> To the best of my knowledge—and I double-checked—this exam has never before been posted on the public Internet, and could not have appeared in GPT-4’s training data. Sure, but you can Google the answers to most of the questions. Personally I've accepted that GPT does learn and apply concepts present in its training data, and all of this would be. Learning is part of intelligence but not the whole thing. (I thought…
I used to agree with you. The paper that made me unsure was "Transformers learn in-context by gradient descent" [1]. Basically, the model learns weights that let it run gradient descent at inference time in order to do in context learning. If transformers can learn this, then I think they can learn almost anything given enough compute/parameters/data. Of course, even if this is true then it's possible that there simp…
Second, the idea of meta-learning gradient descent, or that some learning algorithms can do it, isn't new or specific to Transformer architectures.