
Number theorist at UMontreal, author of “The Distribution of Prime Numbers” https://xitter.cf/t.co/5shPp0YcvW. Mastodon: @iteratedlog@mathstodon.xyz
Montréal, Québec
Joined October 2010
- Tweets388
- Following251
- Followers726
- Likes893
Dimitris Koukoulopoulos retweeted
the inimitable David Harvey wrote about his experience understanding the o(n log n) integer multiplication result: web.maths.unsw.edu.au/~david…
it's absolutely worth a read, both for the technical content and especially for the reflections on math and AI at the start
Dimitris Koukoulopoulos retweeted
I expect the big AI labs will soon stop dumping hundreds of papers. They’ve proved their point. The dust will settle and we’ll be left with an amazing tool to assist us with our research. Public access is the key. We need it free. terrytao.wordpress.com/2026/…
Really nice article. If hard math problems are indeed good "food for the shoggoth" (RL material), there seems no reason for AI companies not to just allow a large group of mathematicians access to internal models, to give more hard questions for the models to solve
I expect the big AI labs will soon stop dumping hundreds of papers. They’ve proved their point. The dust will settle and we’ll be left with an amazing tool to assist us with our research. Public access is the key. We need it free. terrytao.wordpress.com/2026/…
Dimitris Koukoulopoulos retweeted
Well worth reading: proofsandprompts.com/2026/10…
Dimitris Koukoulopoulos retweeted
Replying to @lreyzin
We've been given a very powerful tool. We still need to point it to interesting problems and work with it. This is more analogous to the supercollider in physics that confirms theories and intuitions. Our math experiments will need to be interpreted, and lead us to new insights.
Dimitris Koukoulopoulos retweeted
I realize @AcerFur is being ironic, but the popularity of the idea that AI "merely explores the convex hull" mystifies me. Why wouldn't it be more like the subgroup generated by existing mathematical knowledge? (That's also a metaphor -- I'm not saying there's a group structure.)
Dimitris Koukoulopoulos retweeted
My dream had always been to prove beautiful theorems as the AI agents unloaded my dishwasher. Well, it went the wrong way... 😂
Dimitris Koukoulopoulos retweeted
I was part of a group that met last week to try to propose recommended changes to the structure of math PhD programs in an age of AI. Our report, together with a collection of related resources, is now available here:
cmsa.fas.harvard.edu/aimathp…
Dimitris Koukoulopoulos retweeted
Martin Hairer, one of the other members of AGMAI (the advisory group on mathematics and AI), has written a post on the Proofs and Prompts blog that will I hope clarify what our purpose is. The rest of the blog is highly recommended too.
proofsandprompts.com/2026/09…
Dimitris Koukoulopoulos retweeted
I’ve had several people ask me about this paper, so background 🧵
Radchenko–Wheeler, “Real quadratic fields and finite quantum dilogarithms I” (arxiv.org/abs/2609.21892).
This result is amazing. They prove that certain special values of a transcendental function are actually algebraic.
The goal of “explicit class field theory” is to construct algebraic numbers (numbers that are roots of polynomials with coefficients in ℤ), and ultimately abelian extensions of number fields, by evaluating transcendental functions at special points. It traces back to Hilbert's 12th problem.
Ex 1: For ℚ, you have z = exp(2πix) at rational x. Clearly algebraic since z^n=1 if x=k/n.
Ex 2: For imaginary quadratic fields, you have "complex multiplication". Take τ in the upper half-plane and Λ = ℤ + τℤ. Then ℂ/Λ is an elliptic curve. At imaginary quadratic (“CM”) values of τ, the transcendental modular function j(τ) (j-invariant) is an algebraic integer.
Hilbert called CM "not only the most beautiful part of mathematics but also of the whole of science."
If τ is real, this breaks completely because Λ = ℤ + τℤ is dense in ℝ (despite still being rank 2 as a ℤ-module). So ℂ/(ℤ+τℤ) is not a nice complex torus anymore and not an elliptic curve. This is one reason Hilbert’s 12th problem gets nasty immediately after ℚ and imaginary quadratic fields and is still almost totally open. (... in the Archimedean case. The p-adic case was proven by @samit_dasgupta and Kakde.)
Stark and Shintani predicted that certain analytic quantities attached to real quadratic fields ("Stark units") should nonetheless be algebraic and generate abelian extensions. These can be written in terms of special values of Faddeev’s modular quantum dilogarithm, or a function Appleby, Kopp and I called "ש" (Shin), in homage to Shintani.
Quantum dilogarithms are analytic objects, but are expected to satisfy special polynomial identities at certain special points. In our paper on Zauner's conjecture (arXiv:2501.03970), we gave a very explicit quadratic identity that they should satisfy ("the twisted convolution conjecture"), which, together with some more detailed conjectures of Stark, would prove Zauner in every dimension.
Radchenko and Wheeler prove that the quantum dilogarithm indeed satisfies polynomial identities at certain special points. They also prove explicitly the twisted convolution conjecture for the case of the principal ideal (the admissible pair (d, ⟨1,1-d,1⟩) in the language of arXiv:2501.03970). They claim the general case as well, though they omit the proof.
Very interestingly, they prove the algebraicity by showing that the quantum dilogarithm maps to a fusion category, and since fusion categories obey "Ocneanu rigidity" they must be algebraic. Rigidity says, roughly, there are only finitely many equivalence classes with fixed fusion data and no continuous deformations. Because the structure constants solve polynomial equations over an algebraic field, that forces them into ℚ̅. Specifically, they say they "categorify Izumi fusion rings", but I don't know what that means and I look forward to understanding this better.
Although they have proven algebraicity, they have not actually proven that their algebraic numbers are the "correct" ones, in the sense that "correct" Stark units should live in a specific field extension and have specific transformation properties under the action of the Galois group. This is left open.
The consequences for Zauner's conjecture are: It's still completely open for any infinite family! To prove it, you would at least need to prove that there is a Galois automorphism in Gal(ℚ̅/ℚ) that takes the quantum dilogarithm special values to points on the unit circle. You might also need to prove some properties of the Galois group action; I will need to read this to understand it better.
Congrats to the authors on a wonderful result!
Dimitris Koukoulopoulos retweeted
Replying to @rperezmarco
I think SAIR is a fantastic initiative. Acknowledging that LLM are going to be a basic math research infrastructure, the next step is developing that kind of infrastructure outside of for-profit dynamics. We cannot leave access to a basic infrastructure to companies that respond only to profit. It is crucial to preserve academic freedom and the very notion of basic science. Folks, OpenAI’s interest in math is merely commercial, it’s a matter of advertising and PR (and they played it poorly), you can’t imagine a future for math where they control who does what in math.
Also, I keep being amazed by people spouting hate towards the likes of Tao or Villani, like they are just any other folk commenting on math research. Seriously.
Dimitris Koukoulopoulos retweeted
Replying to @aryehazan
The argument has to be that we’ve glimpsed a sliver of everyone’s future, so slow down for your sake, not ours.
Mathematician Terence Tao:
"we have to slow down AI. the pace is insane, and there's no reason to be this fast — no reason at all"
It's amazing how willing we are to change everything without any idea what happens afterward
These are extremely nonlinear dynamics
Dimitris Koukoulopoulos retweeted
This is a reasonable way to integrate AI into mathematical practice. If implemented properly with involvement of mathematical community, it may at least eliminate these marketing stunts of AI companies that only seem to, but not actually, progress mathematics via their AI sloppy expert-free mathematical expositions and culture-destructive dissemination methods. In the long run, it would prevent the privatization of mathematics.
terrytao.wordpress.com/2026/…
Dimitris Koukoulopoulos retweeted
Replying to @iteratedlog
We are at a conference on applications of AI to number theory and we also came to the conclusion that a CERN style LLM model that is available for math research is one of the most sensible goals at the moment!
Dimitris Koukoulopoulos retweeted
This is the way. Absolutely this should be build urgently.
I’ve written a guest post on Terry Tao’s blog about the challenges science is facing due to the rise of AI and some thoughts about how we can address them. Many thanks to Terry for hosting me. terrytao.wordpress.com/2026/…
Dimitris Koukoulopoulos retweeted
The budget makes it hard to imagine, but an LLM built by and for mathematicians would solve so many of the problems with the current situation.
I'm a big fan of building a CERN for math.
I definitely think we'll want a community built LLM too, since at the end of the day there's no money in building mathematical super-AI's, and we'll want it to be open anyhow.
I also suspect we'd build a better one faster (starting with open weight models), than closed American frontier model developers would let us host their models.
@NVIDIAAI @JensenHuang @finkd
Dimitris Koukoulopoulos retweeted
There has been a recent surge of fantastic essays about mathematics and AI, representing a range of viewpoints.
I recommend reading them all.
If, like me, you prefer a PDF I am collecting these at thomasbloom.org/AIEssays.pdf
(Currently 16 articles and 55 pages.)
Dimitris Koukoulopoulos retweeted
I'm a big fan of building a CERN for math.
I definitely think we'll want a community built LLM too, since at the end of the day there's no money in building mathematical super-AI's, and we'll want it to be open anyhow.
I also suspect we'd build a better one faster (starting with open weight models), than closed American frontier model developers would let us host their models.
@NVIDIAAI @JensenHuang @finkd
I’ve written a guest post on Terry Tao’s blog about the challenges science is facing due to the rise of AI and some thoughts about how we can address them. Many thanks to Terry for hosting me. terrytao.wordpress.com/2026/…
Dimitris Koukoulopoulos retweeted
I have signed a letter from 42 fellows and foreign members of the Royal Society to Paul Nurse, the president of the society, concerning the need to treat the serious risks of AI as an emergency.
docs.google.com/document/d/1…



















