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← There will always be a fairly capable open-source model in the world,…
17 connected korrents · 20 moments from 22 Aug 2018 to 22 Sept 2026. Nearly all of them are about open source .
Everything filed under LLMs
LLMs 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: There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one. There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Paying for open source is not a precondition of its sustainability; large projects can thrive while rejecting market-based terms entirely. — tap to centre the map on it Paying for open source is not a precondition of its sustainability; large projects can thrive while rejecting market-based terms entirely. Last stated 5 years ago
13 Dec 2021
DH
David Heinemeier Hansson — holds since 2021-12-13 — tap for who they are
Same subject: Open-sourcing biology models is right in principle but has to be balanced against biosafety. — tap to centre the map on it Open-sourcing biology models is right in principle but has to be balanced against biosafety. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — 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: Open-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier. — tap to centre the map on it 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: 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 4 weeks ago
22 Sept 2026
BR
Barry Ritholtz — holds since 2026-09-22 — tap for who they are
Same subject: Free riding is not open source’s problem: the users who only download the code impose no cost on anyone. — tap to centre the map on it Free riding is not open source’s problem: the users who only download the code impose no cost on anyone. Last stated 8 years ago
14 Mar 2019
NA
Nadia Asparouhova — holds since 2019-03-14 — tap for who they are
Same subject: There will be a lot of internal tools open sourced, because solving a problem for your team probably solves it for other people too. — tap to centre the map on it There will be a lot of internal tools open sourced, because solving a problem for your team probably solves it for other people too. Last stated 2 months ago
2 Sept 2026
ER
Evil Rabbit — holds since 2026-09-02 — 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 7 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — 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
There will always be a fairly capable open-source model in the world, which puts a permanent floor under what anyone can charge for one.
Holds Read this korrent →
Paying for open source is not a precondition of its sustainability; large projects can thrive while rejecting market-based terms entirely.
Holds
Open-sourcing biology models is right in principle but has to be balanced against biosafety.
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
Open-source models cannot keep frontier systems in check, because they will always be much dumber than the frontier.
Holds
Open-source and closed frontier AI models will both find lasting places in the market rather than one displacing the other.
Holds
Free riding is not open source’s problem: the users who only download the code impose no cost on anyone.
Holds
There will be a lot of internal tools open sourced, because solving a problem for your team probably solves it for other people too.
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
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