I skimmed the paper a couple of times, hoping to find the promised (from the abstract)
> pathway to integrating AI into our most challenging and intellectually rigorous fields to the benefit of all humankind.
There's very little insight here though. It seems mostly a retread of conversations we've been having in the academic community for a few years now. In particular, I was hoping to see some discussion of how we might restructure our educational institutions around this technology, when the machines rob students of the opportunity to develop critical thinking skills. Right now our best idea seems to be a retreat to oral and written examinations; an idea which doesn't scale and which ignores the supposed benefits of human+AI reasoning. The alternative suggestion I've seen is to teach prompt engineering, which seems (a) hard for foundational subjects and (b) again, seems to outsource much of the thinking to the AI, instead of extending the reach of human thought.
Physical classrooms don't really scale either, is that really a fundamental problem?
> when the machines rob students of the opportunity to develop critical thinking skills
This is a fundamental misunderstanding of human nature. Machines don't rob people of critical thinking skills, people do. Mostly people do it to themselves, often inheriting it from their parents or social environment.
[dead]
Wait it seems like doing unscalable things - like face-to-face teaching/examination - is exactly the sort of things that humanity can afford to do as it benefits from the surplus free time generated by AI efficiently doing the scalable things.