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← AI can learn and exploit regularities in weather patterns that are too diffuse and complex for humans to grasp.
17 connected korrents · 18 moments from 13 May 2007 to 11 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under curiosity
curiosity
Everything filed under AI alignment
AI alignment
Everything filed under mathematics
mathematics
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: AI can learn and exploit regularities in weather patterns that are too diffuse and complex for humans to grasp. AI can learn and exploit regularities in weather patterns that are too diffuse and complex for humans to grasp. Last stated yesterday
11 Oct 2026
NS
Noah Smith — holds since 2026-10-11 — tap for who they are
Same subject: AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone. — tap to centre the map on it AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. Last stated a month ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — 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 a month ago
10 Sept 2026
KS
Karri Saarinen — holds since 2026-09-10 — tap for who they are
Same subject: AI can use brute force to solve problems in ways that humans cannot. — tap to centre the map on it AI can use brute force to solve problems in ways that humans cannot. Last stated 3 days ago
9 Oct 2026
MS
M.G. Siegler — holds since 2026-10-09 — tap for who they are
Same subject: What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. — tap to centre the map on it What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: You cannot build an AI that has only the capabilities you want, because the algorithms that solve the problems you want generalize to the ones you do not. — tap to centre the map on it You cannot build an AI that has only the capabilities you want, because the algorithms that solve the problems you want generalize to the ones you do not. Last stated 4 years ago
10 Jun 2022
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
Same subject: Restricting general deep-learning AIs with rules will not work, for the same reason simple rules fail on sprawling ecosystems. — tap to centre the map on it Restricting general deep-learning AIs with rules will not work, for the same reason simple rules fail on sprawling ecosystems. Last stated 3 years ago
25 May 2023
NQ
Nabeel S. Qureshi — holds since 2023-05-25 — tap for who they are
Same subject: AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. — tap to centre the map on it AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: A slot machine triggers the brain’s learning and curiosity pathways while teaching nothing, and that one-way exchange is what makes it contemptuous of the player. — tap to centre the map on it A slot machine triggers the brain’s learning and curiosity pathways while teaching nothing, and that one-way exchange is what makes it contemptuous of the player. Last stated 13 years ago
3 Jul 2013
RK
Raph Koster — holds since 2013-07-03 — tap for who they are
Same subject: Acquiring insight into how things work is a worthwhile effort in itself, not only for any payoff — tap to centre the map on it Acquiring insight into how things work is a worthwhile effort in itself, not only for any payoff Last stated 19 years ago
17 Oct 2007
PB
Peter Bevelin — holds since 2007-10-17 — tap for who they are
Same subject: Advancing in life depends more on what one learns later than on what one already knows — tap to centre the map on it Advancing in life depends more on what one learns later than on what one already knows Last stated 19 years ago
13 May 2007
CM
Charlie Munger — holds since 2007-05-13 — 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 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 model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — 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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated 4 weeks ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
At the centre
AI can learn and exploit regularities in weather patterns that are too diffuse and complex for humans to grasp.
Holds Read this korrent →
AI learns from patterns, so where the patterns are scarce, as in liver surgery, a human working with the machine beats the machine working alone.
Holds
AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away.
Holds
People often seem to focus on what AI can execute and not on what it can teach them.
Holds
AI can use brute force to solve problems in ways that humans cannot.
Holds
What AI still cannot do in mathematics is build cumulatively on partial progress; it is trial, error and brute force rather than an idea improving through use.
Holds
You cannot build an AI that has only the capabilities you want, because the algorithms that solve the problems you want generalize to the ones you do not.
Holds
Restricting general deep-learning AIs with rules will not work, for the same reason simple rules fail on sprawling ecosystems.
Holds
AI helps exactly as far as the work is predictable and well documented, and stops helping on anything cutting edge.
Holds
A slot machine triggers the brain’s learning and curiosity pathways while teaching nothing, and that one-way exchange is what makes it contemptuous of the player.
Holds
Acquiring insight into how things work is a worthwhile effort in itself, not only for any payoff
Holds
Advancing in life depends more on what one learns later than on what one already knows
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 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 model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds