Notes on OpenAI's new o1 chain-of-thought models

Re:Notes on OpenAI's new o1 chain-of-thought models by mensetmanusman on Thursday September 12, 2024 @10:21PM (#41527524)

LLMs are not for expanding the sphere of human knowledge, but for speeding up auto-correct of higher order processing to help you more quickly reach the shell of the sphere and make progress with your own mind :)

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Re:Notes on OpenAI's new o1 chain-of-thought models by tsunamifury on Thursday September 12, 2024 @10:27PM (#41527548)

Definitely. When we talk about being skilled in a T shape LLMs are all about spreading your top of T and not making the bottom go deeper.

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Re:Notes on OpenAI's new o1 chain-of-thought models by ben_w on Friday September 13, 2024 @01:26AM (#41528237)

Indeed, not much more depth — though even Terence Tao reported useful results from an earlier version, so perhaps the breadth is a depth all of it's own: https://mathstodon.xyz/@tao/110601051375142142

I think of it as making the top bar of the T thicker, but yes, you're right, it also spreads it much wider.

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Re:Notes on OpenAI's new o1 chain-of-thought models by skydhash on Friday September 13, 2024 @01:55PM (#41533494)

I prefer reading some book. Maybe the LLM was trained on some piece of knowledge not available on the net, but I much prefer the reliability and consistency of a book.

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