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← Open models will end up serving a long-tail of specialized uses while…
17 connected korrents · 18 moments on record from 5 Nov 2019 to 15 Sept 2026.
Everything filed under LLMs
LLMs
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 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 models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications. Open models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications. Last stated a month ago
17 Aug 2026
NL
Nathan Lambert — holds since 2026-08-17 — tap for who they are
Same subject: An open-source model ecosystem innovates faster than a closed one, because every participant learns from the others' work. — tap to centre the map on it An open-source model ecosystem innovates faster than a closed one, because every participant learns from the others' work. Last stated 3 months ago
9 Jun 2026
BG
Bill Gurley — holds since 2026-06-09 — tap for who they are
Same subject: Open models trailing the frontier by a few months is a good arrangement, because the industry needs a common working space it all has access to. — tap to centre the map on it Open models trailing the frontier by a few months is a good arrangement, because the industry needs a common working space it all has access to. Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: Open sourcing a foundation model creates significantly more value than the risk it carries. — tap to centre the map on it Open sourcing a foundation model creates significantly more value than the risk it carries. Last stated 3 years ago
28 Sept 2023
MZ
Mark Zuckerberg — holds since 2023-09-28 — tap for who they are
Same subject: Using open models is the approach offering the biggest AI cost savings, followed by smart model routing. — tap to centre the map on it Using open models is the approach offering the biggest AI cost savings, followed by smart model routing. Last stated 2 weeks ago
10 Sept 2026
GO
Gergely Orosz — holds since 2026-09-10 — tap for who they are
Same subject: The rise of closed-source large language models makes preserving an open culture of sharing knowledge and software important for NLP. — tap to centre the map on it The rise of closed-source large language models makes preserving an open culture of sharing knowledge and software important for NLP. Last stated 3 years ago
5 Dec 2023
SR
Sebastian Ruder — holds since 2023-12-05 — tap for who they are
Same subject: Open-sourcing capable models matters because it is the only thing standing between us and a world where two or three companies control the frontier. — tap to centre the map on it Open-sourcing capable models matters because it is the only thing standing between us and a world where two or three companies control the frontier. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: The performance gap between closed-source and open-weight language models is closing. — tap to centre the map on it The performance gap between closed-source and open-weight language models is closing. Last stated 2 years ago
15 Apr 2024
SR
Sebastian Ruder — holds since 2024-04-15 — tap for who they are
Same subject: Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. — tap to centre the map on it Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. Last stated a year ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — 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
Open models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications.
Holds Read this korrent →
An open-source model ecosystem innovates faster than a closed one, because every participant learns from the others' work.
Holds
Open models trailing the frontier by a few months is a good arrangement, because the industry needs a common working space it all has access to.
Holds
Open sourcing a foundation model creates significantly more value than the risk it carries.
Holds
Using open models is the approach offering the biggest AI cost savings, followed by smart model routing.
Holds
The rise of closed-source large language models makes preserving an open culture of sharing knowledge and software important for NLP.
Holds
Open-sourcing capable models matters because it is the only thing standing between us and a world where two or three companies control the frontier.
Holds
The performance gap between closed-source and open-weight language models is closing.
Holds
Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not.
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