It will become winner take all when AI companies manage to really get value from user logs.

Right now they don't even get good feedback from local sessions - I can see it make the same mistake two days running, and then months later when a new model comes out, presumably trained on my data, it still makes the same mistake.

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asah 3 hours ago | parent [-]

law of diminishing returns? i.e. any reasonable frontier lab will have enough user logs...

	▲	londons_explore 3 hours ago \| parent [-]
		My theory is there is actual knowledge in the user logs. When a user says "I'm struggling to undo a bolt on my 1952 Mustang" and the AI responds "try hitting it with a hammer" and the user replies with "that worked thanks" - that is a tiny piece of knowledge which exists nowhere else. Future AI's can say with more confidence that hitting it with a hammer will probably work. Across billions of conversations, that can add up to more knowledge than all books.