I love how Terrence Tao went from being AI shiller -- being a walking advertisement for openai and anthropic to a Oh nO MaThS iS KilLeD wHaT aBoUT mY JoB in a few months.
[This is a guest post by Francesco Maggi. This blog post was initially written in a different file format and converted using AI. — T.]
I wonder if there was a collapse in people applying to math PhD programs.
It would be cool if some prestigious such program revamped itself to be AI-focused, maybe in collaboration with a CS department.
terrence tao didn't even write this post and the conclusion it has is thus:
> Universities, professional societies, funding agencies, and scientific foundations should coordinate the development and governance of competitive LLMs. Scientists will need access to frontier capabilities, transparency about their operation and use of research data, strong confidentiality protections, and the ability to test and reproduce research claims independently.
> The massive computing resources, specialized personnel, data infrastructure, and ongoing investments needed to support this kind of initiative are not within the reach of a single institution, and a huge leadership effort will be necessary to conjure the combination of independent model development, guaranteed access to commercial systems, public computing infrastructure, and open research resources that could do the job.
the post is calling for....an enormous investment in LLM infrastructure.
I find it very weird how he didn't foresee the end of math, being so smart. I mean I did and I'm definitely less smart than him.
1) This is a guest post.
2) TFA argues golden age, provided LLM infrastructure is independent.
3) Tao just opened a new SAIR AI platform.
4) Tao just opened a journal for papers with Lean proofs.
5) Academics are known to play both sides of the fence.
It is absolutely bewildering how some people miss the finer points.