Tap a claim on the ring to put it at the centre.
← Humans are no longer the sole producers of math that is…
17 connected korrents · 15 moments from 15 Jul 2021 to 8 Oct 2026. Nearly all of them are about mathematics .
Everything filed under AI and science
AI and science
Everything filed under evolutionary biology
evolutionary biology
Everything filed under formal proof
formal proof
Everything filed under AI agents
AI agents 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: Humans are no longer the sole producers of math that is incomprehensible to others and potentially incorrect Humans are no longer the sole producers of math that is incomprehensible to others and potentially incorrect Last stated yesterday
8 Oct 2026
NS
Noah Smith — holds since 2026-10-08 — tap for who they are
Same subject: That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental. — tap to centre the map on it That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — 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: 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: 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 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: Programmers fail to recognise how much mathematics their job uses because the mathematics it needs is discrete and school teaches the continuous kind. — tap to centre the map on it Programmers fail to recognise how much mathematics their job uses because the mathematics it needs is discrete and school teaches the continuous kind. Last stated 2 months ago
29 Jul 2026
HW
Hillel Wayne — holds since 2026-07-29 — 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: 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 2 months ago
26 Jul 2026
PW
Peter Woit — holds since 2026-07-26 — tap for who they are
Same subject: A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. — tap to centre the map on it A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. Last stated 2 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — tap for who they are
Same subject: A selection signal can be validated without a significance threshold, by measuring how far it is enriched for mutations an entirely independent study says affect a trait. — tap to centre the map on it A selection signal can be validated without a significance threshold, by measuring how far it is enriched for mutations an entirely independent study says affect a trait. Last stated 5 months ago
8 May 2026
DR
David Reich — holds since 2026-05-08 — tap for who they are
Same subject: Adaptive evolution tends to achieve even a simple, fixed objective through complicated behavior. — tap to centre the map on it Adaptive evolution tends to achieve even a simple, fixed objective through complicated behavior. Last stated 4 months ago
4 Jun 2026
SW
Stephen Wolfram — holds since 2026-06-04 — tap for who they are
Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — 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
At the centre
Humans are no longer the sole producers of math that is incomprehensible to others and potentially incorrect
Holds Read this korrent →
That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental.
Holds
His prediction that research-level mathematics papers would be written in collaboration with AI by 2026 has already come true.
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
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
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
Programmers fail to recognise how much mathematics their job uses because the mathematics it needs is discrete and school teaches the continuous kind.
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
AI agents have not yet produced anything genuinely new or important in mathematics.
Holds
A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.
Holds
A selection signal can be validated without a significance threshold, by measuring how far it is enriched for mutations an entirely independent study says affect a trait.
Holds
Adaptive evolution tends to achieve even a simple, fixed objective through complicated behavior.
Holds
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
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