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← The mathematical problems whose solutions have not yet been invented…
17 connected korrents · 15 moments from 15 Jul 2021 to 10 Oct 2026.
Everything filed under mathematics
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 agents
AI agents
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: The mathematical problems whose solutions have not yet been invented will be solved by humans working alongside AI, not by either alone. The mathematical problems whose solutions have not yet been invented will be solved by humans working alongside AI, not by either alone. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: Hybrid human-plus-AI teams will dominate mathematics for a lot longer, and a full replacement would need breakthroughs beyond anything we now have. — tap to centre the map on it Hybrid human-plus-AI teams will dominate mathematics for a lot longer, and a full replacement would need breakthroughs beyond anything we now have. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI agents have not yet produced anything genuinely new or important in mathematics. — tap to centre the map on it AI agents have not yet produced anything genuinely new or important in mathematics. Last stated 3 months ago
26 Jul 2026
PW
Peter Woit — holds since 2026-07-26 — tap for who they are
Same subject: Hybrid human-AI approaches will probably become more common at the edges of AI as agents try to tackle real-world tasks. — tap to centre the map on it Hybrid human-AI approaches will probably become more common at the edges of AI as agents try to tackle real-world tasks. Last stated 4 weeks ago
23 Sept 2026
MS
M.G. Siegler — holds since 2026-09-23 — 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: It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it. — tap to centre the map on it It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: This decade, AI could propose a conjecture connecting two things nobody thought were related, with a real chance of it being correct and meaningful. — tap to centre the map on it This decade, AI could propose a conjecture connecting two things nobody thought were related, with a real chance of it being correct and meaningful. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. — tap to centre the map on it What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: If AI invents math with clear practical application, it will be used without being understood. — tap to centre the map on it If AI invents math with clear practical application, it will be used without being understood. Last stated 2 weeks ago
10 Oct 2026
NS
Noah Smith — holds since 2026-10-10 — 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 3 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 3 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 4 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 3 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
The mathematical problems whose solutions have not yet been invented will be solved by humans working alongside AI, not by either alone.
Holds Read this korrent →
Hybrid human-plus-AI teams will dominate mathematics for a lot longer, and a full replacement would need breakthroughs beyond anything we now have.
Holds
AI agents have not yet produced anything genuinely new or important in mathematics.
Holds
Hybrid human-AI approaches will probably become more common at the edges of AI as agents try to tackle real-world tasks.
Holds
His prediction that research-level mathematics papers would be written in collaboration with AI by 2026 has already come true.
Holds
It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it.
Holds
This decade, AI could propose a conjecture connecting two things nobody thought were related, with a real chance of it being correct and meaningful.
Holds
What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use.
Holds
If AI invents math with clear practical application, it will be used without being understood.
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