If you simply describe addition as an algorithm and ask language models to perform said algorithm on 2 numbers, addition arithmetic accuracy even on very large

If you simply describe addition as an algorithm and ask language models to perform said algorithm on 2 numbers, addition arithmetic accuracy even on very large numbers shoots up to 98.5% https://arxiv.org/abs/2211.09066 https://arxiv.org/abs/2211.09066 LLMs don't struggle with arithmetic because "they can't understand anything!". They struggle with arithmetic because it's really not something that's all that well encoded in language. Self supervision means you aren't necessarily always picking up the most accurate world models. There are models of arithmetic in there. They're just wrong or faulty.