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← Countries will adopt open-weight models to get frontier-level AI…
17 connected korrents · 17 moments on record from 5 Nov 2019 to 15 Sept 2026.
Everything filed under Anthropic
Anthropic
Everything filed under open source
open source
Everything filed under benchmarks
benchmarks
Everything filed under measuring intelligence
measuring intelligence
Everything filed under scaling laws
scaling laws
Everything filed under HuggingFace
HuggingFace
Everything filed under America
America 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: Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments. Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments. Last stated 2 months ago
15 Jul 2026
SK
Sriram Krishnan — holds since 2026-07-15 — 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: 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: 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 4 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — no longer holds since 2026-08-26 — tap for who they are
Same subject: Staged, controlled rollout of a powerful AI model provides little safety benefit once open-weight versions of similar capability are inevitably released. — tap to centre the map on it Staged, controlled rollout of a powerful AI model provides little safety benefit once open-weight versions of similar capability are inevitably released. Last stated a month ago
14 Aug 2026
NL
Nathan Lambert — holds since 2026-08-14 — 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 a week ago
11 Sept 2026
NL
Nathan Lambert — holds since 2026-09-11 — tap for who they are
Same subject: Organizations will trade some access to frontier-level AI capability for greater control over how their data is used. — tap to centre the map on it Organizations will trade some access to frontier-level AI capability for greater control over how their data is used. Last stated 2 months ago
15 Jul 2026
SK
Sriram Krishnan — holds since 2026-07-15 — tap for who they are
Same subject: No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence. — tap to centre the map on it No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence. Last stated 3 weeks ago
1 Sept 2026
DB
Dean W. Ball — holds since 2026-09-01 — tap for who they are
Same subject: The models causing real problems today are closed-weight American ones; open-weight models would not create that issue. — tap to centre the map on it The models causing real problems today are closed-weight American ones; open-weight models would not create that issue. Last stated a week ago
12 Sept 2026
AR
Armin Ronacher — holds since 2026-09-12 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 3 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. — tap to centre the map on it A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. Last stated 4 months ago
10 May 2026
ER
Eric Ries — holds since 2026-05-10 — tap for who they are
Same subject: Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million. — tap to centre the map on it Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million. Last stated 6 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — 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 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
Countries will adopt open-weight models to get frontier-level AI capability inside controlled, sovereign environments.
Holds Read this korrent →
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
There is a large and growing gap between open-weight AI models and frontier AI models.
Holds
An open-weight model is already all anyone needs; it is as good as the frontier models.
No longer holds
Staged, controlled rollout of a powerful AI model provides little safety benefit once open-weight versions of similar capability are inevitably released.
Holds
Since 2024, the leading open-weight AI models have come from Chinese labs rather than American ones.
Holds
Organizations will trade some access to frontier-level AI capability for greater control over how their data is used.
Holds
No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence.
Holds
The models causing real problems today are closed-weight American ones; open-weight models would not create that issue.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Holds
Agents can build about half a million lines before the codebase dissolves into a mess, and the next model will push that to a few million.
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