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← Every machine-learning deployment that has paid off so far left a…
17 connected korrents · 16 moments from 9 Aug 2022 to 1 Oct 2026.
Everything filed under AI agents
AI agents
Everything filed under LLMs
LLMs
Everything filed under behavioural science
behavioural science
Everything filed under AI alignment
AI alignment 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: 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. 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: AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough. — tap to centre the map on it AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough. Last stated 7 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — 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: People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore. — tap to centre the map on it People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore. Last stated a month ago
18 Sept 2026
HD
Horace Dediu — holds since 2026-09-18 — tap for who they are
Same subject: The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call. — tap to centre the map on it The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call. Last stated a month ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: Current AI coding models make poor decisions despite strong mechanical execution — tap to centre the map on it Current AI coding models make poor decisions despite strong mechanical execution Last stated 4 months ago
1 Jul 2026
JB
Jamie Brandon — holds since 2026-07-01 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right. — tap to centre the map on it AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right. Last stated 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
Same subject: The biggest source of confusion about whether AI models are good or bad is that people judge them from wildly different codebases, languages, teams, and usage levels. — tap to centre the map on it The biggest source of confusion about whether AI models are good or bad is that people judge them from wildly different codebases, languages, teams, and usage levels. Last stated 3 weeks ago
1 Oct 2026
TB
Thorsten Ball — holds since 2026-10-01 — 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
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 real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish. — tap to centre the map on it A real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish. Last stated a month ago
20 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-20 — 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 2 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — tap for who they are
Same subject: AI agents should draft work on a person's behalf but never send or act as if they were that person. — tap to centre the map on it AI agents should draft work on a person's behalf but never send or act as if they were that person. Last stated 5 months ago
18 May 2026
JL
Jason Liu — holds since 2026-05-18 — tap for who they are
Same subject: At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. — tap to centre the map on it At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad. — tap to centre the map on it If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad. Last stated a month ago
12 Sept 2026
SW
Simon Willison — holds since 2026-09-12 — tap for who they are
Same subject: In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective. — tap to centre the map on it In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective. Last stated 2 months ago
31 Aug 2026
VR
Venkatesh Rao — holds since 2026-08-31 — tap for who they are
At the centre
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 Read this korrent →
AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough.
Holds
Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut.
Holds
People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore.
Holds
The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call.
Holds
Current AI coding models make poor decisions despite strong mechanical execution
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds
AI models can produce competent-looking software but cannot judge which problems are worth solving or which solutions are right.
Holds
The biggest source of confusion about whether AI models are good or bad is that people judge them from wildly different codebases, languages, teams, and usage levels.
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 real friend will eventually refuse to help, and later turn on you, if you are sufficiently evil or selfish.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
AI agents should draft work on a person's behalf but never send or act as if they were that person.
Holds
At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse.
Holds
If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad.
Holds
In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective.
Holds