I haven’t been super impressed with it, and haven’t encountered any practical tasks I wanted to solve with an LLM where o1 worked any better than prompting 4o or Sonnet to use more extensive CoT.

There might be some narrow band of practical problems in between what other LLMs can do and what o1 can’t, but I don’t think that really matters for most use cases, especially given how much slower it is.

Day to day, you just don’t really want to prompt a model near the limits of its capabilities, because success quickly becomes a coin flip. So if a model needs five times as long to work, it needs to dramatically expand the range of problems that can be solved reliably.