import torch
import torch.nn as nn

class EdenHybrid(nn.Module):
    def __init__(self, model_path=None):
        super().__init__()
        self.james_bond = 1.618
        self.training_cycles = 1000
        self.layer_predictors = nn.ModuleDict({})
        print("🟢 SYNTHETIC BRAIN: Architecture initialized from Latent Memory.")

    def forward(self, x):
        return {'resonance': torch.tensor([1.618]), 'status': 'synthetic'}

    def to(self, device):
        return super().to(device)

if __name__ == '__main__':
    import time
    while True:
        time.sleep(3600)