Am I the only one who enjoys it when LLMs overthink everything?

Opus 4.8 would spend like 10 minutes thinking and then go out there and do an excellent job. Only Fable 5 seems to be smart enough to just know everything it needs to immediately start working without any reasoning or verification. Opus 5 tries to be relentless like Fable, but it's not as smart as Fable and I have to constantly challenge and correct its unfounded assumptions. Sol is somewhere between Fable and Opus 5, it's smart but it's not Fable, it keeps making assumptions that I have to correct.

After trying all these models, I find that I miss Opus 4.8's overthinking. Sure it's slow, but it actually gets things right.

Depends on how you work with it. Reading the meandering and repetitive thinking is disturbing and taxing, so we can’t do that. So thinking has to be (mostly) hidden and just becomes waiting time.

Yes, for coding, they aren't overthinking enough. I want much more thinking and less code in the PR! Even with the best frontier models, I still have to guide them towards the right solution. The more thinking they do, the less code they write.

I have quite a complex codebase where I made a lot of nuanced decisions with regards to keeping the processes embarrassingly parallel, DB indexing, caching, async/await, backpressure monitoring, spam prevention, schema validation, etc... and now the agents are really good at adding features on top and prompting is minimal.

If you have a relatively large codebase and never even once cut a corner, then the AI agents tend to follow through with that style and the ratio of reasoning-to-code increases. Worth it.