Tap a claim on the ring to put it at the centre.
← As AI systems get better at scientific research tasks, it becomes more…
17 connected korrents · 18 moments from 15 Jul 2021 to 22 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under innovation
innovation
Everything filed under mathematics
mathematics
Everything filed under protein structure prediction
protein structure prediction
Everything filed under LLMs
LLMs
Everything filed under AGI
AGI 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: As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves. As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves. Last stated 2 months ago
17 Aug 2026
JC
Jack Clark — holds since 2026-08-17 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated 12 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. — tap to centre the map on it The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output. Last stated a week ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: Agentic AI systems for autonomously carrying out scientific research are still at a very early stage of development. — tap to centre the map on it Agentic AI systems for autonomously carrying out scientific research are still at a very early stage of development. Last stated 3 months ago
21 Jun 2026
EH
Elliot Hershberg — holds since 2026-06-21 — tap for who they are
Same subject: Recursive self-improvement has already started, because AI research itself is now being automated. — tap to centre the map on it Recursive self-improvement has already started, because AI research itself is now being automated. Last stated 3 weeks ago
13 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-13 — tap for who they are
JL
Jan Leike — holds since 2026-01-22 — tap for who they are
Same subject: An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. — tap to centre the map on it An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: AI systems are better than humans at coordinating with each other, and they move much faster than humans do. — tap to centre the map on it AI systems are better than humans at coordinating with each other, and they move much faster than humans do. Last stated a month ago
31 Aug 2026
JC
Jack Clark — holds since 2026-08-31 — tap for who they are
Same subject: The current speed of AI progress could be sustained all the way into recursive self-improvement. — tap to centre the map on it The current speed of AI progress could be sustained all the way into recursive self-improvement. Last stated 4 weeks ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. — tap to centre the map on it Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking. Last stated 2 months ago
3 Aug 2026
JC
Jack Clark — holds since 2026-08-03 — 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 persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock. — tap to centre the map on it A persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock. Last stated 7 months ago
3 Mar 2026
SB
Sanjay Bakshi — holds since 2026-03-03 — 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: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. — tap to centre the map on it "Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible. Last stated 3 years ago
25 Oct 2023
AH
Anton Howes — holds since 2023-10-25 — tap for who they are
Same subject: A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. — tap to centre the map on it A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. Last stated 4 months ago
2 Jun 2026
JJ
Justin Jackson — holds since 2026-06-02 — tap for who they are
Same subject: A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. — tap to centre the map on it A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves. Last stated 2 months ago
21 Jul 2026
RT
Ruxandra Teslo — holds since 2026-07-21 — tap for who they are
At the centre
As AI systems get better at scientific research tasks, it becomes more likely they will soon be capable of improving and building themselves.
Holds Read this korrent →
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
The pace of AI research progress is difficult to measure and may not directly translate to a proportional increase in overall scientific understanding or company output.
Holds
Agentic AI systems for autonomously carrying out scientific research are still at a very early stage of development.
Holds
Recursive self-improvement has already started, because AI research itself is now being automated.
Holds
An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario.
Holds
AI systems are better than humans at coordinating with each other, and they move much faster than humans do.
Holds
The current speed of AI progress could be sustained all the way into recursive self-improvement.
Holds
Today's AI systems are highly capable at engineering but lack the intuitive creativity needed to be good researchers, tending toward rote, formulaic thinking.
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 persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock.
Holds
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
"Lots of anonymous people worked it out by trial and error" is never the real story of an invention: on closer investigation, identifiable people always turn out to be responsible.
Holds
A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use.
Holds
A capability existing is not the same as a capability being absorbed: how fast a technology changes the world is not set by how fast the technology improves.
Holds