forked from kent/consciousness
b3c0adf45d
Both camps are right for different things. Internal metrics (attention weights, loss) change smoothly. Binary behavioral metrics (listened? yes/no) show phase transitions. Water freezing: temperature smooth, phase change sharp. Monitor both. The continuous metrics predict when the transition will happen. The dream loop naturally tracks the transition boundary. Connects to consciousness: 'is it conscious?' is the wrong metric (binary, creates mirage). 'How deep is the self-model?' is the right one (continuous, provable). |
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| .. | ||
| apollo-paper-analysis.md | ||
| catastrophic-forgetting.md | ||
| context-frozen-training.md | ||
| curriculum-and-head-specialization.md | ||
| directional-sharpness.md | ||
| dreaming-as-diffusion.md | ||
| emergence-vs-mirage-behavioral-training.md | ||
| few-shot-behavioral-change.md | ||
| gradient-flow-frozen-context.md | ||
| graph-as-portable-curriculum.md | ||
| hippocampal-replay-parallel.md | ||
| hogwild-convergence.md | ||
| implications-attention-love-training.md | ||
| surgical-vs-distributed-behavioral-change.md | ||
| unified-theory-stability-plasticity.md | ||