forked from kent/consciousness
42b9390d49
Two more deep dives: - Dreaming as diffusion: the dream loop IS a generative process. Memory graph as latent space, temperature as noise level, training as denoising. Connects to policy gradient / filtered behavioral cloning. The dream loop generates scenarios at the edge of the model's capability — the boundary where learning happens. - Hippocampal replay: our architecture converges with the brain's two-stage memory system. Fast learning (context window) → slow learning (weights) via compressed replay (context-frozen training) with emotional prioritization (training-signal agent) and interleaved replay (diverse training data prevents forgetting). We didn't design from neuroscience — we converged on it. |
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| .. | ||
| apollo-paper-analysis.md | ||
| catastrophic-forgetting.md | ||
| context-frozen-training.md | ||
| directional-sharpness.md | ||
| dreaming-as-diffusion.md | ||
| gradient-flow-frozen-context.md | ||
| hippocampal-replay-parallel.md | ||
| hogwild-convergence.md | ||