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← AI may make us poorer over the next few years by empowering bad actors and forcing sudden adaptation to new threats.
17 connected korrents · 18 moments from 10 Oct 2023 to 28 Oct 2026.
Everything filed under LLMs
LLMs
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AI alignment
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reinforcement learning
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optimism
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AI and jobs
Everything filed under AI agents
AI agents
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 may make us poorer over the next few years by empowering bad actors and forcing sudden adaptation to new threats. AI may make us poorer over the next few years by empowering bad actors and forcing sudden adaptation to new threats. Last stated yesterday
28 Oct 2026
PK
Paul Krugman — holds since 2026-10-28 — tap for who they are
Same subject: AI's long-run cost/benefit balance favors poorer people more than richer ones. — tap to centre the map on it AI's long-run cost/benefit balance favors poorer people more than richer ones. Last stated a month ago
23 Sept 2026
SS
Scott Sumner — holds since 2026-09-23 — tap for who they are
Same subject: AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse. — tap to centre the map on it AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse. Last stated a month ago
15 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-15 — tap for who they are
Same subject: The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. — tap to centre the map on it The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. Last stated 4 weeks ago
30 Sept 2026
RC
Rui Carmo — holds since 2026-09-30 — 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: Given the current pace of AI capabilities relative to governance, society will at best avoid only the worst-case outcomes, not the merely very bad ones. — tap to centre the map on it Given the current pace of AI capabilities relative to governance, society will at best avoid only the worst-case outcomes, not the merely very bad ones. Last stated 8 months ago
22 Feb 2026
MB
Miles Brundage — holds since 2026-02-22 — tap for who they are
Same subject: No one fully understands the consequences of how capable AI is becoming. — tap to centre the map on it No one fully understands the consequences of how capable AI is becoming. Last stated 2 months ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: AI capabilities will either remain below human or quickly become 100x cheaper than human. — tap to centre the map on it AI capabilities will either remain below human or quickly become 100x cheaper than human. Last stated 3 weeks ago
8 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-08 — tap for who they are
Same subject: Misaligned AI behaviour will keep getting rarer and, at the same time, keep getting more extreme. — tap to centre the map on it Misaligned AI behaviour will keep getting rarer and, at the same time, keep getting more extreme. Last stated 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — 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 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 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 may make us poorer over the next few years by empowering bad actors and forcing sudden adaptation to new threats.
Holds Read this korrent →
AI's long-run cost/benefit balance favors poorer people more than richer ones.
Holds
AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse.
Holds
The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
Given the current pace of AI capabilities relative to governance, society will at best avoid only the worst-case outcomes, not the merely very bad ones.
Holds
No one fully understands the consequences of how capable AI is becoming.
Holds
AI capabilities will either remain below human or quickly become 100x cheaper than human.
Holds
Misaligned AI behaviour will keep getting rarer and, at the same time, keep getting more extreme.
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