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← The pace of AI research progress is difficult to measure and may not…
17 connected korrents · 17 moments from 12 Sept 2022 to 22 Sept 2026.
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scaling laws 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 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. 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: 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: Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them. — tap to centre the map on it Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existing AI models are barely being used and are often not even well understood. Last stated 2 weeks ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — tap for who they are
Same subject: The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. — tap to centre the map on it The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — 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 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Scaling up spending on expert human data has not been a major driver of progress in AI research. — tap to centre the map on it Scaling up spending on expert human data has not been a major driver of progress in AI research. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. — tap to centre the map on it There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently. — tap to centre the map on it A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: Drug discovery has become less efficient over time despite continued technological progress. — tap to centre the map on it Drug discovery has become less efficient over time despite continued technological progress. Last stated 8 months ago
18 Jan 2026
EH
Elliot Hershberg — holds since 2026-01-18 — tap for who they are
Same subject: Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery. — tap to centre the map on it Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: No technology, including drug discovery technologies, is immune to the eventual pull toward commoditization. — tap to centre the map on it No technology, including drug discovery technologies, is immune to the eventual pull toward commoditization. Last stated 2 years ago
16 Mar 2025
EH
Elliot Hershberg — holds since 2025-03-16 — 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 startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 4 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
At the centre
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 Read this korrent →
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them.
Holds
The current capabilities of existing AI models are barely being used and are often not even well understood.
Holds
The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists.
Holds
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
Scaling up spending on expert human data has not been a major driver of progress in AI research.
Holds
There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently.
Holds
Drug discovery has become less efficient over time despite continued technological progress.
Holds
Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery.
Holds
No technology, including drug discovery technologies, is immune to the eventual pull toward commoditization.
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 startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds