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← Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them.
17 connected korrents · 15 moments from 14 Jul 2018 to 27 Sept 2026.
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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: Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them. 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: AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter. — tap to centre the map on it AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — 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: 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: 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: People often think that collaborating with AI takes something more advanced than is actually needed. — tap to centre the map on it People often think that collaborating with AI takes something more advanced than is actually needed. Last stated 7 months ago
12 Mar 2026
JP
Josh Puckett — holds since 2026-03-12 — tap for who they are
Same subject: Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. — tap to centre the map on it Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. Last stated 6 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. — tap to centre the map on it Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. Last stated 8 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. — tap to centre the map on it AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A few senior individual contributors can be paid VP money and still cost less than the layered product org they replace. — tap to centre the map on it A few senior individual contributors can be paid VP money and still cost less than the layered product org they replace. Last stated 3 months ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: A functionally organised engineering team seizes up at around a hundred people, because every feature then has to be negotiated against every other team's bandwidth. — tap to centre the map on it A functionally organised engineering team seizes up at around a hundred people, because every feature then has to be negotiated against every other team's bandwidth. Last stated 7 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — tap for who they are
Same subject: A group of fewer than four people is not a team: it behaves like a set of individuals, and a single departure knocks it back into maintenance. — tap to centre the map on it A group of fewer than four people is not a team: it behaves like a set of individuals, and a single departure knocks it back into maintenance. Last stated 8 years ago
14 Jul 2018
WL
Will Larson — holds since 2018-07-14 — tap for who they are
Same subject: AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish. — tap to centre the map on it AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish. Last stated 2 years ago
25 Mar 2025
JZ
Julie Zhuo — holds since 2025-03-25 — tap for who they are
Same subject: AI-branded layoffs are not about AI; they are about badly run companies putting an AI label on having hired too many people. — tap to centre the map on it AI-branded layoffs are not about AI; they are about badly run companies putting an AI label on having hired too many people. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: An engineering manager should support six to eight engineers: fewer and they drift into being a tech lead, more and they can only be a coach. — tap to centre the map on it An engineering manager should support six to eight engineers: fewer and they drift into being a tech lead, more and they can only be a coach. Last stated 8 years ago
14 Jul 2018
WL
Will Larson — holds since 2018-07-14 — tap for who they are
Same subject: AI gives an individual contributor so much leverage that one very senior product manager beats three entry-level ones. — tap to centre the map on it AI gives an individual contributor so much leverage that one very senior product manager beats three entry-level ones. Last stated 3 months ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: With AI handling routine tasks, the high-value human work of understanding client needs and trade-offs can be done by a smaller, more proactive team. — tap to centre the map on it With AI handling routine tasks, the high-value human work of understanding client needs and trade-offs can be done by a smaller, more proactive team. Last stated a year ago
11 Jun 2025
JF
Jacob Falkovich — holds since 2025-06-11 — tap for who they are
Same subject: With AI tools, in-house development teams can do more and need less rented developer capacity. — tap to centre the map on it With AI tools, in-house development teams can do more and need less rented developer capacity. Last stated a month ago
19 Sept 2026
GO
Gergely Orosz — holds since 2026-09-19 — tap for who they are
At the centre
Progress in AI takes a very strong dozen or two researchers, not hundreds or thousands of them.
Holds Read this korrent →
AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter.
Holds
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
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.
Holds
Scaling up spending on expert human data has not been a major driver of progress in AI research.
Holds
People often think that collaborating with AI takes something more advanced than is actually needed.
Holds
Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage.
Holds
Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet.
Holds
AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.
Holds
A few senior individual contributors can be paid VP money and still cost less than the layered product org they replace.
Holds
A functionally organised engineering team seizes up at around a hundred people, because every feature then has to be negotiated against every other team's bandwidth.
Holds
A group of fewer than four people is not a team: it behaves like a set of individuals, and a single departure knocks it back into maintenance.
Holds
AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish.
Holds
AI-branded layoffs are not about AI; they are about badly run companies putting an AI label on having hired too many people.
Holds
An engineering manager should support six to eight engineers: fewer and they drift into being a tech lead, more and they can only be a coach.
Holds
AI gives an individual contributor so much leverage that one very senior product manager beats three entry-level ones.
Holds
With AI handling routine tasks, the high-value human work of understanding client needs and trade-offs can be done by a smaller, more proactive team.
Holds
With AI tools, in-house development teams can do more and need less rented developer capacity.
Holds