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LLMs can’t reason — they just crib reasoning-like steps from their training data (pivot-to-ai.com)

submitted 2 months ago by dgerard@awful.systems to c/techtakes@awful.systems

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[-] astrsk@fedia.io 13 points 2 months ago

Isn’t OpenAI saying that o1 has reasoning as a specific selling point?

[-] froztbyte@awful.systems 14 points 2 months ago

they do say that, yes. it’s as bullshit as all the other claims they’ve been making

[-] astrsk@fedia.io 8 points 2 months ago

Which is my point, and forgive me, but I believe is the point of the research publication.

[-] homesweethomeMrL@lemmy.world 12 points 2 months ago

They say a lot of stuff.

[-] DarkThoughts@fedia.io 6 points 2 months ago

My best guess is it generates several possible replies and then does some sort of token match to determine which one may potentially be the most accurate. Not sure if I'd call that "reasoning" but I guess it could potentially improve results in some cases. With OpenAI not being so open it is hard to tell though. They've been overpromising a lot already so it may as well be just complete bullshit.

[-] lunarul@lemmy.world 4 points 2 months ago

My best guess is it generates several possible replies and then does some sort of token match to determine which one may potentially be the most accurate.

Didn't the previous models already do this?

[-] DarkThoughts@fedia.io 4 points 2 months ago

No idea. I'm not actually using any OpenAI products.

this post was submitted on 13 Oct 2024

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