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← Intelligence, in both brains and AI, may come from one building block repeated many times and shaped by experience.
17 connected korrents · 19 moments from 16 Jan 2015 to 17 Oct 2026.
Everything filed under scaling laws
scaling laws
Everything filed under AI alignment
AI alignment
Everything filed under measuring intelligence
measuring intelligence
Everything filed under AGI
AGI
Everything filed under AI and science
AI and science
Everything filed under AI and human skill
AI and human skill
Everything filed under creativity
creativity
Everything filed under physics
physics 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: Intelligence, in both brains and AI, may come from one building block repeated many times and shaped by experience. Intelligence, in both brains and AI, may come from one building block repeated many times and shaped by experience. Last stated 2 weeks ago
17 Oct 2026
LW
Luke Wroblewski — holds since 2026-10-17 — tap for who they are
Same subject: Intelligence is going to scale by exactly one thing, and that thing is compute. — tap to centre the map on it Intelligence is going to scale by exactly one thing, and that thing is compute. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Copying a trained digital mind into the next one matters far more than learning from people, because no child can inherit another child's learning. — tap to centre the map on it Copying a trained digital mind into the next one matters far more than learning from people, because no child can inherit another child's learning. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: The most fertile way to study neuroscience today is to work on AI models rather than on brains. — tap to centre the map on it The most fertile way to study neuroscience today is to work on AI models rather than on brains. Last stated 2 months ago
20 Aug 2026
KK
Kevin Kelly — holds since 2026-08-17 — tap for who they are
MH
Max Hodak — holds since 2026-08-20 — tap for who they are
Same subject: Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be. — tap to centre the map on it Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be. Last stated 11 months ago
18 Nov 2025
PG
Paul Graham — holds since 2024-10-01 — tap for who they are
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: AI-built products look very similar because the tools are all trained on the same material. — tap to centre the map on it AI-built products look very similar because the tools are all trained on the same material. Last stated 5 months ago
9 Jun 2026
RG
Ron Goldin — holds since 2026-06-09 — tap for who they are
Same subject: AI is grown rather than designed, which is why its overall behaviour resists any description we can fully understand. — tap to centre the map on it AI is grown rather than designed, which is why its overall behaviour resists any description we can fully understand. Last stated 2 months ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: The future is a variety of AIs each person works with, not one big super intelligence. — tap to centre the map on it The future is a variety of AIs each person works with, not one big super intelligence. Last stated 3 years ago
28 Sept 2023
MZ
Mark Zuckerberg — holds since 2023-09-28 — tap for who they are
Same subject: Intelligence looks like a fact of physics: apply enough compute to matter and you get something that thinks. — tap to centre the map on it Intelligence looks like a fact of physics: apply enough compute to matter and you get something that thinks. Last stated 2 months ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — 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 11 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 4 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 8 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A suitably advanced digital computer can acquire general intelligence. — tap to centre the map on it A suitably advanced digital computer can acquire general intelligence. Last stated 12 years ago
16 Jan 2015
SH
Sam Harris — holds since 2015-01-16 — tap for who they are
Same subject: A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. — tap to centre the map on it A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. Last stated 2 months ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it Being able to statistically predict what someone will say does not mean you understand them. Last stated a month ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — 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: 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 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 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
At the centre
Intelligence, in both brains and AI, may come from one building block repeated many times and shaped by experience.
Holds Read this korrent →
Intelligence is going to scale by exactly one thing, and that thing is compute.
Holds
Copying a trained digital mind into the next one matters far more than learning from people, because no child can inherit another child's learning.
Holds
The most fertile way to study neuroscience today is to work on AI models rather than on brains.
Holds
Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be.
Holds
AI-built products look very similar because the tools are all trained on the same material.
Holds
AI is grown rather than designed, which is why its overall behaviour resists any description we can fully understand.
Holds
The future is a variety of AIs each person works with, not one big super intelligence.
Holds
Intelligence looks like a fact of physics: apply enough compute to matter and you get something that thinks.
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
A suitably advanced digital computer can acquire general intelligence.
Holds
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Holds
Being able to statistically predict what someone will say does not mean you understand them.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
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 feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds