Parts of the math community, such as Henry Cohn and Grant Sanderson, are arguingthat proofs have been a proxy for understanding, and now that proxy is broken. This is a response to LMs generating incomprehensible proofs, often formalized in Lean. While the proofs are verified, they lack the pedagogical value which has historically come along with new proofs. In the past we could typically assume at least one human in the world understood the novel insight required to produce a proof[1], but that assumption no longer holds.
I suspect we will need a new class of statement which contains statements which are proved but not understood, something the mathematical community can formally recognize as a contribution to the field. The understanding gives us the tools to do math, and the proof verifies that our understanding is correct, so we should ensure we have the language to communicate the state of both.
For now I will call this class of statement a compertum (Latin, neuter of compertus, ascertained; from comperire, to find out for certain). A conjecture is from the Latin conicere, to throw together: an inference assembled from the evidence. A theorem is from the Greek theōrēma, that which is looked at or beheld, from the same root as theory and theater. A compertum is something ascertained but not yet beheld, logically sitting between a conjecture and a theorem, a statement whose truth is known but not yet understood. I am curious what name the community lands on.
A recently resolved Erdős conjecture is a good example of a statement which moved from a conjecture to a compertum to a theorem. In April, Liam Price prompted GPT-5.4 Pro with Erdős Problem 1196 (a conjecture) and posted the resulting proof sketch to the Erdős Problems forum. The sketch was correct, and was then formalized in Lean (now a compertum), but the proof strategy was unfamiliar to people who had worked on the problem. In May, a paper by Alexeev, Lichtman, Tao, and five coauthors converted the sketch into a general method that the authors could explain and reuse (now a theorem), and with it proved a second Erdős conjecture and created a short new proof of the Erdős Primitive Set Conjecture. The transition from compertum to theorem was significant even though the statement was already proved: the understanding produced proofs for other problems.
One difficulty is measuring when a proof is understood, identifying that threshold for when a compertum passes into being a theorem. If we want to keep with the historical measure, as long as a person can write a correct proof on their own, then we know at least one person understands the proof. I think an interesting alternative would be an explainer (paper, blog, video, etc.) from which a peer reviewer can write a formal proof.
How exactly we define the threshold between this new class of statement and a theorem needs more thought, but I expect the existence of a new class of statement will become increasingly useful as proofs become increasingly opaque.
There have been computer-assisted proofs in the past, such as the Four Color Theorem and Hales's proof of the Kepler conjecture. In those cases a human reduced the problem to a large number of simple cases, which a computer then checked. That is closer to using a computer as a calculator than to a computer generating the insight a proof requires. This is a continuum, of course. Computers are now used for everything from evaluating expressions to finding and applying techniques from distant areas of math.
We also have proofs which are the result of such large collaborations that no individual understands the whole proof, such as the classification of finite simple groups. This looks similar to mathematics as a whole: no person understands the entire field, but each step between lemmas and theorems is understood.
In all seriousness, though, I do wonder how much we can learn from the stylistic differences between human and LLM proofs, themselves. I also keep coming back to the analogy of Newton translating his calculus-based insights into traditional geometry proofs and how confusing that was for the ~50 years until Euler's Mechanica. I mean, it's entirely likely that LLM proofs like what we're seeing really are actually a result of brute force - the ability to just add more compute is a big deal. But I don't see anyone really even asking whether the LLMs may have stumbled upon some deeper regularity that neither we nor they know how to communicate in human (natural or formal) language. How, and when, would we know?
I find this reaction from the research math community ironic. Their pedagogy and writing is filled with incomprehensible proofs. Why are they so much more concerned about the gap from humans understanding than the gap from ? This problem they are encountering should have been solved decades ago—was solved in the competition math community—but they only care to solve it now that it personally effects them.
Parts of the math community, such as Henry Cohn and Grant Sanderson, are arguing that proofs have been a proxy for understanding, and now that proxy is broken. This is a response to LMs generating incomprehensible proofs, often formalized in Lean. While the proofs are verified, they lack the pedagogical value which has historically come along with new proofs. In the past we could typically assume at least one human in the world understood the novel insight required to produce a proof[1], but that assumption no longer holds.
I suspect we will need a new class of statement which contains statements which are proved but not understood, something the mathematical community can formally recognize as a contribution to the field. The understanding gives us the tools to do math, and the proof verifies that our understanding is correct, so we should ensure we have the language to communicate the state of both.
For now I will call this class of statement a compertum (Latin, neuter of compertus, ascertained; from comperire, to find out for certain). A conjecture is from the Latin conicere, to throw together: an inference assembled from the evidence. A theorem is from the Greek theōrēma, that which is looked at or beheld, from the same root as theory and theater. A compertum is something ascertained but not yet beheld, logically sitting between a conjecture and a theorem, a statement whose truth is known but not yet understood. I am curious what name the community lands on.
A recently resolved Erdős conjecture is a good example of a statement which moved from a conjecture to a compertum to a theorem. In April, Liam Price prompted GPT-5.4 Pro with Erdős Problem 1196 (a conjecture) and posted the resulting proof sketch to the Erdős Problems forum. The sketch was correct, and was then formalized in Lean (now a compertum), but the proof strategy was unfamiliar to people who had worked on the problem. In May, a paper by Alexeev, Lichtman, Tao, and five coauthors converted the sketch into a general method that the authors could explain and reuse (now a theorem), and with it proved a second Erdős conjecture and created a short new proof of the Erdős Primitive Set Conjecture. The transition from compertum to theorem was significant even though the statement was already proved: the understanding produced proofs for other problems.
One difficulty is measuring when a proof is understood, identifying that threshold for when a compertum passes into being a theorem. If we want to keep with the historical measure, as long as a person can write a correct proof on their own, then we know at least one person understands the proof. I think an interesting alternative would be an explainer (paper, blog, video, etc.) from which a peer reviewer can write a formal proof.
How exactly we define the threshold between this new class of statement and a theorem needs more thought, but I expect the existence of a new class of statement will become increasingly useful as proofs become increasingly opaque.
There have been computer-assisted proofs in the past, such as the Four Color Theorem and Hales's proof of the Kepler conjecture. In those cases a human reduced the problem to a large number of simple cases, which a computer then checked. That is closer to using a computer as a calculator than to a computer generating the insight a proof requires. This is a continuum, of course. Computers are now used for everything from evaluating expressions to finding and applying techniques from distant areas of math.
We also have proofs which are the result of such large collaborations that no individual understands the whole proof, such as the classification of finite simple groups. This looks similar to mathematics as a whole: no person understands the entire field, but each step between lemmas and theorems is understood.