Nice case study of how far LLMs are from AGI. I gave it to o1 instead of 4o, testing whether the thinking tokens help. Alas, they don't. It never came up with t

Nice case study of how far LLMs are from AGI. I gave it to o1 instead of 4o, testing whether the thinking tokens help. Alas, they don't. It never came up with the "obvious" "skip-if-between" improvement over the naive algorithm. The skipping was obvious to me at first glance, before I read the full blog post. So o1 failing it even after prodding for algorithmic improvements is a sign it's not that smart (in an AGI sense). Note: the initial problem statement is ambiguous. Instead of saying "Given a list of random integers" - which the LLM somewhat reasonably interpreted as parsing from stain - you should phrase it as "Generate a list of random integers and then..." Link to ChatGPT session: https://chatgpt.com/share/677d0665-3f9c-8005-aaf8-662dec923dff https://chatgpt.com/share/677d0665-3f9c-8005-aaf8-662dec923d...