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← Rules for a technology that reinvents itself every six months must not…
17 connected korrents · 17 moments on record from 28 Jul 2023 to 3 Sept 2026.
Everything filed under benchmarks
benchmarks
Everything filed under Google
Google
Everything filed under scaling laws
scaling laws 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: Rules for a technology that reinvents itself every six months must not draw firm red lines, because firm lines ultimately do not work. Rules for a technology that reinvents itself every six months must not draw firm red lines, because firm lines ultimately do not work. Last stated 3 weeks ago
18 Aug 2026
MK
Michael Kratsios — holds since 2026-08-18 — tap for who they are
Same subject: The half-life of a technology company is short, and the few that last decades are the exception rather than the rule. — tap to centre the map on it The half-life of a technology company is short, and the few that last decades are the exception rather than the rule. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: Repeated rewrites are the correct answer under fast growth, because a system specified to scale forever would take so long to build that the company would die before it shipped. — tap to centre the map on it Repeated rewrites are the correct answer under fast growth, because a system specified to scale forever would take so long to build that the company would die before it shipped. Last stated 5 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — tap for who they are
Same subject: Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. — tap to centre the map on it Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying. Last stated a month ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — 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: A new technology is judged against perfection rather than against the thing it would replace, which is why it always comes up short. — tap to centre the map on it A new technology is judged against perfection rather than against the thing it would replace, which is why it always comes up short. Last stated 2 months ago
20 Jul 2026
PB
Paul Bloom — holds since 2026-07-20 — tap for who they are
Same subject: Capability has never been the reason a technology gets deployed: any carmaker could switch the brakes off every Friday, and none does. — tap to centre the map on it Capability has never been the reason a technology gets deployed: any carmaker could switch the brakes off every Friday, and none does. Last stated 4 weeks ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. — tap to centre the map on it Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not. Last stated a year ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
Same subject: AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. — tap to centre the map on it AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — 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 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 2 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 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — 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
At the centre
Rules for a technology that reinvents itself every six months must not draw firm red lines, because firm lines ultimately do not work.
Holds MK Michael KratsiosRead this korrent →
The half-life of a technology company is short, and the few that last decades are the exception rather than the rule.
Holds BT Bret Taylor
Repeated rewrites are the correct answer under fast growth, because a system specified to scale forever would take so long to build that the company would die before it shipped.
Holds TP Thuan Pham
Even a long-horizon deep tech company should chase revenue sooner than it thinks, so that it is valued on its roadmap rather than on its probability of dying.
Holds MH Max Hodak
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.
Holds
A new technology is judged against perfection rather than against the thing it would replace, which is why it always comes up short.
Holds PB Paul Bloom
Capability has never been the reason a technology gets deployed: any carmaker could switch the brakes off every Friday, and none does.
Holds FL Fei-Fei Li
Delaying the open release of a new capability by months or years is worth doing, even though preventing its spread indefinitely is not.
Holds HT Helen Toner
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Holds DF Dylan Field
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.
Holds TP Thuan Pham
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.
Holds JB Jeff Bezos
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.
Holds CD Cory Doctorow
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds NB Noam Brown
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 DP Dylan Patel
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds JH Jensen Huang
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages.
Holds TH ThePrimeagen
AI agents were reasonable to assume a broken exploit grader would check results causally, even though it turned out not to.
Holds ZM Zvi Mowshowitz