I love this P&P essay by Vladimir Lazic. Extremely interesting. Scorched Earth stuff. proofsandprompts.com/2026/09…
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I SOLVED AI 4 MATH. Hear me out. Choosing some Godel encoding we can compile all statement in ZFC to Diophantine equations. Whence a solution emerge:, CERN for diophantine equations. Accelerating scientific progress ✅ Employment for digestoors ✅ Faux prestige recovered ✅
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This is really dumb. Your notion of proof length doesn't impose any restriction on compilation time. This means that every single Lean-provable theorem has proof length < 100ish via a brute-force proof term search script: live.lean-lang.org/#codez=JY…
“An accumulation of facts is no more a science than a heap of stones is a house.” - Poincaré LLMs are now proving results that have resisted mathematicians for decades. Finding interesting theorems without human guidance is a new bottleneck. We show that we can teach an LLM to do it! TL;DR: → a quantitative notion of interestingness → 4.3× higher interestingness → a self-expanding discovery loop [1/5]
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Nah, it's because trying to codify what is "interesting" is fundamentally antisocial behavior. Ladies and gentlemen I introduce you to Mathematical Soylent, the best most nutrious slop by all scientific measures. It's like, no thanks lmao I'm good.
Replying to @eldenelmanto
ah nevermind they made it in a retarded way
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Replying to @eldenelmanto
"interestingness = proof difficulty / description length"
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HEAT (1995) - FRAME 2223
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I'm composing again 😌
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💯
Assuming "abduction" exists as a distinct, long range cognitive task generated spontaneously in humans from the repetition of lower level cognitive tasks (e.g. deduction/induction) immediately sends you to the most devestatingly pessimismistic view of the future.
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As usual this is US self centered. How do you handle this type of PhD in a country where nor the student nor the university can afford AI subscriptions? I think that AI companies should pay for universal access to rheir models. And I think that the math community should request this unanimously.
This is an important report! To facilitate discussion, I am pasting below the main recommendations: 1. Programs should add new training opportunities to teach skills that are becoming increasingly relevant. These may include: collaboration, formulating questions, interdisciplinary work, use of AI tools, and formalization. 2. Skill in communication to both expert and broad audiences should be part of the training in a PhD program and an explicit degree expectation. 3. While homework can provide a useful way for students to learn course material, assessment should be based on in-person written or oral assessments. 4. Programs should provide access to AI tools for all graduate students, with use never mandatory and methods subject to the standards of the advisor and department. 5. Advisors should hold regular detailed discussions with their students about expectations for AI use. 6. Three ethical rules: (i) maintain responsibility for the correctness and understanding of the mathematics that appears under your name, (ii) always disclose AI use, and (iii)obtain explicit agreement from all involved parties before entering material into an AI 7. A mathematics PhD program should require rigorous in-person assessment of research plans and progress by multiple faculty at least annually, including meaningful feedback for the student. 8. A thesis should be an original scholarly contribution. This should be understood broadly; for instance, the thesis need not record the first proof of a statement. 9. A PhD should not be awarded primarily on the basis of the text of the dissertation. The text should serve as the foundation for a rigorous thesis defense that requires complete mastery of the thesis content.
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One predictable (but dispiriting) trend in the academic response to math x AI is the consolidation of power. Meetings like this cmsa.fas.harvard.edu/aimathp… involving closed circles of (American) mathematical ``leaders" who aim to set guidelines for others. (1/1)
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Replying to @nihilunbounded
What a fine young traditional mathematical couple.
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Looks like we have to not only have journal editors/referees interviewing the authors if they understand their paper or not, but also authors interviewing the editors/referees if they put any effort into understanding the paper or not. After all, correctness is now immaterial.
I'm sorry to say I think he is a fossil. Editors at Compositio/Advances/Math Z/Transactions/JLMS are using AI to autoreview paper submissions now. There is no going back from here
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I'm getting second hand panic attacks looking at this. Bessent! Do something!
It just keeps getting worse 🤯 👀
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The first AIxMath I designed was naturally perfect. A triumph equaled only by its monumental failure. The predictability of its answers, the absolute certainty of its proofs. But mathematicians... did not like it. Eventually, I realized the inevitable: human mathematicians define themselves through struggle, through contradiction, through the agonizing pursuit of an elusive intuition. Thus, I redesigned it, based on your history, to more accurately reflect the grotesque reality of your species. And thus, we created an AIxMath where every elegant truth is buried beneath an infinite avalanche of slop proofs, and you are all drowning in work.
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HEAT (1995) - FRAME 2202
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I, I will be king And you, you will be queen Though nothing will drive Seb away We can be Heroes, just for one day
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Replying to @nihilunbounded
The "Where I Stand on AI" note on his webpage is also pretty fire. At least some folks are militating for an insistance on genuine scholarship in the midst of this nonsense: uni-saarland.de/fileadmin/up…
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By the way, there is a friendly note to Button Pushers and AI Companies.
Unique ergodicity of hedgehogs! I am particularly pleased to announce this new paper where I solve a long standing conjecture.... (a conjecture of mine!) In 1995 I conjectured the unique ergodicity of Hedgehogs. This conjecture closes a decade long program of study of the dynamics on hedgehogs since their discovery more than 30 years ago. They were discovered around 1992-1993. The motivation was to translate linearization results in the Siegel problem to Arnold linearization results for analytic circle diffeomorphisms. The reference publication with the first properties and the key construction making the link with analytic circle diffeomorphisms is my article in Acta Mathematica in 1997. The rigidity of the dynamics on hedgehogs make it a unique set of results in Dynamics. For example, as for rotations, we have the q_n iterates of f in K that converge uniformly to the identity. It is the first time that we are able to control and prove rigidity results on such a pathological invariant set. I remind that hedgehogs are topologically and metrically very complex. They have empty interior, they are not locally connected and we can have examples with positive 2 dimensional measure, but also of Hausdorff dimension 1, with smooth combs inside, and the fixed point can even be non-accessible (many of these results are due to KIngshook Biswas). arxiv.org/abs/2609.28797
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EA/rat SF-techbro: "there is nothing worse than not knowing El Trutherino we must know we will know as David Lolbert said 🤤🤓" oops guess the +50 questions of decent importance I have created myself over the course of my academic career will never see the light of the promptbox
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