I think there is an interesting middle ground here too. You have the dichotomy Insight versus compute driven.
I would generally agree with your assessment.
Within the compute driven paradigm I’d propose a sub delineation. Intelligence able to generate novel insights versus intelligence able to succeed only in highly specified domains.
It is possible that LLM intelligence only scales in verifiable domains, but not in “insight” driven domains where you end up with a an AI that can solve math problems, identify vulnerabilities, and code in a vastly superhuman way, but is notably hobbled in other domains.
I think there is an interesting middle ground here too. You have the dichotomy Insight versus compute driven.
I would generally agree with your assessment.
Within the compute driven paradigm I’d propose a sub delineation. Intelligence able to generate novel insights versus intelligence able to succeed only in highly specified domains.
It is possible that LLM intelligence only scales in verifiable domains, but not in “insight” driven domains where you end up with a an AI that can solve math problems, identify vulnerabilities, and code in a vastly superhuman way, but is notably hobbled in other domains.