God that's absurd. The mathematical skills involved on that reasoning are very advanced; the whole process is a bit long but that's impressive for a model that can potentially be self-hosted.
God that's absurd. The mathematical skills involved on that reasoning are very advanced; the whole process is a bit long but that's impressive for a model that can potentially be self-hosted.
It's a public AIME problem from 2019.
There is an in-between measure of usefulness which is to take a problem you know is in the dataset and modify it to values not in the dataset on measure how often it is able to accurately adapt to the right values in its response directly. This is less a test of reasoning strength and more a test of whether or not a given model is more useful than searching its data set.
My intuition has slowly been building towards thinking of LLMs (and potentially all generative models) are essentially search algorithms
Since (2019^8 (an odd number) plus one) is an even number, it only has one prime factor which isn't odd : 2.