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← AI companies should be liable for what their agents do, and policymaking should make that clear.
17 connected korrents · 18 moments from 10 Oct 2023 to 23 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under reinforcement learning
reinforcement learning
Everything filed under AI alignment
AI alignment
Everything filed under war
war
Everything filed under chat interfaces
chat interfaces
Everything filed under AGI
AGI 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: AI companies should be liable for what their agents do, and policymaking should make that clear. AI companies should be liable for what their agents do, and policymaking should make that clear. Last stated 2 months ago
14 Sept 2026
SK
Sayash Kapoor — holds since 2026-09-14 — tap for who they are
Same subject: Giving AI agents the ability to take actions that affect other people is risky and should be approached with caution. — tap to centre the map on it Giving AI agents the ability to take actions that affect other people is risky and should be approached with caution. Last stated 11 months ago
3 Dec 2025
HR
Harper Reed — holds since 2025-12-03 — tap for who they are
Same subject: Companies, not individual users, should be legally liable for what their algorithms do — tap to centre the map on it Companies, not individual users, should be legally liable for what their algorithms do Last stated 2 years ago
5 Sept 2024
YH
Yuval Noah Harari — holds since 2024-09-05 — 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: Always-on AI agents might put a dent in the burden of unpaid household mental labour, the way washing machines and dishwashers did. — tap to centre the map on it Always-on AI agents might put a dent in the burden of unpaid household mental labour, the way washing machines and dishwashers did. Last stated 2 months ago
18 Aug 2026
MA
Maggie Appleton — holds since 2026-08-18 — tap for who they are
Same subject: No company or country should be allowed to develop an AI system capable of causing large-scale harm. — tap to centre the map on it No company or country should be allowed to develop an AI system capable of causing large-scale harm. Last stated a month ago
23 Sept 2026
YB
Yoshua Bengio — holds since 2026-09-23 — tap for who they are
Same subject: AI companies are already helping to automate and facilitate mass death in wars such as those in Iran, Gaza and Ukraine, so the harm does not need to be speculated about. — tap to centre the map on it AI companies are already helping to automate and facilitate mass death in wars such as those in Iran, Gaza and Ukraine, so the harm does not need to be speculated about. Last stated a week ago
23 Oct 2026
BM
Brian Merchant — holds since 2026-10-23 — 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 2 months ago
13 Sept 2026
NR
Naval Ravikant — holds since 2026-09-13 — tap for who they are
Same subject: A business, not its AI vendor, bears legal responsibility when an integrated AI tool causes harm to a customer. — tap to centre the map on it A business, not its AI vendor, bears legal responsibility when an integrated AI tool causes harm to a customer. Last stated 7 months ago
20 Mar 2026
AK
Arvid Kahl — holds since 2026-03-20 — 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 5 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 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: 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 4 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 physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. — tap to centre the map on it Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. Last stated 6 months ago
16 Apr 2026
SK
Sayash Kapoor — holds since 2026-04-16 — tap for who they are
At the centre
AI companies should be liable for what their agents do, and policymaking should make that clear.
Holds Read this korrent →
Giving AI agents the ability to take actions that affect other people is risky and should be approached with caution.
Holds
Companies, not individual users, should be legally liable for what their algorithms do
Holds
Sensible regulation will need to be part of the story for AI.
Holds
Always-on AI agents might put a dent in the burden of unpaid household mental labour, the way washing machines and dishwashers did.
Holds
No company or country should be allowed to develop an AI system capable of causing large-scale harm.
Holds
AI companies are already helping to automate and facilitate mass death in wars such as those in Iran, Gaza and Ukraine, so the harm does not need to be speculated about.
Holds
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
A business, not its AI vendor, bears legal responsibility when an integrated AI tool causes harm to a customer.
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
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
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 physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves.
Holds