Algorithm interview and competitive programming type questions are probably some of the easiest for GPT to solve because there are a massive number of problems

Algorithm interview and competitive programming type questions are probably some of the easiest for GPT to solve because there are a massive number of problems and solutions publicly available for training. The real benefit of AI is somewhat shown in this paper, it effectively solved the problems through brute force generating millions of possible solutions. For real world problems it would be interesting to let GPT generate a bunch of different solutions and push them into a test environment and see which works best. The biggest problem I see is black swan events where AI coded systems work great until something goes wrong and no human truly knows how all the pieces fit together.