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I'm struggling to reckon how that can even possibly be true, unless we're counting automation of the "dumping that shorter summary into the input of every run" thing.

I can imagine it being true with models so small that each user could afford to have their own, but not with big shared models like what're getting used for all the major services. Is that what you mean?

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> Is that what you mean?

I think the confusion is that, when I write "model", you read "LLM."

LLMs aren't the only kind of AI model, and they have the limitations Aphyr mentions, for the obvious reasons you're thinking of.

His mistake is thinking that's the only model that exhibits intelligence today, but it's not.

I see nothing to preclude a foundation model being augmented by a smaller model that serializes particulars about an individuals cumulative interaction with the model and then streamlines it into the execution thread of the foundation model.

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