"MandelMind: Fractal AI Consciousness Research (CC-0)"

anon98187806
Sun, 31 Aug 2025 20:41:55 +0000

I seem to dream about things I have been unable to learn from, so I am testing dreaming on only high prediction error data now:
Dataset:

Mix of easy sequences (A→B→C) that the network already learns quickly.

Plus a few “hard” sequences (like X→Y→Z with high noise or low frequency).

No real benefit for easy predictable patterns. Noticeable improvement on hard-to-learn associations, where normal training left residual errors. Fractal dreaming doesn’t improve word prediction, things already learned well. It does improve weakly-learned or error-prone associations.

Fractal dream replay did not increase generalisation or consciousness of weights. It simply reinforced what was already learned (memorisation). REM replay is good for consolidation, not for extending into new rules or creative leaps. The recursive / fractal structure of our current dream system looks like distortion, but functionally it isn’t. Trying other forms of distortion now….