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← The pace of progress in AI, and in science as a whole, should be expected to speed up in the coming years.
17 connected korrents · 19 moments from 1 Sept 2018 to 19 Oct 2026.
Everything filed under innovation
innovation
Everything filed under mathematics
mathematics
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
Everything filed under AGI
AGI
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Read this korrent: The pace of progress in AI, and in science as a whole, should be expected to speed up in the coming years.
The pace of progress in AI, and in science as a whole, should be expected to speed up in the coming years.
Last stated 2 weeks ago
19 Oct 2026
JC
Jack Clark — holds since 2026-10-19 — tap for who they are
Same subject: AI systems built to automate science may be about to dramatically speed up the pace of scientific discovery. — tap to centre the map on it
AI systems built to automate science may be about to dramatically speed up the pace of scientific discovery.
Last stated a month ago
28 Sept 2026
JC
Jack Clark — holds since 2026-09-28 — tap for who they are
Same subject: AI progress from 2024 to 2026 has been faster than the progress seen from 2022 to 2024. — tap to centre the map on it
AI progress from 2024 to 2026 has been faster than the progress seen from 2022 to 2024.
Last stated 6 months ago
28 Apr 2026
KP
Kelsey Piper — holds since 2026-04-28 — 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 2 months ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: Once AI can do AI research, a single year should deliver four or five years worth of AI progress. — tap to centre the map on it
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Last stated 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Not every bottleneck on medical progress is one AI can remove, and which ones will remain can be guessed at now. — tap to centre the map on it
Not every bottleneck on medical progress is one AI can remove, and which ones will remain can be guessed at now.
Last stated a year ago
2 Aug 2025
JT
Jacob Trefethen — holds since 2025-08-02 — tap for who they are
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: The progress of AI, like the progress of everything else, will eventually plateau. — tap to centre the map on it
The progress of AI, like the progress of everything else, will eventually plateau.
Last stated 8 years ago
1 Sept 2018
PD
Pedro Domingos — holds since 2018-09-01 — tap for who they are
Same subject: The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. — tap to centre the map on it
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
Last stated a month ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — 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 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 8 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 4 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 4 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 5 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 3 months ago
21 Jul 2026
RT
Ruxandra Teslo — holds since 2026-07-21 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are
At the centre
The pace of progress in AI, and in science as a whole, should be expected to speed up in the coming years.
Last stated 19 Oct 2026 · 2 weeks ago
Holds Jack Clark
Read this korrent →
Similar wording
AI systems built to automate science may be about to dramatically speed up the pace of scientific discovery.
Last stated 28 Sept 2026 · a month ago
Holds Jack Clark
Similar wording
AI progress from 2024 to 2026 has been faster than the progress seen from 2022 to 2024.
Last stated 28 Apr 2026 · 6 months ago
Holds Kelsey Piper
Similar wording
The current speed of AI progress could be sustained all the way into recursive self-improvement.
Last stated 6 Sept 2026 · 2 months ago
Holds Jakub Pachocki
Similar wording
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Last stated 11 Aug 2026 · 3 months ago
Holds Ryan Greenblatt
Similar wording
Not every bottleneck on medical progress is one AI can remove, and which ones will remain can be guessed at now.
Last stated 2 Aug 2025 · a year ago
Holds Jacob Trefethen
Similar wording
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Last stated 2 Feb 2025 · 2 years ago
Holds Ajeya Cotra Scott Alexander Miles Brundage
Similar wording
The progress of AI, like the progress of everything else, will eventually plateau.
Last stated 1 Sept 2018 · 8 years ago
Holds Pedro Domingos
Similar wording
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
Last stated 22 Sept 2026 · a month ago
Holds Nathan Lambert
Same subject: protein structure prediction
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 30 Jul 2026 · 3 months ago
Holds Jeff Dean
Same subject: protein structure prediction
Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility.
Last stated 15 Jul 2021 · 5 years ago
Holds Demis Hassabis
Same subject: protein structure prediction
Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence.
Last stated 29 Jun 2025 · a year ago
Holds Elliot Hershberg
Same subject: mathematics
A persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock.
Last stated 3 Mar 2026 · 8 months ago
Holds Sanjay Bakshi
Same subject: mathematics
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Last stated 30 Jun 2026 · 4 months ago
Holds Grant Sanderson
Same subject: mathematics
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 30 Jun 2026 · 4 months ago
Holds Grant Sanderson
Same subject: innovation
"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 25 Oct 2023 · 3 years ago
Holds Anton Howes
Same subject: innovation
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 2 Jun 2026 · 5 months ago
Holds Justin Jackson
Same subject: innovation
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 21 Jul 2026 · 3 months ago
Holds Ruxandra Teslo