Or are humans more of a bottleneck than before, because to improve on the most complex problems that demonstrate intelligence you need some way to verify that they are correct. If it's hard for humans to even know if something is correct, wouldn't that slow everything down and simply put limits on the scaling speed of models based on human verification?
So instead of relying heavily on human bottlenecks, you focus on agentic task verification since that's the low hanging fruit and verifiable at scale?
Very interesting point you make! Before LLMs I had a theory that we cannot make something more intelligent/complex than us.
LLMs are certainly more knowledgable, but maybe not more intelligent, arguably. It's possible we're approacing a ceiling indeed.
Model capability might be on an asymptote appraching but never quite reaching parity with human intelligence.