Upvoted for a different perspective.

The thing to remember about the HN crowd is it can be a bit cynical. At the same time, realize that everyone's judging AI progress not on headroom and synthetic data usage, but on how well it feels like it's doing, external benchmarks, hallucinations, and how much value it's really delivering. The concern is that for all the enthusiasm, generative AI's hard problems still seem unsolved, the output quality is seeing diminishing returns, and actually applying it outside language settings has been challenging.