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← In most technology-driven industries, capability advantages are held…
17 connected korrents · 18 moments from 21 Mar 2023 to 21 Sept 2026.
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politics 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: In most technology-driven industries, capability advantages are held for longer and are harder to fast-follow than is the case with AI models. In most technology-driven industries, capability advantages are held for longer and are harder to fast-follow than is the case with AI models. Last stated 7 months ago
26 Mar 2026
SK
Sriram Krishnan — holds since 2026-03-26 — tap for who they are
Same subject: AI's real-world impact is bottlenecked by the pace of product development and the rate of adoption, not by further gains in AI capabilities. — tap to centre the map on it AI's real-world impact is bottlenecked by the pace of product development and the rate of adoption, not by further gains in AI capabilities. Last stated 2 years ago
18 Dec 2024
AN
Arvind Narayanan — holds since 2024-12-18 — tap for who they are
Same subject: In bioengineering humans, societies that go slowly and safely will have the advantage, unlike in AI where an arms race is almost inevitable — tap to centre the map on it In bioengineering humans, societies that go slowly and safely will have the advantage, unlike in AI where an arms race is almost inevitable Last stated 3 years ago
11 Jan 2024
YH
Yuval Noah Harari — holds since 2024-01-11 — tap for who they are
Same subject: The AI industry's near-term trajectory is driven more by finance and politics than by the underlying technology. — tap to centre the map on it The AI industry's near-term trajectory is driven more by finance and politics than by the underlying technology. Last stated 2 months ago
18 Sept 2026
RS
Robin Sloan — holds since 2026-09-18 — 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 12 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control. — tap to centre the map on it Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control. Last stated a year ago
3 Jun 2025
YB
Yoshua Bengio — holds since 2025-06-03 — tap for who they are
Same subject: Having the very best AI model and harness does not result in better or faster execution and can slow teams down — tap to centre the map on it Having the very best AI model and harness does not result in better or faster execution and can slow teams down Last stated 2 months ago
19 Sept 2026
GO
Gergely Orosz — holds since 2026-09-19 — tap for who they are
Same subject: There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company. — tap to centre the map on it There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company. Last stated 5 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — tap for who they are
Same subject: Maximizing the speed of AI capability advancement no longer maximizes the overall rate of technological progress. — tap to centre the map on it Maximizing the speed of AI capability advancement no longer maximizes the overall rate of technological progress. Last stated 2 months ago
13 Sept 2026
VR
Venkatesh Rao — holds since 2026-09-13 — tap for who they are
Same subject: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. — tap to centre the map on it "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 3 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot. — tap to centre the map on it Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot. Last stated 2 months ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: An open-weight model is already all anyone needs; it is as good as the frontier models. — tap to centre the map on it An open-weight model is already all anyone needs; it is as good as the frontier models. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — no longer holds since 2026-08-26 — tap for who they are
Same subject: By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group. — tap to centre the map on it By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group. Last stated 3 months ago
19 Aug 2026
DT
Derek Thompson — holds since 2026-08-19 — tap for who they are
Same subject: Chinese AI companies are the clear leaders in open-weight models. — tap to centre the map on it Chinese AI companies are the clear leaders in open-weight models. Last stated a month ago
21 Sept 2026
NL
Nathan Lambert — holds since 2026-09-21 — tap for who they are
At the centre
In most technology-driven industries, capability advantages are held for longer and are harder to fast-follow than is the case with AI models.
Holds Read this korrent →
AI's real-world impact is bottlenecked by the pace of product development and the rate of adoption, not by further gains in AI capabilities.
Holds
In bioengineering humans, societies that go slowly and safely will have the advantage, unlike in AI where an arms race is almost inevitable
Holds
The AI industry's near-term trajectory is driven more by finance and politics than by the underlying technology.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control.
Holds
Having the very best AI model and harness does not result in better or faster execution and can slow teams down
Holds
There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company.
Holds
Maximizing the speed of AI capability advancement no longer maximizes the overall rate of technological progress.
Holds
"Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot.
Holds
An open-weight model is already all anyone needs; it is as good as the frontier models.
No longer holds
By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group.
Holds
Chinese AI companies are the clear leaders in open-weight models.
Holds