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← Open-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier.
17 connected korrents · 19 moments from 22 Aug 2018 to 17 Sept 2026. Nearly all of them are about open source .
Everything filed under LLMs
LLMs
Everything filed under coding agents
coding agents
Everything filed under TypeScript
TypeScript
Everything filed under team size
team size 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-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier. Open-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. — tap to centre the map on it A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A company that will not accept a project’s terms is free to go and use a more permissive project instead. — tap to centre the map on it A company that will not accept a project’s terms is free to go and use a more permissive project instead. Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it. — tap to centre the map on it A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it. Last stated 8 years ago
22 Aug 2018
DD
Drew DeVault — holds since 2018-08-22 — tap for who they are
Same subject: A licence is only the floor of open source; what keeps a project alive is an ethos of contribution that no licence can compel. — tap to centre the map on it A licence is only the floor of open source; what keeps a project alive is an ethos of contribution that no licence can compel. Last stated 2 years ago
17 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-17 — tap for who they are
Same subject: A proprietary language licensed from Microsoft had zero chance in the JavaScript ecosystem: TypeScript had to be open source or nobody would come. — tap to centre the map on it A proprietary language licensed from Microsoft had zero chance in the JavaScript ecosystem: TypeScript had to be open source or nobody would come. Last stated 5 months ago
13 May 2026
AH
Anders Hejlsberg — holds since 2026-05-13 — tap for who they are
Same subject: Agent-written pull requests already outclass those of the median human contributor to an open source project. — tap to centre the map on it Agent-written pull requests already outclass those of the median human contributor to an open source project. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: AI coding agents advance open source's founding goal by letting far more people modify software, so barring AI-assisted contributions protects a guild rather than the mission. — tap to centre the map on it AI coding agents advance open source's founding goal by letting far more people modify software, so barring AI-assisted contributions protects a guild rather than the mission. Last stated 5 months ago
1 Jun 2026
DH
David Heinemeier Hansson — holds since 2026-06-01 — tap for who they are
Same subject: AI is currently having a decentralizing effect on industry and economic power rather than a centralizing one. — tap to centre the map on it AI is currently having a decentralizing effect on industry and economic power rather than a centralizing one. Last stated a year ago
3 Aug 2025
BS
Balaji Srinivasan — holds since 2025-08-03 — 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 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — 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 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. — tap to centre the map on it As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. Last stated 4 months ago
24 Jun 2026
LW
Lilian Weng — holds since 2026-06-24 — tap for who they are
Same subject: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it Current techniques restrict pre-trained representation power because standard language models are unidirectional. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
At the centre
Open-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier.
Holds Read this korrent →
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Holds
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Holds
A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it.
Holds
A licence is only the floor of open source; what keeps a project alive is an ethos of contribution that no licence can compel.
Holds
A proprietary language licensed from Microsoft had zero chance in the JavaScript ecosystem: TypeScript had to be open source or nobody would come.
Holds
Agent-written pull requests already outclass those of the median human contributor to an open source project.
Holds
AI coding agents advance open source's founding goal by letting far more people modify software, so barring AI-assisted contributions protects a guild rather than the mission.
Holds
AI is currently having a decentralizing effect on industry and economic power rather than a centralizing one.
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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
As models keep growing, AI is running out of enough high-quality unique training tokens to keep up.
Holds
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Holds