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← Companies do not have sufficient incentives to mitigate the major…
17 connected korrents · 15 moments from 10 Oct 2023 to 15 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AGI
AGI
Everything filed under reinforcement learning
reinforcement learning
Everything filed under AI agents
AI agents
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coding agents In tension 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: Companies do not have sufficient incentives to mitigate the major risks of AI, and competition between them is driving corner-cutting. Companies do not have sufficient incentives to mitigate the major risks of AI, and competition between them is driving corner-cutting. Last stated 2 years ago
15 Feb 2025
MB
Miles Brundage — holds since 2025-02-15 — tap for who they are
In tension: Confidence in safety, not capability, will increasingly set the pace of AI progress. — tap to centre the map on it Confidence in safety, not capability, will increasingly set the pace of AI progress. Last stated 2 months ago
18 Aug 2026
SA
Sam Altman — holds since 2026-08-18 — tap for who they are
Same subject: As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners. — tap to centre the map on it As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners. Last stated a year ago
19 Jun 2025
MB
Miles Brundage — holds since 2025-06-19 — tap for who they are
Same subject: Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control. — tap to centre the map on it Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control. Last stated a year ago
3 Jun 2025
YB
Yoshua Bengio — holds since 2025-06-03 — tap for who they are
Same subject: Without agreed rules of the road, AI companies and states will tend to cut corners on safety and compliance commitments. — tap to centre the map on it Without agreed rules of the road, AI companies and states will tend to cut corners on safety and compliance commitments. Last stated a year ago
25 Sept 2025
MB
Miles Brundage — holds since 2025-09-25 — 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: 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: Competitive pressure among AI developers could cause loss of control even without anyone intending it — tap to centre the map on it Competitive pressure among AI developers could cause loss of control even without anyone intending it Last stated 3 months ago
16 Jul 2026
MB
Miles Brundage — holds since 2026-07-16 — tap for who they are
Same subject: AI companies are conflicted messengers when warning about AI safety risks, given their own marketing and regulatory incentives. — tap to centre the map on it AI companies are conflicted messengers when warning about AI safety risks, given their own marketing and regulatory incentives. Last stated a month ago
11 Sept 2026
CN
Casey Newton — holds since 2026-09-11 — tap for who they are
Same subject: When the subsidies behind AI pricing run out, the companies that embraced AI programming will cut back on it. — tap to centre the map on it When the subsidies behind AI pricing run out, the companies that embraced AI programming will cut back on it. Last stated 4 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — 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 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: Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. — tap to centre the map on it Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. — tap to centre the map on it A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. Last stated 5 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — tap for who they are
Same subject: A company cannot be led by machines, because nobody would have recourse against them. — tap to centre the map on it A company cannot be led by machines, because nobody would have recourse against them. Last stated a month ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
At the centre
Companies do not have sufficient incentives to mitigate the major risks of AI, and competition between them is driving corner-cutting.
Holds Read this korrent →
Confidence in safety, not capability, will increasingly set the pace of AI progress.
Holds
As AI systems become more capable, the danger of false or unverifiable safety claims grows, pushing competing companies toward cutting corners.
Holds
Competition between AI companies and countries is pushing accelerated AI development without sufficient caution, risking loss of control.
Holds
Without agreed rules of the road, AI companies and states will tend to cut corners on safety and compliance commitments.
Holds
It seems like common-sense risk management that the AI industry needs far more regulation and probably some enforceable slowdown.
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
Competitive pressure among AI developers could cause loss of control even without anyone intending it
Holds
AI companies are conflicted messengers when warning about AI safety risks, given their own marketing and regulatory incentives.
Holds
When the subsidies behind AI pricing run out, the companies that embraced AI programming will cut back on it.
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 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
Building a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.
Holds
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Holds
A company cannot be led by machines, because nobody would have recourse against them.
Holds