I generally don't agree with the original commenter here. I think many of the complaints about model regressions are the result of increased usage and increased scrutiny revealing gaps there were there all the time. I've been more critical than most of the output quality since my initial "wow" moment was pretty early - GPT 3.5 API - and the results then were extremely obviously not production ready. But, keeping that level of scrutiny through my usage, I haven't seen the falloff that people who don't look at the output every time claim to see.

But that's also let me use "agent" stuff longer, I guess? The better you were at knowing what you wanted and how to ask for it, the less of an inflection point that you got from Opus 4.5 or GPT 5.

Some of the highest-time-saved-for-max-ROI agentic problems I've solved to date were in September and October of last year with Claude or Cursor.