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Ben Diamond

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@benediamond

Turning the Hodge conjecture into an Erdős problem at @hodgecomputer.
New York benediamond.github.io Joined December 2021
140 Following 670 Followers 232 Posts

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Ben Diamond Verified account @benediamond
Introducing hodge.computer: the first multiplayer open research challenge aiming to solve a case of the generalized Hodge conjecture.

Erdős problems can be stated using just simple objects: integers, sets, etc. This makes them amenable to attack using AI.

HC is not so. Its very statement involves deep objects, many of which are not even formalized in Lean (at least until recently): rational Betti cohomology of smooth projective varieties, complex differential forms and the Hodge decomposition, the cycle class map, etc.

My mission is to turn the Hodge conjecture into an Erdős problem. Today, I am beginning with a special case: the GHC for the invariant Hodge substructure H ⊂ H⁴(X, ℚ) in sextic fourfolds X ⊂ ℙ⁵ with an involution. Voisin first isolated this subcase; recent mathematical work on my part has made its prediction computationally effective.

To my knowledge, this is the first computational attack, of any kind, on any case of the generalized Hodge conjecture.

Math is undergoing a revolution (see quoted tweet for more remarks). Calling all enthusiasts and hobbyists! Calling all engineers! And academics, you too :) This is now your time to contribute to the single most fascinating problem in algebraic geometry. Let's go.
hodge.computer hodge.computer Open autoresearch targeting the generalized Hodge conjecture for sextic fourfolds with an involution.
Hodge Labs Verified account @hodgecomputer Oct 16
Both sides are right. Math must adapt in the AI era. But it also must preserve the standards of stewardship, mentorship and communication that have made mathematics humankind's premier intellectual undertaking.

Today, we are announcing hodge.computer, the first open autoresearch initiative targeting a special case of the generalized Hodge conjecture.

We believe that mathematics will increasingly be conducted in massively multiplayer, digitally coordinated research programs, with each individual contribution verified by Lean, and progress collected in a central, public leaderboard. At the same time, each such project needs a human mathematician who has pledged to accept responsibility for the cultivation and crystallization of all knowledge that ensues from the project, as well as the identification and crediting of all relevant prior work.

Early predecessors of this model can be found at least as far back as the Polymath projects of Gowers, Tao and their collaborators. More recently, erdosproblems.com has resoundingly demonstrated the viability of this research model.

The problem is that much of math—and Hodge theory perhaps most of all—is hard to formalize, and hard to make incremental progress on.

Thus, in the AI era, the most important task for a mathematician may well shift from

> can you solve this problem?

to

> can you reëxpress this problem in an equivalent form, which in turn is computationally effective?

The latter being done, we can subject the problem at hand to a massive open autoresearch program.

hodge.computer targets the GHC for the involution-invariant Hodge structure H ⊂ H⁴(X, ℚ), where X ⊂ ℙ⁵ is a smooth sextic hypersurface preserved by the involution on ℙ⁵ that changes the signs of three homogeneous coordinates. This important GHC subcase has been isolated and championed by Voisin. Recent work of Diamond has translated the prediction at issue into a computationally explicit form. We launch with 42 verified certificates and 19 open targets.

Now, everyone can contribute to the most fascinating problem in all of algebraic geometry. Visit hodge.computer for background and contribution instructions; feel free also to join our Discord.
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Ben Diamond Verified account @benediamond
great essay.

> I see professors warning that because of AI, we might “lose an entire generation of mathematicians”, while others decry that AI will reduce math from a profession to a mere “hobby” done in people’s spare time. Where was this panic when the academic job market was throwing away the vast majority of every graduating PhD class for decades? And why is doing math in your spare time, for zero money and zero career credit, treated with such contempt?

I literally just made this point!
Constantin Kogler Verified account @ConstantinKogl Nov 5
I liked this essay by an anonymous PhD student.

We should make room for as many people as possible in the maths community.

If anyone works hard to understand the frontier, even with having an unrelated full time job, we should value their work.

proofsandprompts.com/2026/11/05/im-…
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Ben Diamond Verified account @benediamond
excited to have joined forces in this way! and to get a bit of increased exposure for Hodge.

more eyes on this problem == good!
Hodge Labs Verified account @hodgecomputer 6d
@hodgecomputer has partnered with @prove2memath!

@prove2memath is an exciting platform for crowdsourced math formalization; they were used in an essential way by Anthropic during their formalization of FLT.

see our collection of cross-listed "missions": prove2.me/collections/ho…!
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Ben Diamond Verified account @benediamond
interesting take, with which I agree.

too much discourse has viewed "ai capability" and "mathematical training" as at odds with each other, zero-sum.

very few people are talking about the superpower of having both.
∞-modal Noah Verified account @NoahChrein Nov 5
you guys need to understand something man, this convex hull thing is real. There are theorems that could have been proven if the exact combination of theorists and objectives existed to develop them, in the standard literature.

Sometimes you need to invent new math. Sometimes you need to piece together disparate standard mathematics. Working with LLMs, and the general process of the world's compute being used to fill the convex hull, removes that latter requirement.

All thats left lies outside of the convex hull. Do you see how massively this favors trained mathematicians?
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Ben Diamond Verified account @benediamond
I struggle to sympathize with the catastrophizing discourse about how the holy wholesome mentorship guild that once was mathematics is now in critical danger.

fact is, before AI, academic math was brutally competitive, with legions of PhDs who wanted to become professors unable. mentorship there was indeed—but also a critical shortage of positions and a glut of supply.

a move that eases that glut and makes competition less fierce actually seems to be a move in the right direction, in my book.

oh, and by the way, soon you might find academic halls populated not with "old rotting corpses" but with young, excited, ai-aligned mathematicians.
Другая планета Verified account @nihilunbounded Oct 30
Very important study to make note of if you're a senior mathematician, especially if you're an AI-accelerated researcher. What's the point of existence of a department populated by old rotting corpses with no one left to hold out a candle for the future?
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