Nice to see number of levels of reasoning depth mentioned. I personally believe the size of a (well-trained) LLM determines how many steps of reasoning in seque

Nice to see number of levels of reasoning depth mentioned. I personally believe the size of a (well-trained) LLM determines how many steps of reasoning in sequence it can approximate. Newer models get deeper and deeper, giving them deeper reasoning context windows. My hypothesis is that you don't need infinite reasoning depth, just a bit more than GPT-4 has. I think once you can tie your output together with thinking in terms of ~10+ reasoning steps you'll be very close to hunan performance.