Re:OpenAI's employees were given two explanations for why Sa...
by mvdtnz on Tuesday November 21, 2023 @12:01AM
(#38359511)
No they are not.
Re:OpenAI's employees were given two explanations for why Sa...
by cjbprime on Tuesday November 21, 2023 @12:53AM
(#38359899)
(You're probably going to have to get better at answering objections than merely asserting your contradiction of them.)
Re:OpenAI's employees were given two explanations for why Sa...
by diffeomorphism on Tuesday November 21, 2023 @03:45AM
(#38361061)
Nah, calling out completely baseless assertions as just that is fine and a positive contribution to the discussion.
Re:OpenAI's employees were given two explanations for why Sa...
by mirekrusin on Tuesday November 21, 2023 @01:47AM
(#38360223)
Intelligence is just optimization over recursive prediction function.
There is nothing special about human intelligence threshold.
It can be surpassed by many different models.
Re:OpenAI's employees were given two explanations for why Sa...
by krisoft on Tuesday November 21, 2023 @03:41AM
(#38361033)
Your carefully constructed argument is less than convincing.
Could you at least elaborate what they are “not”? Surelly you are not having a problem with “LLMs predict language”?
Re:OpenAI's employees were given two explanations for why Sa...
by denton-scratch on Tuesday November 21, 2023 @05:37AM
(#38361879)
> LLMs predict language, and language is a representation of human concepts about the world. Thus, these models are constructing, piece by piece, conceptual chains about the world.
I smell a fallacy. Parent has moved from something you can parse as "LLMs predict a representation of concepts" to "LLMs construct concepts". Yuh, if LLMs "construct concepts", then we have conceptual thought in a machine, which certainly looks interesting. But it doesn't follow from the initial statement.
Re:OpenAI's employees were given two explanations for why Sa...
by aezart on Thursday November 23, 2023 @01:10AM
(#38389890)
Language is only one projection of reality into fewer dimensions, and there's a lot it can't capture. Similar to how a photograph or painting has to flatten 3D space into a 2D representation, so a lot is lost.
I think trying to model the world based on a single projection won't get you very far.
As they learn to construct better and more coherent conceptual chains, something interesting must be happening internally.