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← Purely digital progress runs out: to keep learning, the machines will…
17 connected korrents · 15 moments on record from 28 Oct 2011 to 18 Aug 2026.
Everything filed under mathematics
mathematics
Everything filed under robotics
robotics
Everything filed under LLMs
LLMs
Everything filed under AI and science
AI and science 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: Purely digital progress runs out: to keep learning, the machines will have to run experiments and ask the universe questions. Purely digital progress runs out: to keep learning, the machines will have to run experiments and ask the universe questions. Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: The useful question about robot data is not how much is needed to finish but how much is needed to start a self-sustaining flywheel. — tap to centre the map on it The useful question about robot data is not how much is needed to finish but how much is needed to start a self-sustaining flywheel. Last stated 12 months ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — 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 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: Progress is not driven mainly by material resources, so running out of them is not what would stop it. — tap to centre the map on it Progress is not driven mainly by material resources, so running out of them is not what would stop it. Last stated 6 years ago
12 Sept 2020
JC
Jason Crawford — holds since 2020-09-12 — tap for who they are
Same subject: You only fail if you stop; iteration that keeps going is not failure, it is learning. — tap to centre the map on it You only fail if you stop; iteration that keeps going is not failure, it is learning. Last stated 3 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — tap for who they are
Same subject: You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning. — tap to centre the map on it You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. — tap to centre the map on it AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on. — tap to centre the map on it If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on. Last stated 4 weeks ago
8 Aug 2026
PL
Pieter Levels — holds since 2026-08-08 — tap for who they are
Same subject: An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop. — tap to centre the map on it An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop. Last stated 3 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. — tap to centre the map on it A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. Last stated 2 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 2 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: Academic credentials — grades, major, the prestige of the degree — barely matter to industry hiring. — tap to centre the map on it Academic credentials — grades, major, the prestige of the degree — barely matter to industry hiring. Last stated 15 years ago
28 Oct 2011
PM
Patrick McKenzie — holds since 2011-10-28 — tap for who they are
Same subject: A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas. — tap to centre the map on it A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas. Last stated 3 years ago
1 Oct 2023
TC
Tyler Cowen — holds since 2023-10-01 — tap for who they are
Same subject: A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it. — tap to centre the map on it A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it. Last stated a year ago
6 Apr 2025
MH
Molson Hart — holds since 2025-04-06 — tap for who they are
Same subject: A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases. — tap to centre the map on it A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases. Last stated a month ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. — tap to centre the map on it AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that. — tap to centre the map on it AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that. Last stated a year ago
14 Jun 2025
LF
Lex Fridman — holds since 2025-06-14 — tap for who they are
Same subject: AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different. — tap to centre the map on it AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different. Last stated 3 weeks ago
18 Aug 2026
MK
Michael Kratsios — holds since 2026-08-18 — tap for who they are
At the centre
Purely digital progress runs out: to keep learning, the machines will have to run experiments and ask the universe questions.
Holds Read this korrent →
The useful question about robot data is not how much is needed to finish but how much is needed to start a self-sustaining flywheel.
Holds SL Sergey Levine
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 TT Terence Tao
Progress is not driven mainly by material resources, so running out of them is not what would stop it.
Holds JC Jason Crawford
You only fail if you stop; iteration that keeps going is not failure, it is learning.
Holds TF Tony Fadell
You only retain what you were pushed to your limit on: if learning feels like coasting, you are not learning.
Holds CR Charan Ranganath
AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it.
Holds DH Demis Hassabis
If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on.
Holds
An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop.
Holds MZ Mark Zuckerberg
A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved.
Holds GS Grant Sanderson
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds GS Grant Sanderson
Academic credentials — grades, major, the prestige of the degree — barely matter to industry hiring.
Holds PM Patrick McKenzie
A highly dynamic economy that cheaply mass-produces robots may increase rather than decrease the risk of Malthusian resource dilemmas.
Holds TC Tyler Cowen
A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it.
Holds MH Molson Hart
A physical AI agent has to be safe on day one, because you cannot ship something merely good enough and let users find the edge cases.
Holds DD Dmitri Dolgov
AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder.
Holds TT Terence Tao
AI in chess and mathematics does not explain anything; it says which position is better, and humans build the theory from that.
Holds LF Lex Fridman
AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different.
Holds MK Michael Kratsios