Shreyas Srinivas

Shreyas Srinivas

@lean-samaritan.bsky.social

Research : Formal Math ∩ Algorithms ∩ Lean ∩ Hardware Some advice: 1. Lean can’t read your mind or the bot’s. 2. Good lean proofs improve exposition. Drastically. 3. Learn lean to use it properly.

54 followers105 following120 posts

Gentle timely reminder since the STOC deadline is coming up

Shreyas Srinivas@lean-samaritan.bsky.social

If you are formalizing anything in lean and you are not a foundations expert, please avoid using axioms at all costs. A formalization with axioms is almost always fatally flawed. At that point it is a net negative for the community. #Algorithms #AlgorithmsTheory #Lean4

I think Tom Hales's guest post on "What's new" might have overstated the issue with lean kernel bugs: You are orders of magnitude more likely to have a bug in your informal proof or lean statements than end up exploiting a kernel bug in lean (+ other ITPs). #Mathsky #AlgorithmsTheory #CSTheory

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“The companies developing these sociotechnical systems aim to establish a private monopoly over cognition and knowledge, built on the plunder of the entirety of humanity’s cultural, textual, and visual output.”

Frank Pasquale@frankpasquale.bsky.social

The math dump’s main “purpose is to produce an effect of propaganda and stupefaction, relying on scientific illiteracy and on its uncritical amplification by the media echo chamber. To produce its propaganda effect, it erases…hundreds of researchers…” europeanreviewofbooks.com/the-spectacl...

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Replying to @marisozols.bsky.social

In the end I didn't get to solve the problem, but at least I formalized a full solution by combining all the ingredients (including an idelic construction of narrow ray class fields for real quadratic fields... 😎). Have a look at my repo if you find this stuff interesting! github.com/marozols/SIC...

github.comGitHub - marozols/SIC-existence: Formal Lean proof of SIC existence in every dimensionFormal Lean proof of SIC existence in every dimension - marozols/SIC-existence

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New fraud dropped: arxiv.org/abs/2610.10072 > The result is also contained in a paper released by OpenAI on October 6, 2026, in which the proof strategy and specific choices of notation are identical to a preliminary version of the present paper that was uploaded to ChatGPT on September 8, 2026.

arxiv.orgInvariant Primes in Lubin-Tate Space and Hovey-Strickland at Every HeightLet $H_n$ be the one-dimensional Honda formal group of height $n$ over $\mathbf F_{p^n}$ and let \[ R_n=W(\mathbf F_{p^n})[[u_1,\ldots,u_{n-1}]],\qquad A_n=R_n/(p). \] We prove, for every height $n$ a...

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Me: Ahh! new “almost-linear time matching algorithm” … can we implement it? Codex: No. It just uses a normal algorithm for anything with less than ~10^(30000000000000000000000) vertices. Me: Oh, my graphs aren’t that big.

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TCS in a nutshell? 🙊

David Gleich@dgleich.bsky.social

Me: Ahh! new “almost-linear time matching algorithm” … can we implement it? Codex: No. It just uses a normal algorithm for anything with less than ~10^(30000000000000000000000) vertices. Me: Oh, my graphs aren’t that big.

Shreyas Srinivas reposted

Replying to @colin-fraser.net

well, I just used OpenRouter to send 20 12x12 addition questions to GLM-4.7, an open source Chinese model, and it returned correct sums in every case.

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Replying to @colin-fraser.net

I am sort of constantly baffled by critics (which I am, more than not!) who don't feel like they have to stay apprised of what these things can actually do. not least you're going to come off like a fool, but also it's not at all like knowing what they can do obviates the criticisms of them?

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I am not sure how to feel about this. One the one hand, if Anthropic is asking researchers to look at their pdfs then yeah compensation seems justified

Taylor Smith@taylorjsmith.bsky.social

By the way, even as I work through this paper, this little tucked-away paragraph didn't escape me. I'm not a fan of AI companies now trying to launder their proofs through humans. I fear this is going to taint the result, which is a shame given the otherwise-stellar reputation of the human authors.

If you are formalizing anything in lean and you are not a foundations expert, please avoid using axioms at all costs. A formalization with axioms is almost always fatally flawed. At that point it is a net negative for the community. #Algorithms #AlgorithmsTheory #Lean4

Shreyas Srinivas reposted

As the possibly apocryphal quote from pioneering computer scientist Edsger Dijkstra goes: Computer science is no more about computers than astronomy is about telescopes. In this week’s Qualia column, writer Ben Brubaker goes deep on whether it’s fair. www.quantamagazine.org/does-compute...

quantamagazine.orgDoes Computer Science Need Computers? | Quanta MagazineThe theoretical side of the field doesn’t require computing machines. But many questions would never have been posed without them.

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"We're all worried," as what it means to do research (in my field, Theoretical CS) seems to be shifting, and shifting fast. What to do? Senior researchers must lead by example, knowing that not everything will pan out. What I'm suggesting below may not work everywhere, but here's my own advice: 1/

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Open Printer: an open-source inkjet printer with no DRM, no subscriptions, and repairable parts. Sometimes the best innovation is just making things work the way they should have all along.

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You likely have a world model running inside your skull right now — it’s how you know not to step in front of a moving train without needing to run the experiment first. So far, AI lacks such a scaled-down representation of the environment.

quantamagazine.org‘World Models,’ an Old Idea in AI, Mount a Comeback | Quanta MagazineYou’re carrying around in your head a model of how the world works. Will AI systems need to do the same?

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