Earlier quoted context omitted.
> because their improvements are stagnating as they hit financial and technical challenges. I don't mean to be rude, but how is it even possible for someone to hold this opinion in mid-2026? Can you explain why you believe this?
Why would someone hold the opposite opinion? It’s much more likely that our current approach to large language models for general use will eventually show diminishing improvements (even if you think it hasn’t yet), than the opposite situation where valuable improvements can be made forever. The threat of distillation and efficiency gains from competitors mean that providing value at the top end of the market is an ex…
If you still think there's a stall despite all evidence pointing to opposite, I don't know what to say..