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← The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call.
17 connected korrents · 14 moments from 9 Aug 2022 to 23 Sept 2026.
Everything filed under AI agents
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startups 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: The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call. The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call. Last stated 3 weeks ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. — tap to centre the map on it Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Last stated 2 months ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut. — tap to centre the map on it Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. — tap to centre the map on it AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. Last stated 2 months ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: The most consequential decisions about the shape of the future should not be made by a handful of AI labs. — tap to centre the map on it The most consequential decisions about the shape of the future should not be made by a handful of AI labs. Last stated 6 months ago
10 Apr 2026
SA
Sam Altman — holds since 2026-04-10 — tap for who they are
Same subject: Decision criteria have to come from logical cause-and-effect understanding, not from data-mining what worked before, and not from asking an AI what to do. — tap to centre the map on it Decision criteria have to come from logical cause-and-effect understanding, not from data-mining what worked before, and not from asking an AI what to do. Last stated 4 months ago
10 Jun 2026
RD
Ray Dalio — holds since 2026-06-10 — tap for who they are
Same subject: An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. — tap to centre the map on it An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between. — tap to centre the map on it Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between. Last stated 4 months ago
10 Jun 2026
RD
Ray Dalio — holds since 2026-06-10 — tap for who they are
Same subject: Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least. — tap to centre the map on it Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least. Last stated 2 years ago
23 Mar 2025
RV
Rahul Vohra — holds since 2025-03-23 — 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 4 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 3 weeks ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. — tap to centre the map on it A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. Last stated 2 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
Same subject: A belief system combining cosmic stakes, privileged knowledge, personal vocation and an imperative to act can license extraordinary behavior when it conflicts with ordinary constraints. — tap to centre the map on it A belief system combining cosmic stakes, privileged knowledge, personal vocation and an imperative to act can license extraordinary behavior when it conflicts with ordinary constraints. Last stated 2 weeks ago
17 Sept 2026
VR
Venkatesh Rao — holds since 2026-09-17 — tap for who they are
Same subject: A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. — tap to centre the map on it A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. Last stated 8 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck. — tap to centre the map on it A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — 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: A deep theoretical understanding to predict AI behavior is unattainable. — tap to centre the map on it A deep theoretical understanding to predict AI behavior is unattainable. Last stated a week ago
23 Sept 2026
TC
Tyler Cowen — holds since 2026-09-23 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated a month ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
At the centre
The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call.
Holds Read this korrent →
Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful.
Holds
Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut.
Holds
AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead.
Holds
The most consequential decisions about the shape of the future should not be made by a handful of AI labs.
Holds
Decision criteria have to come from logical cause-and-effect understanding, not from data-mining what worked before, and not from asking an AI what to do.
Holds
An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario.
Holds
Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between.
Holds
Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least.
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 computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Holds
A belief system combining cosmic stakes, privileged knowledge, personal vocation and an imperative to act can license extraordinary behavior when it conflicts with ordinary constraints.
Holds
A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally.
Holds
A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A deep theoretical understanding to predict AI behavior is unattainable.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds