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← AI must be reoriented toward safety rather than capabilities alone, as…
17 connected korrents · 17 moments from 10 Oct 2023 to 3 Nov 2026.
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LLMs 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 must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action. AI must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action. Last stated 3 years ago
26 Oct 2023
YB
Yoshua Bengio — holds since 2023-10-26 — tap for who they are
Same subject: AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. — tap to centre the map on it AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. Last stated a year ago
25 Sept 2025
MB
Miles Brundage — holds since 2025-09-25 — tap for who they are
Same subject: Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. — tap to centre the map on it Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. Last stated 2 months ago
2 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-02 — tap for who they are
Same subject: AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. — tap to centre the map on it AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. Last stated 3 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — tap for who they are
Same subject: The United States' current AI strategy is focused on accelerating capability rather than investing in safety measures. — tap to centre the map on it The United States' current AI strategy is focused on accelerating capability rather than investing in safety measures. Last stated a month ago
21 Sept 2026
JC
Jack Clark — holds since 2026-09-21 — tap for who they are
Same subject: Perhaps the two biggest AI risks, somewhat in tension, are losing control of AI and power becoming too centralized in one company, model or person. — tap to centre the map on it Perhaps the two biggest AI risks, somewhat in tension, are losing control of AI and power becoming too centralized in one company, model or person. Last stated 2 months ago
23 Aug 2026
SA
Sam Altman — holds since 2026-08-23 — tap for who they are
Same subject: We need to pay closer attention to AI now, because the tipping point that will decide our future is fast approaching. — tap to centre the map on it We need to pay closer attention to AI now, because the tipping point that will decide our future is fast approaching. Last stated 3 weeks ago
17 Oct 2026
BR
Ben Rhodes — holds since 2026-10-17 — tap for who they are
Same subject: New AI capabilities often do not require new positioning, because they usually strengthen an existing value theme. — tap to centre the map on it New AI capabilities often do not require new positioning, because they usually strengthen an existing value theme. Last stated 2 months ago
3 Sept 2026
AD
April Dunford — holds since 2026-09-03 — tap for who they are
Same subject: AI is powerful enough that we should err on the side of safety at each level, but making it safe is not an unsolvable problem. — tap to centre the map on it AI is powerful enough that we should err on the side of safety at each level, but making it safe is not an unsolvable problem. Last stated 2 months ago
23 Aug 2026
SA
Sam Altman — holds since 2026-08-23 — 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 codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. — tap to centre the map on it A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. Last stated 2 days ago
3 Nov 2026
DB
Derek Briggs — holds since 2026-11-03 — 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 6 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 2 months ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — 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 12 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: AlphaGo showed that for over 2,000 years human minds explored only a small part of the landscape of Go — tap to centre the map on it AlphaGo showed that for over 2,000 years human minds explored only a small part of the landscape of Go Last stated 11 months ago
11 Dec 2025
YH
Yuval Noah Harari — holds since 2025-12-11 — tap for who they are
At the centre
AI must be reoriented toward safety rather than capabilities alone, as preparation is already behind schedule and the costs of unpreparedness outweigh premature action.
Holds Read this korrent →
AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action.
Holds
Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
The United States' current AI strategy is focused on accelerating capability rather than investing in safety measures.
Holds
Perhaps the two biggest AI risks, somewhat in tension, are losing control of AI and power becoming too centralized in one company, model or person.
Holds
We need to pay closer attention to AI now, because the tipping point that will decide our future is fast approaching.
Holds
New AI capabilities often do not require new positioning, because they usually strengthen an existing value theme.
Holds
AI is powerful enough that we should err on the side of safety at each level, but making it safe is not an unsolvable problem.
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 codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble.
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
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
AlphaGo showed that for over 2,000 years human minds explored only a small part of the landscape of Go
Holds