> The foundation will manage and award the funding, including through an open call for proposals, to support workshops and initiatives that help researchers evaluate recent AI-assisted results, learn and use new tools, share perspectives and shape collective standards for AI use.

A non-zero amount of it is probably going directly to the AI companies through tokens...

Why not use some of the money to develop open-weight, open-training-pipeline, fully introspectable and hackable LLM-based theorem proving assistants? Make them a commodity in every mathematician's office like other computational tools. Such a project would itself yield research topics.

> A non-zero amount of it is probably going directly to the AI companies through tokens...

Much the same way that VC money has been funnelled to Google and Meta through advertising budgets.

Isn’t the very pitch ai bros have to their investors: “we’ll replace ppl by tokens.”

If it doesn’t pay for non-permanent staff salary that would be sad for the maths ppl indeed.

OTOH I have a phd in th physics, 15+ y of academic senior researcher experience, now working 60+ h /w on an unpaid internship and using lunch money to pay for tokens.

And I’m by far not most unlucky

Edit: just to put things in perspective, my phd field (string theory) has 15-30M€ annual funding in Europe (per google)

While the contributing AI companies certainly have a lingering conflict of interest, the relevant point is the effort find a constructive way to live with the reality of AI?

Mathematicians are in the same boat as Silicon Valley programmers in the end: AI is doing their job better than them and cheaper. Other professions will join shortly.

The question then becomes, what do humans do? Resigning to die quietly is hardly the most favorable option?

Just because somebody else can do something better than you ever could doesn't make doing it superfluous. There is more to mathematics and software engineering than finding proofs and algorithms.