Comment by ruszki

But before ChatGPT,, models had already done that, like all the time, and nobody questioned that these types of models (LLMs) wouldn't be next token predictors, since this is just an inference input data topic. This is questioned only since some less knowledgeable people seem to not have the vocabulary to express emergent properties of large next token predictors.

Reading the article, they wanted to convey that the loss function is more complicated... But they are still next token predictors, just not the trivial ones. Unfortunately, that was true even before, because the input data had to be cleared even decades ago, so there is nothing new. This article just butt hurt that some people deny that there are emergent properties with those, and try to sell something trivial in the field for many decades now. Current LLMs are not different because of these. Also, if they try to sell generated data in the training set, then that's also not new at all.