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← Open-weight AI models are currently in a golden age, plentiful and often very powerful.
17 connected korrents · 16 moments from 18 Mar 2024 to 23 Sept 2026. Nearly all of them are about open source .
Everything filed under LLMs
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scaling laws
Everything filed under OpenAI
OpenAI 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: Open-weight AI models are currently in a golden age, plentiful and often very powerful. Open-weight AI models are currently in a golden age, plentiful and often very powerful. Last stated 4 months ago
25 May 2026
SS
Salvatore Sanfilippo — holds since 2026-05-25 — tap for who they are
Same subject: Open-weight models are becoming an essential tool for AI diffusion. — tap to centre the map on it Open-weight models are becoming an essential tool for AI diffusion. Last stated 2 weeks ago
21 Sept 2026
NL
Nathan Lambert — holds since 2026-09-21 — 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: 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 a month 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 2 weeks ago
21 Sept 2026
NL
Nathan Lambert — holds since 2026-09-21 — tap for who they are
Same subject: What happens with open weight AI models will determine the level of individual sovereignty and liberty people have over AI. — tap to centre the map on it What happens with open weight AI models will determine the level of individual sovereignty and liberty people have over AI. Last stated 2 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — 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: Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments. — tap to centre the map on it Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments. Last stated 3 months ago
15 Jul 2026
SK
Sriram Krishnan — holds since 2026-07-15 — tap for who they are
Same subject: The local AI niche will end up dominated by whichever open-weight model runs practically fast on high-end consumer hardware, like a Mac or a 'GPU in a box' rig. — tap to centre the map on it The local AI niche will end up dominated by whichever open-weight model runs practically fast on high-end consumer hardware, like a Mac or a 'GPU in a box' rig. Last stated 5 months ago
14 May 2026
SS
Salvatore Sanfilippo — holds since 2026-05-14 — 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
Open-weight AI models are currently in a golden age, plentiful and often very powerful.
Holds Read this korrent →
Open-weight models are becoming an essential tool for AI diffusion.
Holds
There is a large and growing gap between open-weight AI models and frontier AI models.
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
What happens with open weight AI models will determine the level of individual sovereignty and liberty people have over AI.
Holds
Since 2024, the leading open-weight AI models have come from Chinese labs rather than American ones.
Holds
Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments.
Holds
The local AI niche will end up dominated by whichever open-weight model runs practically fast on high-end consumer hardware, like a Mac or a 'GPU in a box' rig.
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