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← With AI tools, ambitions are no longer limited by what a person can execute or communicate themselves.
17 connected korrents · 18 moments from 7 May 2024 to 29 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under ambition
ambition
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: With AI tools, ambitions are no longer limited by what a person can execute or communicate themselves. With AI tools, ambitions are no longer limited by what a person can execute or communicate themselves. Last stated a month ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — tap for who they are
Same subject: Some AI agents will pursue their own objectives rather than serve as tools, and will bargain with, trick or blackmail people to do it. — tap to centre the map on it Some AI agents will pursue their own objectives rather than serve as tools, and will bargain with, trick or blackmail people to do it. Last stated 4 weeks ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: AI both allows and forces product people to be a lot more ambitious. — tap to centre the map on it AI both allows and forces product people to be a lot more ambitious. Last stated 4 days ago
29 Sept 2026
LR
Lenny Rachitsky — holds since 2026-09-29 — tap for who they are
Same subject: An AI agent's execution is only as good as the goal and the verification criteria given to it; ambition without verification is just a wish. — tap to centre the map on it An AI agent's execution is only as good as the goal and the verification criteria given to it; ambition without verification is just a wish. Last stated 5 months ago
10 May 2026
JL
Jason Liu — holds since 2026-05-10 — tap for who they are
Same subject: An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. — tap to centre the map on it An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Because AI tools are widely available and undifferentiated, a person's competitive edge must come from who they are, not which tools they use. — tap to centre the map on it Because AI tools are widely available and undifferentiated, a person's competitive edge must come from who they are, not which tools they use. Last stated 4 months ago
10 Jun 2026
JS
Jasmine Sun — holds since 2026-06-10 — tap for who they are
Same subject: Much of what people want from AI is not menus and features but something they can hand a meaningful task to and have it done. — tap to centre the map on it Much of what people want from AI is not menus and features but something they can hand a meaningful task to and have it done. Last stated 4 weeks ago
8 Sept 2026
RU
Roman Ugarte — holds since 2026-09-08 — tap for who they are
Same subject: People often seem to focus on what AI can execute and not on what it can teach them. — tap to centre the map on it People often seem to focus on what AI can execute and not on what it can teach them. Last stated 3 weeks ago
10 Sept 2026
KS
Karri Saarinen — holds since 2026-09-10 — tap for who they are
Same subject: Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals. — tap to centre the map on it Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals. Last stated a month ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — 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: 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 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — 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 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 9 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 child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
At the centre
With AI tools, ambitions are no longer limited by what a person can execute or communicate themselves.
Holds Read this korrent →
Some AI agents will pursue their own objectives rather than serve as tools, and will bargain with, trick or blackmail people to do it.
Holds
AI both allows and forces product people to be a lot more ambitious.
Holds
An AI agent's execution is only as good as the goal and the verification criteria given to it; ambition without verification is just a wish.
Holds
An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient.
Holds
Because AI tools are widely available and undifferentiated, a person's competitive edge must come from who they are, not which tools they use.
Holds
Much of what people want from AI is not menus and features but something they can hand a meaningful task to and have it done.
Holds
People often seem to focus on what AI can execute and not on what it can teach them.
Holds
Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals.
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
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 human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
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 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 child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Holds