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@elduvelle @artemis Great analysis. As a software engineer and a biologist, I think your intuition is spot-on.

The biggest difference between LLMs and biological intelligence is that LLMs *don't learn from experience*, at least not immediately in the moment like we do. They have distinct "training" and "inference" modes. When you are interacting with Claude, you are in "inference" mode. It gives likely answers based on its training, but *it's not learning anything new".

The model has no memory of is interactions with you. Literally! All of the persistence you see in a session is really just a fancy trick -- they just feed your entire chat session back into the LLM, and ask "what is the next most likely token"? Again, and again, and again. Every time, your *entire conversation* is fed back into the model, just to predict the next token.