What do you expect from Avigad, who works on Lean? Tao is herding the sheep into the AI enclosure with a stream of AI-positive guest posts.

There are no concerns about being funded by a small number of rich AI-boosting foundations, no concerns that intuition and radical new thoughts might be impeded by staring into a glowing rectangle all day and only some concerns about job losses.

It is all very well for the directors and the tenured, who apparently hope they can solve a major problem with AI while avoiding hard work.

>Can every interesting mathematical question be answered that way? Probably not, and even questions that can may have more interesting and satisfying solutions that invoke novel ideas and insights. Perhaps, in the near future, AI systems will be able to come up with such insights, but, at the very least, let’s recognize that we are not there yet.

This keeps being repeated by AI skeptics, yet AI keeps solving more and more complex tasks. We've reached the point that it's even started solving Millennium problems.

>Telling us that some AI agent is spinning out theorems that are highly interesting to it and other AI agents does nothing for us.

This is the future of pushing the frontier though. AIs need to be pushed to get better and better. AI understanding of math is millions times more important than human's.

Maybe the next frontier for AI is to make it more pedagogical.

If the aim of mathematics is to promote greater human understanding, then surely elevating everyone’s grasp and appreciation of math is of greater import than chasing another theorem feather for our hats - especially if AI can automate the plucking.