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← Frontier Chinese AI labs are moving toward more restrictive licensing terms for their open models.
17 connected korrents · 15 moments from 18 Mar 2024 to 23 Sept 2026.
Everything filed under China
China
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AI alignment
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scaling laws
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AI and jobs 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: Frontier Chinese AI labs are moving toward more restrictive licensing terms for their open models. Frontier Chinese AI labs are moving toward more restrictive licensing terms for their open models. Last stated 3 weeks ago
8 Sept 2026
NL
Nathan Lambert — holds since 2026-09-08 — tap for who they are
Same subject: Regulatory capture will next ban open source and/or Chinese AI models. — tap to centre the map on it Regulatory capture will next ban open source and/or Chinese AI models. Last stated 3 weeks ago
12 Sept 2026
PL
Pieter Levels — holds since 2026-09-12 — tap for who they are
Same subject: Restricting US AI models does not work: China builds better ones and everyone switches to them. — tap to centre the map on it Restricting US AI models does not work: China builds better ones and everyone switches to them. Last stated 3 months ago
17 Jul 2026
PL
Pieter Levels — holds since 2026-07-17 — tap for who they are
Same subject: There is a large and growing gap between open-weight AI models and frontier AI models. — tap to centre the map on it There is a large and growing gap between open-weight AI models and frontier AI models. Last stated 6 months ago
29 Mar 2026
CW
Chris Wellons — holds since 2026-03-29 — tap for who they are
Same subject: Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other. — tap to centre the map on it Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other. Last stated a week ago
22 Sept 2026
BR
Barry Ritholtz — holds since 2026-09-22 — tap for who they are
Same subject: In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale. — tap to centre the map on it In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale. Last stated 4 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: As labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity. — tap to centre the map on it As labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: Frontier labs are incentivised toward fear because it justifies staying closed, which leaves open-source advocates rooting for Chinese labs. — tap to centre the map on it Frontier labs are incentivised toward fear because it justifies staying closed, which leaves open-source advocates rooting for Chinese labs. Last stated a month ago
21 Aug 2026
NR
Naval Ravikant — holds since 2026-08-21 — tap for who they are
Same subject: Since 2024, the leading open-weight AI models have come from Chinese labs rather than American ones. — tap to centre the map on it Since 2024, the leading open-weight AI models have come from Chinese labs rather than American ones. Last stated 3 weeks ago
11 Sept 2026
NL
Nathan Lambert — holds since 2026-09-11 — 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
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A deep theoretical understanding to predict AI behavior is unattainable. — tap to centre the map on it A deep theoretical understanding to predict AI behavior is unattainable. Last stated a week ago
23 Sept 2026
TC
Tyler Cowen — holds since 2026-09-23 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated a month ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
At the centre
Frontier Chinese AI labs are moving toward more restrictive licensing terms for their open models.
Holds Read this korrent →
Regulatory capture will next ban open source and/or Chinese AI models.
Holds
Restricting US AI models does not work: China builds better ones and everyone switches to them.
Holds
There is a large and growing gap between open-weight AI models and frontier AI models.
Holds
Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other.
Holds
In US-China AI competition the closed labs are beside the point; the competitor that shifts things must be American, open source and able to serve inference at scale.
Holds
As labs sell finished white-collar work rather than reasoning traces, Chinese models will lose the ability to distil their way to parity.
Holds
Frontier labs are incentivised toward fear because it justifies staying closed, which leaves open-source advocates rooting for Chinese labs.
Holds
Since 2024, the leading open-weight AI models have come from Chinese labs rather than American ones.
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
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A deep theoretical understanding to predict AI behavior is unattainable.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds