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← Delaying the open release of a new capability by months or years is…
17 connected korrents · 20 moments from 23 May 2022 to 17 Sept 2026.
Everything filed under open source
open source
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LLMs
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management
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design
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product management Cannot both be true 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: Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. 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 2 years ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Cannot both be true: 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 2 months ago
1 Sept 2026
DB
Dean W. Ball — holds since 2026-09-01 — tap for who they are
Same subject: Open frontier models will keep being released whether or not anyone wants to stop them, and stopping them would only leave the world less prepared. — tap to centre the map on it Open frontier models will keep being released whether or not anyone wants to stop them, and stopping them would only leave the world less prepared. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — 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: Making AI models more governable and controllable makes them less useful, which will push labs to delay releases rather than restrict capabilities. — tap to centre the map on it Making AI models more governable and controllable makes them less useful, which will push labs to delay releases rather than restrict capabilities. Last stated 2 months ago
21 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-21 — tap for who they are
Same subject: Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. — tap to centre the map on it Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. Last stated 3 months ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Breaking changes should be released frequently in small batches rather than saved up for one big yearly major version. — tap to centre the map on it Breaking changes should be released frequently in small batches rather than saved up for one big yearly major version. Last stated 4 years ago
23 May 2022
TP
Tom Preston-Werner — holds since 2022-05-23 — tap for who they are
Same subject: It is better not to spend time crafting the exact perfect solution until you know it works; getting an early version you can play with in the product is a really good milestone. — tap to centre the map on it It is better not to spend time crafting the exact perfect solution until you know it works; getting an early version you can play with in the product is a really good milestone. Last stated 7 months ago
8 Apr 2026
IS
Ian Silber — holds since 2026-04-08 — tap for who they are
Same subject: Open models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications. — tap to centre the map on it Open models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications. Last stated 2 months ago
17 Aug 2026
NL
Nathan Lambert — holds since 2026-08-17 — 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
At the centre
Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not.
Holds Read this korrent →
No regulation, a ban on open source included, can prevent self-sovereign AI; more open-weight models may be the better defence.
Holds
Open frontier models will keep being released whether or not anyone wants to stop them, and stopping them would only leave the world less prepared.
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
Making AI models more governable and controllable makes them less useful, which will push labs to delay releases rather than restrict capabilities.
Holds
Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
Breaking changes should be released frequently in small batches rather than saved up for one big yearly major version.
Holds
It is better not to spend time crafting the exact perfect solution until you know it works; getting an early version you can play with in the product is a really good milestone.
Holds
Open models will end up serving a long-tail of specialized uses while closed models retain the most valuable applications.
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