[antirez]

One interesting thing about LLMs, that is also related to why chain of thoughts work so well, is that they are good at sampling (saying a lot of things about a problem), and are good, when shown N solutions, to point at the potentially better one. They do these things better than zero-shot "tell me how to do that". So CoT is searching inside the space of representation + ranking, basically. So this idea is leveraging something LLMs are able to clearly do pretty well.