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← Nonproliferation is the wrong frame for AI misuse; the workable…
17 connected korrents · 19 moments from 12 Sept 2022 to 25 Sept 2026.
Everything filed under AI alignment
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data centers 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: Nonproliferation is the wrong frame for AI misuse; the workable strategy is to use the gap before a capability spreads to build defences against it. Nonproliferation is the wrong frame for AI misuse; the workable strategy is to use the gap before a capability spreads to build defences against it. Last stated 2 years ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Same subject: The current preference cascade on pacing the AI frontier is insufficient to ensure survival. — tap to centre the map on it The current preference cascade on pacing the AI frontier is insufficient to ensure survival. Last stated a month ago
18 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-18 — tap for who they are
Same subject: At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. — tap to centre the map on it At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Frontier AI labs have a strategic incentive to pace their capability releases so society has time to address the overhangs caused by model advancement. — tap to centre the map on it Frontier AI labs have a strategic incentive to pace their capability releases so society has time to address the overhangs caused by model advancement. Last stated 4 weeks ago
25 Sept 2026
BT
Ben Thompson — holds since 2026-09-25 — tap for who they are
Same subject: An international AI safety body modeled on the IAEA would not by itself be enough to prevent AI-related geopolitical crises. — tap to centre the map on it An international AI safety body modeled on the IAEA would not by itself be enough to prevent AI-related geopolitical crises. Last stated a year ago
18 Jun 2025
MB
Miles Brundage — holds since 2025-06-18 — tap for who they are
Same subject: A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. — tap to centre the map on it A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that. Last stated 5 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — tap for who they are
Same subject: The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold. — tap to centre the map on it The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold. Last stated a month ago
19 Sept 2026
NL
Nathan Lambert — holds since 2026-09-19 — tap for who they are
Same subject: There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company. — tap to centre the map on it There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company. Last stated 5 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — tap for who they are
Same subject: The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply. — tap to centre the map on it The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply. Last stated 4 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — 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
Nonproliferation is the wrong frame for AI misuse; the workable strategy is to use the gap before a capability spreads to build defences against it.
Holds Read this korrent →
The current preference cascade on pacing the AI frontier is insufficient to ensure survival.
Holds
At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse.
Holds
Frontier AI labs have a strategic incentive to pace their capability releases so society has time to address the overhangs caused by model advancement.
Holds
An international AI safety body modeled on the IAEA would not by itself be enough to prevent AI-related geopolitical crises.
Holds
A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that.
Holds
The rising level of public concern about AI extinction risk is overblown relative to how progress will actually unfold.
Holds
There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company.
Holds
The massive AI build-out is the right thing to be doing, and the only thing that will slow it is supply.
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