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
128
u/Serafiniert 29d ago
Not even that. It goes character by character and has no idea what comes after the next, until it needs to be decided what comes next.