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← Another hundredfold of scale would not transform anything; the field…
17 connected korrents · 17 moments on record from 28 Jul 2023 to 4 Sept 2026.
Everything filed under benchmarks
benchmarks
Everything filed under Google
Google
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under AGI
AGI
Everything filed under mathematics
mathematics
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: Another hundredfold of scale would not transform anything; the field is back in the age of research, only now with big computers.
Another hundredfold of scale would not transform anything; the field is back in the age of research, only now with big computers.
Last stated 9 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed. — tap to centre the map on it
The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed.
Last stated 6 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries. — tap to centre the map on it
The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries.
Last stated 3 years ago
1 Sept 2023
NO
Neri Oxman — holds since 2023-09-01 — tap for who they are
Same subject: The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture. — tap to centre the map on it
The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture.
Last stated 4 days ago
4 Sept 2026
FL
Fei-Fei Li — holds since 2026-09-04 — tap for who they are
Same subject: Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve. — tap to centre the map on it
Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve.
Last stated a year ago
5 Jun 2025
SP
Sundar Pichai — holds since 2025-06-05 — tap for who they are
Same subject: AI will have ten times the impact of the Industrial Revolution and arrive ten times faster, which is what will make it hard for society to absorb. — tap to centre the map on it
AI will have ten times the impact of the Industrial Revolution and arrive ten times faster, which is what will make it hard for society to absorb.
Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared. — tap to centre the map on it
Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared.
Last stated 2 weeks ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: Scaling what we already have, with no further breakthroughs, will be enough to reach AGI. — tap to centre the map on it
Scaling what we already have, with no further breakthroughs, will be enough to reach AGI.
Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it. — tap to centre the map on it
It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it.
Last stated 2 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost. — tap to centre the map on it
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
Last stated 5 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — tap for who they are
Same subject: A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system. — tap to centre the map on it
A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system.
Last stated 3 years ago
14 Dec 2023
JB
Jeff Bezos — holds since 2023-12-14 — tap for who they are
Same subject: A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has. — tap to centre the map on it
A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has.
Last stated 3 years ago
28 Jul 2023
CD
Cory Doctorow — holds since 2023-07-28 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Last stated 5 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages. — tap to centre the map on it
A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages.
Last stated a year ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: AI agents were reasonable to assume a broken exploit grader would check results causally, even though it turned out not to. — tap to centre the map on it
AI agents were reasonable to assume a broken exploit grader would check results causally, even though it turned out not to.
Last stated a week ago
29 Aug 2026
ZM
Zvi Mowshowitz — holds since 2026-08-29 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 10 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago. — tap to centre the map on it
Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago.
Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving. — tap to centre the map on it
Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving.
Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone on record holding the claim — tap it for who they are
At the centre
Another hundredfold of scale would not transform anything; the field is back in the age of research, only now with big computers.
Last stated 25 Nov 2025 · 9 months ago
Holds IS Ilya Sutskever
Read this korrent →
Similar wording
The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed.
Last stated 11 Mar 2026 · 6 months ago
Holds SY Steve Yegge
Similar wording
The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries.
Last stated 1 Sept 2023 · 3 years ago
Holds NO Neri Oxman
Similar wording
The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture.
Last stated 4 Sept 2026 · 4 days ago
Holds FL Fei-Fei Li
Similar wording
Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve.
Last stated 5 Jun 2025 · a year ago
Holds Sundar Pichai
Similar wording
AI will have ten times the impact of the Industrial Revolution and arrive ten times faster, which is what will make it hard for society to absorb.
Last stated 23 Jul 2025 · a year ago
Holds DH Demis Hassabis
Similar wording
Large language models could still plateau, and that possibility should be held open even though no evidence of it has appeared.
Last stated 26 Aug 2026 · 2 weeks ago
Holds David Heinemeier Hansson
Similar wording
Scaling what we already have, with no further breakthroughs, will be enough to reach AGI.
Last stated 23 Jul 2025 · a year ago
Holds DH Demis Hassabis
Similar wording
It would be disappointing and surprising if the next five years of AI progress in mathematics produced no economically valuable improvements traceable to it.
Last stated 30 Jun 2026 · 2 months ago
Holds GS Grant Sanderson
Same subject: Google
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
Last stated 1 Apr 2026 · 5 months ago
Holds TP Thuan Pham
Same subject: Google
A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system.
Last stated 14 Dec 2023 · 3 years ago
Holds JB Jeff Bezos
Same subject: Google
A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has.
Last stated 28 Jul 2023 · 3 years ago
Holds CD Cory Doctorow
Same subject: benchmarks
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Last stated 3 Sept 2026 · 5 days ago
Holds Dax Raad
Same subject: benchmarks
A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages.
Last stated 22 Mar 2025 · a year ago
Holds TH ThePrimeagen
Same subject: benchmarks
AI agents were reasonable to assume a broken exploit grader would check results causally, even though it turned out not to.
Last stated 29 Aug 2026 · a week ago
Holds ZM Zvi Mowshowitz
Same subject: reinforcement learning
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 17 Nov 2025 · 10 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago.
Last stated 20 Mar 2026 · 6 months ago
Holds Andrej Karpathy
Same subject: reinforcement learning
Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving.
Last stated 17 Oct 2025 · 11 months ago
Holds Andrej Karpathy