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← When liability for unverified failures approaches zero, verification…
17 connected korrents · 15 moments on record from 25 Nov 2020 to 14 Sept 2026.
Everything filed under self-driving cars
self-driving cars
Everything filed under AGI
AGI
Everything filed under LLMs
LLMs
Everything filed under OpenAI
OpenAI
Everything filed under AI alignment
AI alignment 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: When liability for unverified failures approaches zero, verification budgets collapse and deployers flood systems with unmonitored agents while socializing catastrophic risks. When liability for unverified failures approaches zero, verification budgets collapse and deployers flood systems with unmonitored agents while socializing catastrophic risks. Last stated today
14 Sept 2026
NR
Naval Ravikant — holds since 2026-09-14 — tap for who they are
Same subject: Strong liability enforcement could help the AI debate by holding people liable for rogue agent swarms, jailbroken weakly protected models, and weakly protected OSS models they serve. — tap to centre the map on it Strong liability enforcement could help the AI debate by holding people liable for rogue agent swarms, jailbroken weakly protected models, and weakly protected OSS models they serve. Last stated yesterday
13 Sept 2026
NR
Naval Ravikant — holds since 2026-09-13 — tap for who they are
Same subject: Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits. — tap to centre the map on it Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits. Last stated 3 years ago
26 Oct 2023
YB
Yoshua Bengio — holds since 2023-10-26 — tap for who they are
Same subject: Nobody can drive the billions of representative miles that would prove a self-driving system safe before deploying it, so deployment always precedes proof. — tap to centre the map on it Nobody can drive the billions of representative miles that would prove a self-driving system safe before deploying it, so deployment always precedes proof. Last stated 6 years ago
25 Nov 2020
PK
Philip Koopman — holds since 2020-11-25 — tap for who they are
Same subject: Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays. — tap to centre the map on it Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays. Last stated 4 years ago
10 Jun 2022
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: Without sufficient caution, advanced autonomous AI could cause irreversible loss of human control and culminate in large-scale loss of life or human extinction. — tap to centre the map on it Without sufficient caution, advanced autonomous AI could cause irreversible loss of human control and culminate in large-scale loss of life or human extinction. Last stated 3 years ago
26 Oct 2023
YB
Yoshua Bengio — holds since 2023-10-26 — tap for who they are
Same subject: Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it. — tap to centre the map on it Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it. Last stated 8 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: Formal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to. — tap to centre the map on it Formal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to. Last stated 5 months ago
22 Apr 2026
MK
Martin Kleppmann — holds since 2026-04-22 — tap for who they are
Same subject: A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data. — tap to centre the map on it A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A good robotaxi demonstration in one city does not mean the company is ready to scale the service. — tap to centre the map on it A good robotaxi demonstration in one city does not mean the company is ready to scale the service. Last stated a year ago
8 Jul 2025
TL
Timothy B. Lee — holds since 2025-07-08 — tap for who they are
Same subject: A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled. — tap to centre the map on it A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled. Last stated 2 years ago
21 May 2024
TL
Timothy B. Lee — holds since 2024-05-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 3 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — 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 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 3 months ago
4 Jun 2026
PT
Phil Trammell — holds since 2026-06-04 — tap for who they are
At the centre
When liability for unverified failures approaches zero, verification budgets collapse and deployers flood systems with unmonitored agents while socializing catastrophic risks.
Holds Read this korrent →
Strong liability enforcement could help the AI debate by holding people liable for rogue agent swarms, jailbroken weakly protected models, and weakly protected OSS models they serve.
Holds
Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits.
Holds
Nobody can drive the billions of representative miles that would prove a self-driving system safe before deploying it, so deployment always precedes proof.
Holds PK Philip Koopman
Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays.
Holds EY Eliezer Yudkowsky
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds BS Buck Shlegeris
Without sufficient caution, advanced autonomous AI could cause irreversible loss of human control and culminate in large-scale loss of life or human extinction.
Holds
Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.
Holds JH Jensen Huang
Formal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to.
Holds MK Martin Kleppmann
A five-year-old's vision is already good enough to drive a car, on a tiny and strikingly undiverse amount of data.
Holds IS Ilya Sutskever
A good robotaxi demonstration in one city does not mean the company is ready to scale the service.
Holds TL Timothy B. Lee
A huge fleet collecting driving data is not a silver bullet for self-driving, because the data arrives unlabelled.
Holds TL Timothy B. Lee
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds AI Alex Imas
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 GM Gary Marcus
A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that.
Holds PT Phil Trammell