The neural net is just a math function, continuous even, fully differentiable in all input points. In order to "learn" anything we compute gradients towards the

The neural net is just a math function, continuous even, fully differentiable in all input points. In order to "learn" anything we compute gradients towards the function parameters. They get "nudged" slightly towards a better response, and we do this billions of times. It's like carving a raw stone block into a complex scene. If you put your data into the system it flows towards the desired output because the right path has been engraved during training. <rant> This explains a bit how neural nets work but from this to chatGPT is another whole leap. You'd have to assign some of the merits of the AI to the training data itself, it's not just the algorithm for learning, but what is being learned that matters. The neural net is the same, but using 1T tokens of text is making it smart. What's so magic about this data that it can turn a random init into a language programmable system? And the same language information make a baby into a modern human, instead of just another animal. </>