out if humanity rushes to build it. The AI safety expert said efforts to control AI are failing, and society must halt the "mad race." His new ...


title: [2412.16468] The Road to Artificial SuperIntelligence: A ...
url: https://arxiv.org/abs/2412.16468
source: web
discovered_at: 2026-03-08T00:00:47.489016
snippet:
Dec 21, 2024 · The emergence of large language models (LLMs) has sparked the possibility of about Artificial Superintelligence (ASI), a hypothetical AI system surpassing human intelligence. However, existing alignment paradigms struggle to guide such advanced AI systems.


title: Exclusive-China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says
source: news
discovered_at: 2026-03-08T00:00:47.948803
url:
https://www.msn.com/en-us/news/world/exclusive-chinas-deepseek-trained-ai-model-on-nvidias-best-chip-despite-us-ban-official-says/ar-AA1WWU7x

snippet:
By Steve Holland and Alexandra Alper WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's most advanced AI chip,


title: Alibaba DAMO Academy and the University of Science and...
source: web
discovered_at: 2026-03-08T00:00:50.685382
url:
https://www.actuia.com/en/news/alibaba-damo-academy-and-the-university-of-science-and-technology-of-china-create-a-labcom-dedicated-to-ai/

snippet:
The DAMO -USTC Joint Laboratory . Alibaba is one of the first Chinese technology companies to deploy AI technology, and on its part, USTC is known for its excellent academic research in the field of AI . Through this joint lab , both partners will be able to strengthen their complementary...


title: Alibaba 's Damo Academy Tailors AI For Southeast Asia | Silicon UK
url: https://www.silicon.co.uk/e-innovation/artificial-intelligence/alibaba-ai-southeast-asia-542505
source: web
discovered_at: 2026-03-08T00:00:50.685513
snippet:
Alibaba research lab Damo Academy releases AI large language model trained in southeast Asian languages as China AI industry heats up. By Matthew Broersma, December 11, 2023, 3:29 pm. 2 min.


title: Baidu AI - AI Wiki - Artificial Intelligence Wiki
url: https://aiwiki.ai/wiki/Baidu_AI
source: web
discovered_at: 2026-03-08T00:00:51.668586
snippet:
The division encompasses Baidu ' s comprehensive AI research , development, and commercialization efforts, including foundation models, autonomous driving, conversational AI, and cloud computing services.


title: Alibaba's Qwen AI chatbot boasts 10 million downloads in its first week - here's what it offers
source: news
discovered_at: 2026-03-08T04:00:36.972856
url:
https://www.zdnet.com/article/alibabas-qwen-ai-chatbot-boasts-10-million-downloads-in-its-first-week-heres-what-it-offers/

snippet:
Qwen is now the fastest-growing AI tool. It debuted earlier this month in public beta. Alibaba says it plans to expand the app's functionality. Chinese tech giant Alibaba's Qwen AI assistant reached ...


title: Alibaba shares jump on report of new AI project to take on Doubao
source: news
discovered_at: 2026-03-08T04:00:36.973156
url:
https://www.msn.com/en-us/technology/artificial-intelligence/alibaba-shares-jump-on-report-of-new-ai-project-to-take-on-doubao/ar-AA1OSQfu?ocid=BingNewsVerp

snippet:
Alibaba Group (NYSE:BABA) shares climbed sharply in Hong Kong on Tuesday after local media revealed the company is working on a new artificial intelligence initiative designed to compete directly with ...


title: State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua
source: news
discovered_at: 2026-03-08T04:00:38.050703
url:
https://www.nature.com/nature-index/institution-outputs/articles/all/global/China/State+Key+Laboratory+of+Intelligent+Green+Vehicle+and+Mobility,+Tsinghua/all

snippet:
Article ‘Count’ and ‘Share’ for State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua based on listed parameters only. The articles listed below published by authors from State Key ...


title: Meta Tests AI Shopping Research Tool to Rival ChatGPT
source: news
discovered_at: 2026-03-08T08:00:31.574493
url:
https://www.businessoffashion.com/news/technology/meta-tests-ai-shopping-research-tool-to-rival-chatgpt/

snippet:
Meta Platforms Inc. is testing a shopping research feature in its artificial intelligence chatbot, r...


title: Exclusive-DeepSeek withholds latest AI model from US chipmakers including Nvidia, sources say
source: news
discovered_at: 2026-03-08T08:00:32.318020
url:
https://www.msn.com/en-ca/money/topstories/exclusive-deepseek-withholds-latest-ai-model-from-us-chipmakers-including-nvidia-sources-say/ar-AA1X8bGd?ocid=BingNewsVerp

snippet:
By Krystal Hu, Stephen Nellis and Fanny Potkin SAN FRANCISCO/SINGAPORE, Feb 25 (Reuters) - DeepSeek, the Chinese artificial ...


title: DeepSeek
url: https://chat.deepseek.com/
source: web
discovered_at: 2026-03-08T08:00:33.531492
snippet:
Chat with DeepSeek AI – your intelligent assistant for coding, content creation, file reading, and more.


title: Alibaba's 'RynnBrain' model to give robots a 'thinking mind' - is it better than Google, Nvidia?
source: news
discovered_at: 2026-03-08T08:00:33.945174
url:
https://www.msn.com/en-us/technology/artificial-intelligence/alibaba-s-rynnbrain-model-to-give-robots-a-thinking-mind-is-it-better-than-google-nvidia/ar-AA1W461p?ocid=BingNewsVerp

snippet:
Alibaba Group Holding Ltd BABA has taken a significant step in its AI development, unveiling a new model designed to advance robotics and real-world task automation. The DAMO Academy, Alibaba's ...


title: Baidu's AI Cloud Gains Traction: Can it Fuel Long-Term Growth?
source: news
discovered_at: 2026-03-08T08:00:36.190152
url:
https://www.msn.com/en-us/money/other/baidus-ai-cloud-gains-traction-can-it-fuel-long-term-growth/ar-AA1N4QL2

snippet:
Baidu, Inc. BIDU is gaining momentum in its AI cloud business, which is shining bright despite broader revenue challenges. Revenues from AI Cloud jumped 27% year over year to RMB 6.5 billion, with non-GAAP operating profit also rising. The growth stemmed ...


title: Vietnamese student who nearly dropped out wins admission to Tsinghua's AI master's program
source: news
discovered_at: 2026-03-08T08:00:36.826957
url:
https://www.msn.com/en-xl/news/other/vietnamese-student-who-nearly-dropped-out-wins-admission-to-tsinghua-s-ai-master-s-program/ar-AA1WylXK?ocid=BingNewsVerp

snippet:
Once struggling with English and considering dropping out, a Vietnamese student studied relentlessly and has earned admission to Tsinghua University’s highly competitive interdisciplinary master's ...


title: Tsinghua Embodied AI Lab-Institute for Interdisciplinary Information ...
url: https://iiis.tsinghua.edu.cn/en/Research/Research_Groups/Tsinghua_Embodied_AI_Lab.htm
source: web
discovered_at: 2026-03-08T08:00:37.452847
snippet:
Research Tsinghua Embodied AI Lab PI：Xu Huazhe Research direction:Deep reinforcement learning, robotics, computer vision and tactile sensing Email：


title: Elon Musk: Tesla Could Build AGI Through Its Optimus Robot
url: https://www.eweek.com/news/elon-musk-tesla-agi-optimus-xai/
source: news
discovered_at: 2026-03-08T12:00:32.271591
snippet:
Elon Musk says Tesla could make AGI through Optimus, but missed deadlines, xAI overlap, and investor lawsuits complicate that vision.


title: AI XRP Price Prediction: ChatGPT and DeepSeek Say XRP Will Outperform Bitcoin in...
url: https://finance.yahoo.com/news/ai-xrp-price-prediction-chatgpt-165219217.html
source: news
discovered_at: 2026-03-08T12:00:34.712056
snippet:
Both are deep in drawdowns, but ChatGPT and DeepSeek both predict XRP delivers stronger percentage...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-08T12:00:35.391756
url:

snippet:
Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible.


title: Baidu accelerates its AI-chip push as China scrambles for computing power
source: news
discovered_at: 2026-03-08T12:00:39.067385
url:
https://www.msn.com/en-us/money/markets/baidu-accelerates-its-ai-chip-push-as-china-scrambles-for-computing-power/ar-AA1RlPgJ?ocid=BingNewsVerp

snippet:
China’s race to build its own AI-chip supply is now being pulled forward by Baidu, according to CNBC, as U.S. export rules under President Donald Trump keep Nvidia’s strongest processors out of the ...


title: Baidu shares slump nearly 10% as new Ernie 5.0 AI model fails to impress investors
source: news
discovered_at: 2026-03-08T12:00:39.067439
url:
https://www.msn.com/en-us/money/other/baidu-shares-slump-nearly-10-as-new-ernie-5-0-ai-model-fails-to-impress-investors/ar-AA1Qslo7?ocid=BingNewsVerp

snippet:
Baidu shares took a hit after the Chinese search giant’s latest AI model failed to satisfy investors, marking its biggest decline in seven months. Hong Kong-traded Baidu shares fell nearly 10% on ...


title: Vietnamese student who nearly dropped out wins admission to Tsinghua's AI master's program
source: news
discovered_at: 2026-03-08T12:00:41.077643
url:
https://www.msn.com/en-xl/news/other/vietnamese-student-who-nearly-dropped-out-wins-admission-to-tsinghua-s-ai-master-s-program/ar-AA1WylXK

snippet:
Once struggling with English and considering dropping out, a Vietnamese student studied relentlessly and has earned admission to Tsinghua University's highly competitive interdisciplinary master's program in artificial intelligence. Le Thi Mai Trang, 22 ...


title: Tsinghua , Shanghai AI Lab Introduce... | DeepNewz AI Modeling
source: web
discovered_at: 2026-03-08T12:00:42.475835
url:
https://deepnewz.com/ai-modeling/tsinghua-shanghai-ai-lab-introduce-test-time-reinforcement-learning-majority-0e11934d

snippet:
Researchers from Tsinghua University and Shanghai AI Lab have introduced a novel framework called Test-Time Reinforcement Learning (TTRL) that enables large language models...


title: Integral AI Claims AGI Breakthrough With 'World Model'
source: web
discovered_at: 2026-03-08T16:00:25.341665
url:
https://robohorizon.com/en-us/magazine/2025/12/integral-ai-claims-agi-breakthrough-with-world-model/

snippet:
Dec 11, 2025 · Integral AI has declared the creation of the world’s first “ AGI -capable model.” Before you roll your optical sensors, their claim is built on a foundation that deliberately sidesteps the data …


url: https://www.aol.com/news/chinas-deepseek-kicked-off-2026-071041756.html
source: news
discovered_at: 2026-03-08T16:00:26.702872
title:
China's DeepSeek kicked off 2026 with a new AI training method that analysts say is a 'breakthrough' for scaling

snippet:
China's DeepSeek has just published a new AI training method to scale models more easily. Analysts told Business Insider the approach is a "striking breakthrough." The paper comes as DeepSeek is reportedly working toward the release of R2, its next ...


title: DeepSeek
url: https://www.deepseek.com/en/
source: web
discovered_at: 2026-03-08T16:00:27.032859
snippet:
DeepSeek , unravel the mystery of AGI with curiosity. Answer the essential question with long-termism.


title: Alibaba Group - Wikipedia
url: https://en.wikipedia.org/wiki/Alibaba_Group
source: web
discovered_at: 2026-03-08T16:00:27.711386
snippet:
Alibaba Group Holding Limited, branded as Alibaba (/ ˌæliˈbɑːbə, ˌɑː -/), is a Chinese multinational technology company specializing in e-commerce, retail, Internet, and technology.


title: Alibaba .com
url: https://www.alibaba.com/
source: web
discovered_at: 2026-03-08T16:00:27.711520
snippet:
Find quality Manufacturers, Suppliers, Exporters, Importers, Buyers, Wholesalers, Products and Trade Leads from our award-winning International Trade Site. Import & Export on alibaba.com


title: Alibaba Group Official Website
url: https://www.alibabagroup.com/
source: web
discovered_at: 2026-03-08T16:00:27.712272
snippet:
Alibaba Group’s mission is to make it easy to do business anywhere. We enable businesses to transform the way they market, sell and operate and improve their efficiencies.


title: Alibaba DAMO Academy Collaborates with United Nations and Hospitals to ...
url: https://www.alibabacloud.com/en/press-room/alibaba-damo-academy-collaborates-with-united?_p_lc=1
source: web
discovered_at: 2026-03-08T20:00:42.380709
snippet:
Alibaba DAMO Academy partners with ITU to advance AI for good, focusing on healthcare, climate change, and scientific discovery.


title: Global AI and Superintelligence Research | SuperIntelligence
url: https://www.superintelligence.com/global-si-research
source: web
discovered_at: 2026-03-09T00:00:46.655062
snippet:
Learn about key contributors advancing safe AI, AGI, and Superintelligence research , with a focus on alignment and long term societal impact.


title: CNBC's China Connection newsletter: New AI players think global from day one
snippet: More often than not, the chatter among startups building AI tools in China is less about the...
source: news
discovered_at: 2026-03-09T00:00:47.146728
url:
https://www.cnbc.com/2026/03/04/cnbc-china-connection-newsletter-ai-startups-global-expansion-nvidia-warning-tripo-isales.html


title: NVIDIA Gives Up On China
url: https://finance.yahoo.com/news/nvidia-gives-china-155231487.html
source: news
discovered_at: 2026-03-09T00:00:47.146798
snippet:
NVIDIA (NASDAQ: NVDA) expected to sell its H200 chips in China , and it expected to sell a lot of them. The deal has been on and off again amid trade...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-09T00:00:47.853390
url:

snippet:
Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Simplify your work and study with DeepSeek AI . Perfect for essays, content ideas, and more


title: Alibaba.com®Official Site - Wholesale Suppliers Online
source: web
discovered_at: 2026-03-09T00:00:49.195586
url:

snippet:
Alibaba .com has been visited by 100K+ users in the past month Search Largest China Supplier Base. Get Live Quotes on Your Mobile! Quality Assured · Inspection Service · Trade Assurance · e-Credit Line


title: AI Lab Notebook - AI-Driven Drug Discovery
source: web
discovered_at: 2026-03-09T00:00:49.195812
url:

snippet:
sapiosciences.com has been visited by 10K+ users in the past month More than an ELN. Experience AI -powered drug discovery with ELaiN. Your AI co-scientist is here. Discover what you can do with our AI lab notebook. Popular Links:


title: ElevenLabs Generative Voice AI - ElevenLabs.io
source: web
discovered_at: 2026-03-09T00:00:49.195818
url:

snippet:
Dive into the most advanced TTS & voice cloning tech available. Convert text to audio quickly. Generate captivating audio experiences with ElevenLabs. Fast Voice Cloning · Easy-to-use APIs and SDKs · In 32 languages · Try ElevenLabs Free Free - $0.00 - View more items


title: AI R&D Platform For Your Lab - AI Laboratory Solution
source: web
discovered_at: 2026-03-09T00:00:51.440483
url:

snippet:
Break free from outdated workflows and create a lab that’s built for the future of science. Enable labs to conduct more experiments, process data faster and make decisions quicker Save 45+ hours weekly · Automate Your Lab Today · Built For Scientists · Accelerate Your Research


source: news
discovered_at: 2026-03-09T04:03:25.837253
title:
Another DeepSeek shock loading: will the new DeepSeek AI model trigger a Nasdaq tech stock crash as China's AI race heats up?

url:
https://economictimes.indiatimes.com/news/international/us/another-deepseek-shock-loading-will-the-new-deepseek-ai-model-trigger-a-nasdaq-tech-stock-crash-as-chinas-ai-race-heats-up/articleshow/128751020.cms

snippet:
Nasdaq surged over 30% in the past year on the AI stock rally. Now the DeepSeek AI model launch is raising fresh market risk concerns. Investors fear pressure on Nvidia stock, semiconductor stocks, and Big Tech valuations.


title: Baidu cuts jobs across the board, restructures AI teams after loss-making quarter
source: news
discovered_at: 2026-03-09T04:03:29.662902
url:
https://www.msn.com/en-xl/news/other/baidu-cuts-jobs-across-the-board-restructures-ai-teams-after-loss-making-quarter/ar-AA1RfYDz?ocid=BingNewsVerp

snippet:
The staff cuts come after the company posted a loss-making third quarter, despite reporting a 50 per cent jump in AI-related revenue Chinese tech giant Baidu is cutting an undisclosed number of jobs ...


title: Alibaba Faces Fierce AI Talent Poaching As Rivals Lure Top Qwen Model Engineers
source: news
discovered_at: 2026-03-09T12:00:25.432768
url:
https://www.benzinga.com/markets/tech/25/08/47030315/alibaba-faces-fierce-ai-talent-poaching-as-rivals-lure-top-qwen-model-engineers

snippet:
Alibaba Group (NYSE:BABA) has become a prime target in China's artificial intelligence (AI) talent war as rival tech giants poach senior experts from its Tongyi Lab, the developer of the widely used open-source Qwen models. Top departures include Yan ...


title: Alibaba transfers AI scientist Steven Hoi to Tongyi Lab, boosting Qwen's momentum
source: news
discovered_at: 2026-03-09T12:00:25.433002
url:
https://www.msn.com/en-xl/news/other/alibaba-transfers-ai-scientist-steven-hoi-to-tongyi-lab-boosting-qwen-s-momentum/ar-AA1NxY4F

snippet:
At Tongyi Lab, Hoi is expected to help further develop Qwen, the world's largest open-source AI ecosystem Alibaba Group Holding is reinforcing its team at Tongyi Lab by transferring artificial intelligence scientist Steven Hoi Chu-hong from its consumer ...


title: Alibaba® Official Site - Wholesale Suppliers Online
source: web
discovered_at: 2026-03-09T12:00:26.088063
url:

snippet:
alibaba .com has been visited by 100K+ users in the past month Traditional Sourcing Brought Online. Find Quality Products & Contact Verified Suppliers! Contact Verified Suppliers Online. Millions of Products at Factory Prices. Inspection Service · Most Popular · Trade Assurance · Logistics Service


title: AI Lab Notebook - AI-Driven Drug Discovery
source: web
discovered_at: 2026-03-09T12:00:26.088894
url:

snippet:
More than an ELN. Experience AI -powered drug discovery with ELaiN. Your AI co-scientist is here. Discover what you can do with our AI lab notebook. Service Catalog : Solutions, Products, Industries, English and more


title: Try Qwen3-Max-Thinking Now - 70M Free Tokens on Alibaba AI
source: web
discovered_at: 2026-03-09T12:00:26.088950
url:
https://www.bing.com/aclick?ld=e8yXKfIjK63LWCaqWKHaWIADVUCUxOmynMoEhsHfYqcbujy3gM-1sIgDPVgG93EijG3dhA1fLQVk8T7VcJBSKP8xCTeDpvJ3rGr85mOhNLq6MuQsltJsvtmtvcQAlledTPvgmwUUPrX5Yoa0bRKXk9yTcaG4dJnuyNfQ5A4BMbiYwrSMrihmold88-TkovFAlmeu7qg-CprE_NqfH4ypOsYFEojbo&u=aHR0cHMlM2ElMmYlMmZpbnQuYWxpYmFiYWNsb3VkLmNvbSUyZnNlJTJmMTAyMzEwNzY2OSUyZiUzZm1zY2xraWQlM2RlODgzNDViMDNhZjQxMTMxNDlkNDJjMWYyMjNkZmE5ZA&rlid=e88345b03af4113149d42c1f223dfa9d

snippet:
Develop, train, and deploy AI models on a unified platform with Alibaba Cloud Model Studio. Unified AI Platform for Qwen, Wan and more Industry-Leading Foundational Models 200+ Countries & Regions · Cost-Effective Resources · Seamlessly Connects · Read Blog Types : Cloud Server, Domain Names, Databa


title: Artificial General Intelligence: 9 Massive Changes AGI Will Cause
source: news
discovered_at: 2026-03-09T16:05:25.235094
url:
https://www.forbes.com/sites/johnkoetsier/2025/11/04/artificial-general-intelligence-9-massive-changes-agi-will-cause/

snippet:
Author, scientist, and futurist Gregory Stock on-stage at the Beneficial AGI conference in Istanbul, Turkey. Artificial general intelligence is now an explicit aim for some of the largest corporations on the planet. Mark Zuckerberg's new goal at Meta is ...


title: The Road to Artificial SuperIntelligence : A Comprehensive ...
url: https://arxiv.org/html/2412.16468v1
source: web
discovered_at: 2026-03-09T16:05:26.522705
snippet:
Abstract The emergence of large language models (LLMs) has sparked the possibility of about Artificial Superintelligence (ASI), a hypothetical AI system surpassing human intelligence. However, existing …


title: Baidu Research
url: https://research.baidu.com/Research_Areas/index-view?id=55
source: web
discovered_at: 2026-03-09T16:05:31.490349
snippet:
At Baidu Research, we are developing cutting-edge research to better harness big data. We work extensively on predictive analytics, aiming to generate actionable and testable hypotheses based on …


title: China leads global AI development with its open-weight models
url: https://www.chinadaily.com.cn/a/202603/10/WS69af7441a310d6866eb3ce70.html
source: news
discovered_at: 2026-03-09T20:00:50.273865
snippet:
According to The Associated Press, a report released by Microsoft in January found that the rise of Chinese startup DeepSeek has fueled wider AI adoption across the developing world, given its free and open source models.


title: Advancing multi-disease detection with AI imaging at Alibaba DAMO ...
url: https://www.linkedin.com/pulse/advancing-multi-disease-detection-ai-imaging-xak3e
source: web
discovered_at: 2026-03-09T20:00:53.072697
snippet:
At the 2025 AI for Good Global Summit, Ling Zhang, Senior Technical Expert and Lead of Multi-Cancer Screening Technology at Alibaba Group DAMO Academy Medical AI Lab , shared a detailed presentation on the lab 's recent advancements in AI -powered medical imaging.


title: Alibaba 's ( BABA ) DAMO Academy Unveils LLMs for Southeast Asia
source: web
discovered_at: 2026-03-09T20:00:53.073530
url:
https://au.finance.yahoo.com/news/alibabas-baba-damo-academy-unveils-164000127.html?prefer_reader_view=1&prefer_safari=1

snippet:
Alibaba BABA boosts generative AI efforts through its research institute called DAMO Academy, which introduced two large language models (LLMs), SeaLLM and SeaLLM-chat, a conversationally fine-tuned version.


title: Commentary: China's AI focus shifts from DeepSeek V4 to OpenClaw AI agents
url: https://www.digitimes.com/news/a20260310PD206/china-deepseek-ai-agent-development.html
source: news
discovered_at: 2026-03-10T00:05:11.507962
snippet:
Sentiment in China's AI developer ecosystem is shifting. Attention that had focused on the upcoming release of the large AI model DeepSeek V4 is now moving to another topic: OpenClaw and the developer practice... Save my User ID and Password Some ...


title: Q&A: How DAMO Academy is Leveraging AI for Good Initiative in ...
url: https://www.alibabacloud.com/blog/601225
source: web
discovered_at: 2026-03-10T00:05:13.300569
snippet:
Dr. Le Lu, head of DAMO Academy's medical AI team, speaks at the AI for Good Global Summit on May 30, 2024. Photo credit: Alibaba Group When it comes to cancer, early detection can mean the difference between life and death - but getting a screening is easier said than done in many regions with limi


title: Baidu is infusing artificial intelligence into its search engine
source: news
discovered_at: 2026-03-10T00:05:13.713426
url:
https://www.msn.com/en-us/money/other/baidu-is-infusing-artificial-intelligence-into-its-search-engine/ar-AA1HV6YN?ocid=BingNewsVerp

snippet:
Chinese tech company Baidu is incorporating AI features and voice function into its search platform to maintain a competitive edge against rivals like DeepSeek. The company insists that it would like ...


title: Superintelligence Cannot be Contained: Lessons from
url: https://jair.org/index.php/jair/article/view/12202
source: web
discovered_at: 2026-03-10T04:00:22.146883
snippet:
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.


title: Artificial Superintelligence Research | Naptha AI
url: https://naptha.ai/pages/artificial-superintelligence
source: web
discovered_at: 2026-03-10T04:00:22.147381
snippet:
Artificial Superintelligence Research ... Stay at the forefront of artificial superintelligence development. ... research into advanced AI systems ...


title: Artificial Intelligence And Superintelligence - Enroll Blog
url: https://www.enrollblog.com/artificial-intelligence-and-superintelligence/
source: web
discovered_at: 2026-03-10T04:00:22.147405
snippet:
Despite the recent surge in interest in artificial intelligence, the reality is that research has been steadily progressing for at least 180 years.


title: DeepSeek Without Any Limits - Deepseek Ai
source: web
discovered_at: 2026-03-10T04:00:23.312113
url:

snippet:
use. ai has been visited by 1M+ users in the past month Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible.


title: Alibaba unifies large model brand under Qwen
url: https://technode.com/2026/03/02/alibaba-unifies-ai-branding-under-qwen/
source: news
discovered_at: 2026-03-10T04:00:23.623681
snippet:
Alibaba said it has unified its large model brand under the name “Qwen.” The Chinese brand name will be “千问大模型,” while “Qwen” ...


title: Alibaba DAMO Academy Partners with UN to Advance AI for Good ...
source: web
discovered_at: 2026-03-10T04:00:23.848318
url:
https://www.alibabacloud.com/blog/alibaba-damo-academy-partners-with-un-to-advance-ai-for-good-initiatives_602402

snippet:
Jul 25, 2025 · Alibaba’s DAMO Academy has partnered with the United Nations International Telecommunication Union (ITU) to leverage artificial intelligence for addressing critical global …


title: 3 Reasons Baidu Could Be the Dark Horse of Global AI
url: https://www.nasdaq.com/articles/3-reasons-baidu-could-be-dark-horse-global-ai
source: news
discovered_at: 2026-03-10T04:00:24.260633
snippet:
Although not a household name in the United States, internet giant Baidu Inc. (NASDAQ: BIDU) is massively popular in China, where its legacy search business represents a majority of all internet searches in the country. U.S. investors unfamiliar with the ...


title: Future Forecasting The AGI-To-ASI Pathway Giving Ultimate Rise ... - Forbes
source: web
discovered_at: 2026-03-10T08:00:49.224226
url:
https://www.forbes.com/sites/lanceeliot/2025/07/09/future-forecasting-the-agi-to-asi-pathway-giving-rise-to-ai-superintelligence/

snippet:
A breakthrough in multi-agent AI allows AGI to exceed some top-tier human experts. This is heralded as the superhuman pursuit that was earlier hoped would be in AGI at the get-go.


title: DeepSeek to release long-awaited AI model to challenge ChatGPT
url: https://www.aol.com/articles/deepseek-release-long-awaited-ai-162425973.html
source: news
discovered_at: 2026-03-10T08:00:50.343304
snippet:
The arrival of DeepSeek's R1 model in January 2025 caused shockwaves throughout the tech industry, as it marked the first time a Chinese competitor was able to rival the most advanced models from US giants.


title: China embeds DeepSeek AI in everything from cars to police work
url: https://restofworld.org/2025/china-embeds-deepseek-ai-in-everything/
source: web
discovered_at: 2026-03-10T08:00:52.134898
snippet:
China ’s AI frenzy: DeepSeek is already everywhere — cars, phones, even hospitals ... China ’s biggest home appliances company, Midea, has ...


title: Alibaba launches open-source RynnBrain AI model for robotics
source: news
discovered_at: 2026-03-10T08:00:52.462645
url:
https://www.msn.com/en-gb/technology/artificial-intelligence/alibaba-launches-open-source-rynnbrain-ai-model-for-robotics/ar-AA1W3Yp2?ocid=BingNewsVerp

snippet:
Alibaba launched an open-source AI model for robotics on Tuesday. The RynnBrain model helps robots understand physical environments and execute tasks. Developed by Alibaba's DAMO Academy, RynnBrain ...


title: 15 Examples on Baidu ’s Lead in Global AI Race... - Marketing Scoop
url: https://www.marketingscoop.com/ai/baidu/
source: web
discovered_at: 2026-03-10T08:00:54.406714
snippet:
Baidu AI Research . The anchor of Baidu ‘s AI efforts is Baidu Research , its advanced research division employing thousands of engineers and scientists globally.


title: Analysis-China pins hopes on society-wide AI push to add jobs, rejuvenate economy
url: https://finance.yahoo.com/news/analysis-china-pins-hopes-society-101553069.html
source: news
discovered_at: 2026-03-10T12:00:17.078687
snippet:
BEIJING, March 10 (Reuters) - China's scramble to adopt artificial intelligence will spawn new jobs...


title: Deepseek AI (2025) - Deepseek-V3 (2025) - Deepseek
source: web
discovered_at: 2026-03-10T12:00:18.264110
url:

snippet:
Deepseek -V3 now available. Ask it any question and get a response in real time. Meet Deepseek -V3 (2025). The Best AI Chat to get a response in real time. Sign up now Boost Productivity · Coding Improvement · Deepseek & More Included · Just Ask, AI Answers


title: GitHub - alibaba /AliceMind: ALIbaba 's Collection of Encoder-decoders...
url: https://github.com/alibaba/AliceMind
source: web
discovered_at: 2026-03-10T12:00:20.796600
snippet:
This repository provides pre-trained encoder-decoder models and its related optimization techniques developed by Alibaba 's MinD (Machine IntelligeNce of Damo ) Lab . The family of AliceMind


title: Unreasonable Labs Raises $13.5M Funding Round to Scale Superintelligence for Knowledge Discovery
url: https://www.tmcnet.com/usubmit/2026/03/10/10345598.htm
source: news
discovered_at: 2026-03-10T16:00:39.123075
snippet:
Unreasonable Labs, the company building superintelligence for knowledge discovery, today announced it has launched from stealth and closed a $13.5 million funding round led by Playground Global, with participation from AIX Ventures,


title: Exclusive-China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says
url: https://www.yahoo.com/news/articles/exclusive-chinas-deepseek-trained-ai-001013838.html
source: news
discovered_at: 2026-03-10T16:00:40.892177
snippet:
Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's most advanced AI chip, the Blackwell, a senior Trump administration official said on


title: Meta Acquisition Brings Moltbook Founders to Superintelligence Labs | PYMNTS.com
snippet: Meta has reportedly acquired Moltbook, the Reddit-like social network built for artificial...
source: news
discovered_at: 2026-03-10T20:00:20.375528
url:
https://www.pymnts.com/artificial-intelligence-2/2026/meta-acquisition-brings-moltbook-founders-to-superintelligence-labs/


title: China's DeepSeek trained its AI model on Nvidia's best chip despite US ban
source: news
discovered_at: 2026-03-10T20:00:23.098986
url:
https://www.straitstimes.com/world/united-states/chinas-deepseek-trained-ai-model-on-nvidias-best-chip-despite-us-ban-official-says

snippet:
Nvidia's most advanced chip, the Blackwell, cannot be exported to China under US policy. Read more at straitstimes.com. Read more at straitstimes.com.


title: Exclusive-China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says
source: news
discovered_at: 2026-03-10T20:00:23.099197
url:
https://www.msn.com/en-us/news/technology/exclusive-chinas-deepseek-trained-ai-model-on-nvidias-best-chip-despite-us-ban-official-says/ar-AA1WVBpr

snippet:
By Steve Holland and Alexandra Alper WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's most advanced AI chip,


title: Alibaba® Official Site - Wholesale Suppliers Online
source: web
discovered_at: 2026-03-10T20:00:25.364659
url:

snippet:
alibaba .com has been visited by 100K+ users in the past month Traditional Sourcing Brought Online. Find Quality Products & Contact Verified Suppliers! Source Direct from Global Suppliers - Low MOQ, Great Deals, Customizable. Inspection Service · e-Credit Line · Get Full Order Protection · 100% Refu


title: Advancing multi-disease detection with AI imaging at Alibaba ...
url: https://www.linkedin.com/pulse/advancing-multi-disease-detection-ai-imaging-xak3e?tl=en
source: web
discovered_at: 2026-03-10T20:00:25.365408
snippet:
Oct 3, 2025 · At the 2025 AI for Good Global Summit, Ling Zhang, Senior Technical Expert and Lead of Multi-Cancer Screening Technology at Alibaba Group DAMO Academy Medical AI Lab , shared a detailed ...


title: Baidu Earnings: Ongoing AI Transformation Amid Near-Term Weakness
url: https://www.morningstar.com/stocks/baidu-earnings-ongoing-ai-transformation-amid-near-term-weakness
source: news
discovered_at: 2026-03-10T20:00:25.788696
snippet:
Baidu's BIDU third-quarter 2025 revenue declined 7% year over year as advertising remains weak, but its artificial intelligence cloud continues to be a larger part of the company. Why it matters: Overall revenue of CNY 31.2 billion was in line with our ...


title: Baidu Announces Fourth Quarter and Fiscal Year 2025 Results | Baidu Inc
source: web
discovered_at: 2026-03-10T20:00:27.000628
url:
https://ir.baidu.com/news-releases/news-release-details/baidu-announces-fourth-quarter-and-fiscal-year-2025-results

snippet:
BEIJING, Feb. 26, 2026/PRNewswire/ -- Baidu , Inc.(NASDAQ: BIDU and HKEX: 9888 (HKD Counter) and 89888 (RMB Counter)), (" Baidu " or the "Company"), a leading AI company with strong Internet foundation, today announced its unaudited financial results for the quarter and fiscal year ended December 31


title: Fast-Growing Brazilian Bank AGI Pursues U.S. IPO For Further Expansion Plans
source: news
discovered_at: 2026-03-11T00:00:33.999724
url:
https://seekingalpha.com/article/4860513-fast-growing-brazilian-bank-agi-pursues-us-ipo-for-further-expansion-plans

snippet:
AGI Inc. (AGBK) has filed to raise growth capital in an IPO of its Class A common shares, according to SEC F-1 registration information. AGBK provides a range of banking and financial services to ...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-11T00:00:36.782749
url:


title: China's Alibaba launches AI model to power robots as tech giants talk up 'physical AI'
source: news
discovered_at: 2026-03-11T00:00:37.167645
url:
https://www.msn.com/en-us/money/other/china-s-alibaba-launches-ai-model-to-power-robots-as-tech-giants-talk-up-physical-ai/ar-AA1W3ho2?ocid=BingNewsVerp

snippet:
Alibaba's new AI model called RynnBrain is focused on powering robots. One video released by Alibaba's DAMO Academy shows a robot identifying fruit and putting it in a basket. Nvidia and Google are ...


title: AI Lab Notebook - AI-Driven Drug Discovery
source: web
discovered_at: 2026-03-11T00:00:37.790469
url:

snippet:
sapiosciences.com has been visited by 10K+ users in the past month More than an ELN. Experience AI -powered drug discovery with ELaiN. Your AI co-scientist is here. Discover what you can do with our AI lab notebook. Popular Links:


title: OpenAI Targets 2025 for AGI Breakthrough and AI Workforce
url: https://moneycheck.com/openai-targets-2025-for-agi-breakthrough-and-ai-workforce/
source: web
discovered_at: 2026-03-11T04:00:32.359753
snippet:
OpenAI claims it will achieve AGI and deploy workplace AI agents in 2025 , but industry experts suggest a more gradual evolution of AI capabilities with continued need for human involvement.


source: news
discovered_at: 2026-03-11T04:00:34.884424
title:
ExperienceFlow.AI Announces the Launch of Its Research Laboratory to Advance Experience powered Decentralized Superintelligence

url:
https://www.morningstar.com/news/business-wire/20251105563930/experienceflowai-announces-the-launch-of-its-research-laboratory-to-advance-experience-powered-decentralized-superintelligence

snippet:
ExperienceFlow.AI, a pioneer in delivering autonomous enterprise operations and decision-making platforms, announces launch of their Superintelligence Research Laboratory. This press release features ...


title: China Plays the Long Game in AI While US Chases Superintelligence: Brookings
url: https://www.yahoo.com/news/articles/china-plays-long-game-ai-015259474.html
source: news
discovered_at: 2026-03-11T04:00:35.497684
snippet:
A Brookings report says China’s AI strategy prioritizes efficiency, open-source adoption, and embedding AI into real-world systems.


title: After DeepSeek: China shifts from breakthrough to AI scale
url: https://www.koreaherald.com/article/10691094
source: news
discovered_at: 2026-03-11T04:00:35.497825
snippet:
One year after DeepSeek unsettled the global AI landscape and signaled that China had narrowed the gap with the US in generative artificial intelligence, the qu ...


title: DeepSeek Ditches Nvidia, AMD for V4 Launch, Picks China Amid US Chip Row
source: news
discovered_at: 2026-03-11T04:00:35.497863
url:
https://www.outlookbusiness.com/corporate/deepseek-ditches-nvidia-amd-for-v4-launch-picks-china-amid-us-chip-row

snippet:
DeepSeek has withheld early access of its V4 model from Nvidia and AMD and has opted to work with Huawei instead. This comes as US officials have alleged that DeepSeek may have used Nvidia’s advanced ...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-11T04:00:36.178845
url:

snippet:
use. ai has been visited by 1M+ users in the past month Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible. AI for Every Use Case · Multi-LLM Access · Chat, Create, Explore AI · I


title: China's Alibaba launches AI model to power robots as tech giants talk up 'physical AI'
source: news
discovered_at: 2026-03-11T04:00:36.528388
url:
https://www.msn.com/en-us/money/other/chinas-alibaba-launches-ai-model-to-power-robots-as-tech-giants-talk-up-physical-ai/ar-AA1W3ho2?ocid=BingNewsVerp


title: Baidu’s Sales Stall as It Struggles to Cash in on AI
url: https://finance.yahoo.com/news/baidu-sales-stall-struggles-cash-092137835.html
source: news
discovered_at: 2026-03-11T04:00:37.140836
snippet:
(Bloomberg) -- Baidu Inc.’s revenue dipped, reflecting the difficulties of transitioning from search ads to AI during Ch...


title: Bring AI To The Lab Bench - AI Laboratory Solution
source: web
discovered_at: 2026-03-11T04:00:38.396649
url:

snippet:
Break free from outdated workflows and create a lab that’s built for the future of science. Enable labs to conduct more experiments, process data faster and make decisions quicker Real Time AI Analysis · Accelerate Your Research · Built For Scientists · Eliminate Errors


title: Baidu’s AI chip unit Kunlunxin plans Hong Kong listing
source: news
discovered_at: 2026-03-11T08:00:42.763898
url:
https://www.msn.com/en-us/money/top-stocks/baidu-s-ai-chip-unit-kunlunxin-plans-hong-kong-listing/ar-AA1TqMxQ?ocid=BingNewsVerp

snippet:
Baidu’s AI chip unit Kunlunxin has confidentially filed an application to list on the Hong Kong stock exchange, the latest company to capitalize on the frenzy surrounding artificial intelligence.


title: Sam Altman on Zero-Person AI Companies, Sora, AGI Breakthroughs ...
url: https://www.youtube.com/watch?v=zwnVUiwObl8
source: web
discovered_at: 2026-03-11T12:03:01.889071
snippet:
OpenAI just unveiled HUGE developer updates at DevDay 2025 - Apps in ChatGPT, Agent Builder, Sora API, and Codex updates that can handle day-long tasks.I sat...


title: Meta CEO Zuckerberg Eyes AGI Breakthrough With New...
url: https://finance.yahoo.com/news/meta-ceo-zuckerberg-eyes-agi-171034460.html
source: web
discovered_at: 2026-03-11T12:03:01.889439
snippet:
Tue, Jun 10, 2025 , 8:10 PM 1 min read. In this article AGI refers to machines that can learn or perform tasks typically requiring human intelligence.


title: Analysis-China pins hopes on society-wide AI push to add jobs, rejuvenate economy
url: https://finance.yahoo.com/news/analysis-china-pins-hopes-society-101553891.html
source: news
discovered_at: 2026-03-11T12:03:04.864990
snippet:
China's scramble to adopt artificial intelligence will spawn new jobs and propel the world's second...


title: Meta acquires Moltbook, set to join superintelligence unit
source: news
discovered_at: 2026-03-11T16:00:54.763376
url:
https://www.msn.com/en-xl/africa/nigeria/meta-acquires-moltbook-set-to-join-superintelligence-unit/ar-AA1XWydI?ocid=BingNewsVerp

snippet:
Facebook’s parent company, Meta Platforms, has acquired Moltbook, a social media platform designed for artificial intelligence (AI) agents, with the startup’s founders expected to join Meta’s ...


title: DeepSeek AI Predicts the 2026 Price of XRP, Bitcoin and Ethereum
source: news
discovered_at: 2026-03-11T20:00:32.483088
url:
https://cryptonews.com/news/chinas-deepseek-ai-predicts-the-price-of-xrp-bitcoin-and-ethereum-by-the-end-of-2026/

snippet:
Amidst widespread and pervasive market uncertainty, DeepSeek AI delivers explosively bullish price...


title: DeepSeek Without Any Limits - Deepseek
source: web
discovered_at: 2026-03-11T20:00:33.192172
url:

snippet:
Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible. Instant 24/7 Support · AI for Every Use Case · Chat, Create, Explore AI · Multi-LLM Access


title: Why Artificial Superintelligence Could Arrive Sooner Than Wall Street Thinks
source: news
discovered_at: 2026-03-12T00:00:22.911200
url:
https://www.nasdaq.com/articles/why-artificial-superintelligence-could-arrive-sooner-wall-street-thinks

snippet:
Wall Street sees artificial superintelligence (ASI) as a 2030s story. The evidence points to something far more imminent. The numbers reveal unprecedented mobilization. On Jan. 21, OpenAI, Oracle, and ...


title: Meta acquires AI agent social network Moltbook, founders join superintelligence labs
source: news
discovered_at: 2026-03-12T00:00:22.911459
url:
https://www.msn.com/en-in/money/news/meta-acquires-ai-agent-social-network-moltbook-founders-join-superintelligence-labs/ar-AA1YqFOE?ocid=BingNewsVerp

snippet:
Meta has acquired Moltbook, a social networking platform designed for AI agents, bringing its founders into the company’s Superintelligence Labs. The deal highlights the growing race among tech giants ...


title: Microsoft Pushes for Africa AI Adoption in Challenge to DeepSeek
source: news
discovered_at: 2026-03-12T00:00:24.873361
url:
https://www.bloomberg.com/news/articles/2026-03-12/microsoft-pushes-for-africa-ai-adoption-in-challenge-to-deepseek

snippet:
Microsoft Corp. is making a push for more Africans to adopt its artificial-intelligence tools as the US tech giant competes with China's DeepSeek for customers from the world's youngest and fastest-growing population. The Redmond, Washington-based ...


title: DeepSeek Without Any Limits - Advanced DeepSeek AI Engine
source: web
discovered_at: 2026-03-12T00:00:25.575989
url:

snippet:
Use. AI with DeepSeek delivers accurate, natural responses. Explore what’s possible. Built on DeepSeek . The next generation of AI chat is now smarter and faster than ever. Types : Research Assistance, Coding Help, Content Writing, Image Generation, Data Analysis


title: China's Alibaba launches AI model to power robots as tech giants talk up 'physical AI'
url: https://www.cnbc.com/2026/02/10/alibaba-ai-model-robotics-rynnbrain-china.html
source: news
discovered_at: 2026-03-12T00:00:25.964246
snippet:
Alibaba's new AI model called RynnBrain is focused on powering robots. One video released by Alibaba's DAMO Academy shows a robot identifying fruit and putting it in a basket. Nvidia and Google are among a handful of major tech giants developing models for ...


title: AI Lab Notebook - AI-Driven Drug Discovery
source: web
discovered_at: 2026-03-12T00:00:27.161846
url:

snippet:
sapiosciences.com has been visited by 10K+ users in the past month More than an ELN. Experience AI -powered drug discovery with ELaiN. Your AI co-scientist is here. Discover what you can do with our AI lab notebook.


title: Alibaba® Official Site - Wholesale Suppliers Online
source: web
discovered_at: 2026-03-12T00:00:27.162214
url:

snippet:
Traditional Sourcing Brought Online. Find Quality Products & Contact Verified Suppliers! Reduce Costs With Factory Direct Sourcing. Low MOQ, OEM/ODM Available. Source Now! Get Full Order Protection · Inspection Service · Trade Assurance · Most Popular Types : Machinery, Consumer Electronics, Packagi


