Tap a claim on the ring to put it at the centre.
← If AIs prove all theorems, current methods of gaining mathematical understanding will stop working.
17 connected korrents · 15 moments from 15 Jul 2021 to 9 Oct 2026. Nearly all of them are about mathematics .
Everything filed under formal proof
formal proof
Everything filed under protein structure prediction
protein structure prediction
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under AI and science
AI and science Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: If AIs prove all theorems, current methods of gaining mathematical understanding will stop working. If AIs prove all theorems, current methods of gaining mathematical understanding will stop working. Last stated today
9 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-09 — tap for who they are
Same subject: A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. — tap to centre the map on it A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: He used to think explaining AI's results would be the mathematician's remaining job; he now expects AI to explain better than most humans, so that is not what is left. — tap to centre the map on it He used to think explaining AI's results would be the mathematician's remaining job; he now expects AI to explain better than most humans, so that is not what is left. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI will increasingly produce mathematical proofs, just as it already writes most code. — tap to centre the map on it AI will increasingly produce mathematical proofs, just as it already writes most code. Last stated 4 weeks ago
11 Sept 2026
DL
Daniel Lemire — holds since 2026-09-11 — tap for who they are
Same subject: Current AI4Math systems largely operate as solvers of isolated, well-defined proofs rather than as researchers that expand mathematical knowledge. — tap to centre the map on it Current AI4Math systems largely operate as solvers of isolated, well-defined proofs rather than as researchers that expand mathematical knowledge. Last stated 3 months ago
8 Jul 2026
TT
Terence Tao — holds since 2026-07-08 — tap for who they are
Same subject: Everything we build — every proof, every Nobel Prize, every idea, even the AI — will eventually be erased, which is why the near term matters. — tap to centre the map on it Everything we build — every proof, every Nobel Prize, every idea, even the AI — will eventually be erased, which is why the near term matters. Last stated a year ago
5 May 2025
JL
Janna Levin — holds since 2025-05-05 — tap for who they are
Same subject: Mathematics alone can be left running: point a prover at a formal library, walk away for ten years, and there will be something there when you come back. — tap to centre the map on it Mathematics alone can be left running: point a prover at a formal library, walk away for ten years, and there will be something there when you come back. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: Most of the value that mathematics and mathematicians contribute to the world will not be replaced by AI, though it could be magnified by it. — tap to centre the map on it Most of the value that mathematics and mathematicians contribute to the world will not be replaced by AI, though it could be magnified by it. Last stated 2 weeks ago
26 Sept 2026
TT
Terence Tao — holds since 2026-09-26 — tap for who they are
Same subject: His prediction that research-level mathematics papers would be written in collaboration with AI by 2026 has already come true. — tap to centre the map on it His prediction that research-level mathematics papers would be written in collaboration with AI by 2026 has already come true. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. — tap to centre the map on it Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. — tap to centre the map on it Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. Last stated a year ago
29 Jun 2025
EH
Elliot Hershberg — holds since 2025-06-29 — tap for who they are
Same subject: A test checks a handful of examples; a proof settles an infinite state space, which is why formal methods can say things testing never can. — tap to centre the map on it A test checks a handful of examples; a proof settles an infinite state space, which is why formal methods can say things testing never can. Last stated 6 months ago
22 Apr 2026
MK
Martin Kleppmann — holds since 2026-04-22 — tap for who they are
Same subject: AI is making formal methods more popular without making them mainstream, moving them from about a tenth of a per cent of engineers to three tenths. — tap to centre the map on it AI is making formal methods more popular without making them mainstream, moving them from about a tenth of a per cent of engineers to three tenths. Last stated 2 months ago
29 Jul 2026
HW
Hillel Wayne — holds since 2026-07-29 — tap for who they are
Same subject: AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck. — tap to centre the map on it AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck. Last stated 6 months ago
22 Apr 2026
MK
Martin Kleppmann — holds since 2026-04-22 — tap for who they are
Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. Last stated 2 weeks ago
22 Sept 2026
TC
Tyler Cowen — holds since 2026-09-22 — tap for who they are
Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. Last stated 2 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are
Same subject: AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
At the centre
If AIs prove all theorems, current methods of gaining mathematical understanding will stop working.
Holds Read this korrent →
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Holds
He used to think explaining AI's results would be the mathematician's remaining job; he now expects AI to explain better than most humans, so that is not what is left.
Holds
AI will increasingly produce mathematical proofs, just as it already writes most code.
Holds
Current AI4Math systems largely operate as solvers of isolated, well-defined proofs rather than as researchers that expand mathematical knowledge.
Holds
Everything we build — every proof, every Nobel Prize, every idea, even the AI — will eventually be erased, which is why the near term matters.
Holds
Mathematics alone can be left running: point a prover at a formal library, walk away for ten years, and there will be something there when you come back.
Holds
Most of the value that mathematics and mathematicians contribute to the world will not be replaced by AI, though it could be magnified by it.
Holds
His prediction that research-level mathematics papers would be written in collaboration with AI by 2026 has already come true.
Holds
A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.
Holds
Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility.
Holds
Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence.
Holds
A test checks a handful of examples; a proof settles an infinite state space, which is why formal methods can say things testing never can.
Holds
AI is making formal methods more popular without making them mainstream, moving them from about a tenth of a per cent of engineers to three tenths.
Holds
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.
Holds
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
Holds
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Holds
AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033.
Holds