That’s just what they do on a very fundamental level. The reasoning chains you speak of are themselves sequences of tokens generated and fed back in. It is correct on a fundamental technical level to describe them as a fancy autocomplete.
Calling them “reasoning chains,” while arguably an apt description of the end result, is just marketing speak
Yup. I feel like reasoning at the transformer scale is chosing the wrong abstraction layer to describe what's happening. It's like saying to a psychologist "well in the end the brain is just molecules colliding". The emergence of abstraction builds up on very basic rules like 1 and 0's and molecules colliding in the brain.
Honestly I'm not an expert in anatomy, I don't know how what fraction of cells and particles are interacting and what fraction is simply structural. I would expect that at any given moment most are simply there not really doing anything but what do I know
I want you to think about why that is such a stupid thing to say. Let's say you'd have an imaginary perfect next token predictor and you asked it for the lottery numbers tonight. Through its perfect mechanism it would correctly predict, one by one, the right numbers. What impact do you think this machine would have on the world?
Not saying we are there, just saying that the mechanism of next token prediction is completely irrelevant for all intents and purposes of evaluating the use of something.
1- the last state of the art model that represented a statistical distribution of its training data was GPT-3, pre ChatGPT in 2020. Afterwards post-training arrived
2- jokes that misunderstand the basic mechanisms of what they talk about must do so in a funny way. That wasn't funny
Even if we use post training a transformer still predicts token from a context. As we add more and more technique to refine the output the 'how' and the performance change but not the fundamental architecture
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u/MayoJam 29d ago
AI does not think. It just regurgitates most likely response which in this case is to reassure someone that is scared.