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← People who create valuable data deserve to be compensated when models…
17 connected korrents · 20 moments from 11 Oct 2018 to 9 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under creativity
creativity
Everything filed under capitalism
capitalism 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: People who create valuable data deserve to be compensated when models are trained on it, and artists should be able to opt out of having work generated in their style. People who create valuable data deserve to be compensated when models are trained on it, and artists should be able to opt out of having work generated in their style. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: In creative work there is a real benefit to not following the financial incentives, and to creating scarcity for the sake of quality rather than for its own sake. — tap to centre the map on it In creative work there is a real benefit to not following the financial incentives, and to creating scarcity for the sake of quality rather than for its own sake. Last stated 10 months ago
15 Dec 2025
ML
Michael Lewis — holds since 2025-12-15 — tap for who they are
Same subject: People value a human-made good for the connection to its maker, which is why the premium disappears once five hundred copies exist. — tap to centre the map on it People value a human-made good for the connection to its maker, which is why the premium disappears once five hundred copies exist. Last stated 5 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: The answer to content being free for some AI companies and paid for by others is not that no one pays, but that everyone who benefits from the ecosystem contributes back in proportion to their size. — tap to centre the map on it The answer to content being free for some AI companies and paid for by others is not that no one pays, but that everyone who benefits from the ecosystem contributes back in proportion to their size. Last stated a year ago
21 Sept 2025
MP
Matthew Prince — holds since 2025-09-21 — tap for who they are
MZ
Michelle Zatlyn — holds since 2025-09-21 — tap for who they are
Same subject: How much the economy pays for a given talent at a given time is arbitrary and shouldn't determine which of your gifts you value. — tap to centre the map on it How much the economy pays for a given talent at a given time is arbitrary and shouldn't determine which of your gifts you value. Last stated 7 months ago
11 Mar 2026
MA
Mari Andrew — holds since 2026-03-11 — tap for who they are
Same subject: Content creators should be compensated directly by the AI engines their content fuels. — tap to centre the map on it Content creators should be compensated directly by the AI engines their content fuels. Last stated a year ago
1 Jul 2025
MP
Matthew Prince — holds since 2025-07-01 — tap for who they are
Same subject: Data is becoming more valuable not only for training models but as a complement to cheaper intelligence. — tap to centre the map on it Data is becoming more valuable not only for training models but as a complement to cheaper intelligence. Last stated 2 weeks ago
9 Oct 2026
PC
Patrick Collison — holds since 2026-10-09 — tap for who they are
Same subject: A full-time job is not the best way to monetise a skill; it is one package among several, and defaulting to it is a faulty plan. — tap to centre the map on it A full-time job is not the best way to monetise a skill; it is one package among several, and defaulting to it is a faulty plan. Last stated 2 years ago
19 Jan 2025
EV
Elena Verna — holds since 2025-01-19 — tap for who they are
Same subject: A work does not have to be unlike everything before it to be worth making; what makes it new is that this particular person made it. — tap to centre the map on it A work does not have to be unlike everything before it to be worth making; what makes it new is that this particular person made it. Last stated 4 months ago
29 Jun 2026
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
NC
Nick Cave — holds since 2026-06-29 — 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
People who create valuable data deserve to be compensated when models are trained on it, and artists should be able to opt out of having work generated in their style.
Holds Read this korrent →
In creative work there is a real benefit to not following the financial incentives, and to creating scarcity for the sake of quality rather than for its own sake.
Holds
People value a human-made good for the connection to its maker, which is why the premium disappears once five hundred copies exist.
Holds
The answer to content being free for some AI companies and paid for by others is not that no one pays, but that everyone who benefits from the ecosystem contributes back in proportion to their size.
Holds
How much the economy pays for a given talent at a given time is arbitrary and shouldn't determine which of your gifts you value.
Holds
Content creators should be compensated directly by the AI engines their content fuels.
Holds
Data is becoming more valuable not only for training models but as a complement to cheaper intelligence.
Holds
A full-time job is not the best way to monetise a skill; it is one package among several, and defaulting to it is a faulty plan.
Holds
A work does not have to be unlike everything before it to be worth making; what makes it new is that this particular person made it.
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