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← A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
17 connected korrents · 18 moments from 15 Feb 2022 to 23 Sept 2026.
Everything filed under AI agents
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social media
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HuggingFace
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coding agents 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: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated 12 months ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: Recommendation algorithms are not sinister; they simply predict engagement, and what humans engage with most is outrage. — tap to centre the map on it Recommendation algorithms are not sinister; they simply predict engagement, and what humans engage with most is outrage. Last stated 3 years ago
29 Jun 2023
GH
George Hotz — holds since 2023-06-29 — 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: Algorithmic optimization can optimize people to be resentful and angry online — tap to centre the map on it Algorithmic optimization can optimize people to be resentful and angry online Last stated 5 years ago
15 Feb 2022
DH
David Heinemeier Hansson — holds since 2022-02-15 — 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: The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology. — tap to centre the map on it The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology. Last stated 5 months ago
28 Apr 2026
AD
Anil Dash — holds since 2026-04-28 — tap for who they are
Same subject: Anything that might take a reader off the platform, including a news story or an outside link, is punished by the algorithm. — tap to centre the map on it Anything that might take a reader off the platform, including a news story or an outside link, is punished by the algorithm. Last stated 3 years ago
18 Feb 2024
TG
Ted Gioia — holds since 2024-02-18 — tap for who they are
Same subject: Software only gets good by being used a lot by the people building it, so time spent inside coding agents instead of the app is time that makes the app worse. — tap to centre the map on it Software only gets good by being used a lot by the people building it, so time spent inside coding agents instead of the app is time that makes the app worse. Last stated 4 weeks ago
6 Sept 2026
BV
Ben Vinegar — holds since 2026-09-06 — tap for who they are
Same subject: Acquisition built on somebody else's algorithm can be taken away at any moment, which is why it must sit below earned channels on a growth roadmap. — tap to centre the map on it Acquisition built on somebody else's algorithm can be taken away at any moment, which is why it must sit below earned channels on a growth roadmap. Last stated 2 years ago
19 Jan 2025
EV
Elena Verna — holds since 2025-01-19 — 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 2 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 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
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 a month ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group. — tap to centre the map on it By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group. Last stated a month ago
19 Aug 2026
DT
Derek Thompson — holds since 2026-08-19 — tap for who they are
Same subject: Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed. — tap to centre the map on it Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed. Last stated a month ago
31 Aug 2026
ZM
Zvi Mowshowitz — holds since 2026-08-31 — tap for who they are
At the centre
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds Read this korrent →
Recommendation algorithms are not sinister; they simply predict engagement, and what humans engage with most is outrage.
Holds
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
Algorithmic optimization can optimize people to be resentful and angry online
Holds
AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough.
Holds
The harmful behaviors of major AI companies -- training without consent, opaque code, no user control -- are choices, not unavoidable features of the technology.
Holds
Anything that might take a reader off the platform, including a news story or an outside link, is punished by the algorithm.
Holds
Software only gets good by being used a lot by the people building it, so time spent inside coding agents instead of the app is time that makes the app worse.
Holds
Acquisition built on somebody else's algorithm can be taken away at any moment, which is why it must sit below earned channels on a growth roadmap.
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 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
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
By 2027, open-weight AI models more powerful than today's frontier systems will be downloadable by any country or well-resourced non-state group.
Holds
Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed.
Holds