I didn't say it's not there. or that you couldn't communicate the ideas of math/arithmetic with language. You can get GPT-3 (yes 3) to have 98.5% accuracy on a

I didn't say it's not there. or that you couldn't communicate the ideas of math/arithmetic with language. You can get GPT-3 (yes 3) to have 98.5% accuracy on addition arithmetic (even very large numbers) by..simply describing the algorithm of addition to performed on 2 numbers. https://arxiv.org/abs/2211.09066 https://arxiv.org/abs/2211.09066 The basic idea i'm communicating is that not everything that can be extracted from self supervisory token prediction can be extracted with the same ease. and it is very easy to see why math is one the higher difficulty things. It is extremely easy comparatively to infere "happy" from the sentence - John is smiling therefore he is ----. all the information you need to make that inference is packed tightly in the preceding words. it is not the same for arithmetic at all.