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← The primary reason people suspect ulterior motives behind AI labs'…
17 connected korrents · 20 moments from 12 Sept 2022 to 20 Sept 2026.
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education 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: The primary reason people suspect ulterior motives behind AI labs' calls for regulation is a misunderstanding of the potential dangers posed by AI models. The primary reason people suspect ulterior motives behind AI labs' calls for regulation is a misunderstanding of the potential dangers posed by AI models. Last stated a month ago
20 Sept 2026
PG
Paul Graham — holds since 2026-09-20 — tap for who they are
Same subject: Costly and burdensome AI regulation would entrench an oligopoly, which is why some incumbents are asking to be regulated. — tap to centre the map on it Costly and burdensome AI regulation would entrench an oligopoly, which is why some incumbents are asking to be regulated. Last stated 5 months ago
9 Jun 2026
BG
Bill Gurley — holds since 2026-06-09 — tap for who they are
Same subject: Regulating artificial intelligence as a single category is the wrong level of abstraction, in the way that regulating databases or spreadsheets would be. — tap to centre the map on it Regulating artificial intelligence as a single category is the wrong level of abstraction, in the way that regulating databases or spreadsheets would be. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous. — tap to centre the map on it The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown. — tap to centre the map on it It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown. Last stated a month ago
15 Sept 2026
NS
Nate Silver — holds since 2026-09-15 — tap for who they are
Same subject: AI needs an objective third party that can see what each leading lab is doing and voice concerns publicly, even with no power to enforce anything. — tap to centre the map on it AI needs an objective third party that can see what each leading lab is doing and voice concerns publicly, even with no power to enforce anything. Last stated 3 years ago
9 Nov 2023
EM
Elon Musk — holds since 2023-11-09 — tap for who they are
Same subject: It would be dangerous for a few people from industry to set the rules for AI, because market forces are not societal norms. — tap to centre the map on it It would be dangerous for a few people from industry to set the rules for AI, because market forces are not societal norms. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology. — tap to centre the map on it The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology. Last stated 6 months ago
28 Apr 2026
AD
Anil Dash — holds since 2026-04-28 — tap for who they are
Same subject: Sensible regulation will need to be part of the story for AI. — tap to centre the map on it Sensible regulation will need to be part of the story for AI. Last stated 4 months ago
29 Jun 2026
DA
Daniela Amodei — 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: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — 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
At the centre
The primary reason people suspect ulterior motives behind AI labs' calls for regulation is a misunderstanding of the potential dangers posed by AI models.
Holds Read this korrent →
Costly and burdensome AI regulation would entrench an oligopoly, which is why some incumbents are asking to be regulated.
Holds
Regulating artificial intelligence as a single category is the wrong level of abstraction, in the way that regulating databases or spreadsheets would be.
Holds
The whole point of reinforcement learning is to produce goal-directed beings, so refusing to describe AI agents as having motives is silly rather than rigorous.
Holds
It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown.
Holds
AI needs an objective third party that can see what each leading lab is doing and voice concerns publicly, even with no power to enforce anything.
Holds
It would be dangerous for a few people from industry to set the rules for AI, because market forces are not societal norms.
Holds
The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology.
Holds
Sensible regulation will need to be part of the story for AI.
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
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds