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← People are more likely to work through major life problems when they…
17 connected korrents · 18 moments on record from 5 Nov 2019 to 15 Sept 2026.
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measuring intelligence
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scaling laws 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: People are more likely to work through major life problems when they have at least one person they can confide in and who supports them. People are more likely to work through major life problems when they have at least one person they can confide in and who supports them. Last stated 2 weeks ago
8 Sept 2026
AH
Ava Huang — holds since 2026-09-08 — tap for who they are
Same subject: Most workplace problems have more than one person contributing to them, not a single culprit. — tap to centre the map on it Most workplace problems have more than one person contributing to them, not a single culprit. Last stated 3 years ago
25 Feb 2024
BK
Ben Kuhn — holds since 2024-02-25 — tap for who they are
Same subject: When someone gets the same negative reaction from many different people, the more likely explanation is their own behavior, not everyone else's. — tap to centre the map on it When someone gets the same negative reaction from many different people, the more likely explanation is their own behavior, not everyone else's. Last stated a week ago
14 Sept 2026
AH
Ava Huang — holds since 2026-09-14 — tap for who they are
Same subject: The person receiving advice usually knows more about their own situation than the person giving it does. — tap to centre the map on it The person receiving advice usually knows more about their own situation than the person giving it does. Last stated a year ago
26 May 2025
NN
Neel Nanda — holds since 2025-05-26 — tap for who they are
Same subject: We will spend more of our working hours talking to AIs than to other people, but AI companionship should not be the answer to loneliness. — tap to centre the map on it We will spend more of our working hours talking to AIs than to other people, but AI companionship should not be the answer to loneliness. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: People cannot thrive while their primary psychological identification is with the news cycle rather than with their own lives. — tap to centre the map on it People cannot thrive while their primary psychological identification is with the news cycle rather than with their own lives. Last stated 5 years ago
by 16 Aug 2021
OB
Oliver Burkeman — holds since 2021-08-16 — tap for who they are
Same subject: Most people are fundamentally good, which makes the risk of trusting them worth taking. — tap to centre the map on it Most people are fundamentally good, which makes the risk of trusting them worth taking. Last stated 3 years ago
9 Mar 2024
MM
Mark Manson — holds since 2024-03-09 — tap for who they are
Same subject: Many of society's problems stem from how people communicate online, not just what they discuss. — tap to centre the map on it Many of society's problems stem from how people communicate online, not just what they discuss. Last stated 3 months ago
14 Jun 2026
JJ
Justin Jackson — holds since 2026-06-14 — tap for who they are
Same subject: Many highly intelligent people tend to be insecure and risk-averse. — tap to centre the map on it Many highly intelligent people tend to be insecure and risk-averse. Last stated 5 years ago
22 Feb 2022
NN
Neel Nanda — holds since 2022-02-22 — 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 2 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 a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
People are more likely to work through major life problems when they have at least one person they can confide in and who supports them.
Holds Read this korrent →
Most workplace problems have more than one person contributing to them, not a single culprit.
Holds
When someone gets the same negative reaction from many different people, the more likely explanation is their own behavior, not everyone else's.
Holds
The person receiving advice usually knows more about their own situation than the person giving it does.
Holds
We will spend more of our working hours talking to AIs than to other people, but AI companionship should not be the answer to loneliness.
Holds
People cannot thrive while their primary psychological identification is with the news cycle rather than with their own lives.
Holds
Most people are fundamentally good, which makes the risk of trusting them worth taking.
Holds
Many of society's problems stem from how people communicate online, not just what they discuss.
Holds
Many highly intelligent people tend to be insecure and risk-averse.
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
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds