Thank you for the link to the post. It was a fascinating read and also entertaining.

After seeing the story of the fruit fly brain simulation I figured stuff like the nematode would be trivial.

The lack of active plasticity in LLMs causes a lot of frustration imo. Having agents make the same mistakes over and over and not be able to correct course without prompt engineering is the biggest symptom.

Obviously a static mind is more helpful from a performance perspective, especially if you consider model deployments into gateware.

Maybe this will be an inherent limitation to LLMs that won’t be solvable without a new approach.