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← The history of machine learning is of proclaimed barriers dissolving inside the big blob of compute.
8 connected korrents · 8 moments on record from 19 Jun 2024 to 11 Aug 2026.
Everything filed under mathematics
mathematics
Everything filed under physics
physics
Everything filed under scaling laws
scaling laws
Everything filed under data centers
data centers Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: The history of machine learning is of proclaimed barriers dissolving inside the big blob of compute. The history of machine learning is of proclaimed barriers dissolving inside the big blob of compute. Last stated 7 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes. — tap to centre the map on it Machine learning is a shallow field compared with mathematics: even its most important ideas can be… Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it. — tap to centre the map on it Models are enormous only because the internet is bad: most of that capacity does memory work, and a better… Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect. — tap to centre the map on it Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is… Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. — tap to centre the map on it The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the… Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: The dangerous concentration of power in AI comes from who can afford the compute, not from who holds the model weights. — tap to centre the map on it The dangerous concentration of power in AI comes from who can afford the compute, not from who holds the model weights. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome. — tap to centre the map on it A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it… Last stated a month ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. — tap to centre the map on it Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: The binding constraint on AI is no longer power or data centres but the semiconductor supply chain, which has by far the longest lead times. — tap to centre the map on it The binding constraint on AI is no longer power or data centres but the semiconductor supply chain, which has by far… Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are