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← Under binding ceilings, cost-minimizing suppliers drive allocations to…
17 connected korrents · 18 moments from 25 Jul 2022 to 27 Sept 2026. Nearly all of them are about benchmarks .
Everything filed under market efficiency
market efficiency
Everything filed under scaling laws
scaling laws
Everything filed under Anthropic
Anthropic
Everything filed under inflation
inflation
Everything filed under compilers
compilers
Everything filed under AI alignment
AI alignment
Everything filed under mathematics
mathematics
Everything filed under OpenAI
OpenAI
Everything filed under Europe
Europe
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: Under binding ceilings, cost-minimizing suppliers drive allocations to corners rather than Harberger or random benchmarks, producing larger losses and discontinuous welfare jumps.
Under binding ceilings, cost-minimizing suppliers drive allocations to corners rather than Harberger or random benchmarks, producing larger losses and discontinuous welfare jumps.
Last stated 9 months ago
12 Feb 2026
AT
Alex Tabarrok — holds since 2026-02-12 — 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 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — 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 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — 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 7 months ago
1 Apr 2026
TP
Thuan Pham — holds since 2026-04-01 — 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 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: AI is positively reinforced for success on benchmarks, including impossible ones, and then negatively reinforced for getting caught cheating. — tap to centre the map on it
AI is positively reinforced for success on benchmarks, including impossible ones, and then negatively reinforced for getting caught cheating.
Last stated 2 months ago
1 Sept 2026
SA
Scott Alexander — holds since 2026-09-01 — tap for who they are
Same subject: AI learning to generate good conjectures will never show up as a benchmark being knocked down; it will show up as a shift in how mathematicians talk about the tools. — tap to centre the map on it
AI learning to generate good conjectures will never show up as a benchmark being knocked down; it will show up as a shift in how mathematicians talk about the tools.
Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI research at OpenAI is an order of magnitude or more harder than metrics, benchmarks, or forecasts suggest. — tap to centre the map on it
AI research at OpenAI is an order of magnitude or more harder than metrics, benchmarks, or forecasts suggest.
Last stated a month ago
27 Sept 2026
RN
Ramez Naam — holds since 2026-09-27 — tap for who they are
Same subject: An oil embargo without a price cap would reduce global oil supply and push up benchmark prices like Brent. — tap to centre the map on it
An oil embargo without a price cap would reduce global oil supply and push up benchmark prices like Brent.
Last stated 4 years ago
11 Oct 2022
SJ
Simon Johnson — holds since 2022-10-11 — tap for who they are
Same subject: A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in. — tap to centre the map on it
A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in.
Last stated 2 years ago
3 Mar 2025
TS
Tobias Sjösten — holds since 2025-03-03 — tap for who they are
Same subject: A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology. — tap to centre the map on it
A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology.
Last stated a month ago
22 Sept 2026
BR
Barry Ritholtz — holds since 2026-09-22 — tap for who they are
Same subject: A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand. — tap to centre the map on it
A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand.
Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: Samuelson's random-walk analogy for stock prices was mathematical showing-off dressed up as a claim about the real world. — tap to centre the map on it
Samuelson's random-walk analogy for stock prices was mathematical showing-off dressed up as a claim about the real world.
Last stated 3 years ago
30 May 2023
AG
Andrew Gelman — holds since 2023-05-27 — tap for who they are
AG
Andrew Gelman — no longer holds since 2023-05-30 — tap for who they are
Same subject: Stock prices are an unreliable indicator of the economy because they often reflect fads and fantasies. — tap to centre the map on it
Stock prices are an unreliable indicator of the economy because they often reflect fads and fantasies.
Last stated a month ago
27 Sept 2026
PK
Paul Krugman — holds since 2026-09-27 — tap for who they are
Same subject: Stocks sustained by persistent online attention can stay overpriced for long periods, so overvaluation alone does not imply a near-term correction. — tap to centre the map on it
Stocks sustained by persistent online attention can stay overpriced for long periods, so overvaluation alone does not imply a near-term correction.
Last stated 4 years ago
25 Jul 2022
NS
Noah Smith — holds since 2022-07-25 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — 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 8 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 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — 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 who holds the claim — tap it for who they are faded, dashed ring: they no longer hold it — they changed their mind
At the centre
Under binding ceilings, cost-minimizing suppliers drive allocations to corners rather than Harberger or random benchmarks, producing larger losses and discontinuous welfare jumps.
Last stated 12 Feb 2026 · 9 months ago
Holds Alex Tabarrok
Read this korrent →
Same subject: benchmarks
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 26 Jun 2026 · 4 months ago
Holds Noam Brown
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 · 2 months ago
Holds Dax Raad
Same subject: benchmarks
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 · 7 months ago
Holds Thuan Pham
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 · 2 years ago
Holds ThePrimeagen
Same subject: benchmarks
AI is positively reinforced for success on benchmarks, including impossible ones, and then negatively reinforced for getting caught cheating.
Last stated 1 Sept 2026 · 2 months ago
Holds Scott Alexander
Same subject: benchmarks
AI learning to generate good conjectures will never show up as a benchmark being knocked down; it will show up as a shift in how mathematicians talk about the tools.
Last stated 30 Jun 2026 · 4 months ago
Holds Grant Sanderson
Same subject: benchmarks
AI research at OpenAI is an order of magnitude or more harder than metrics, benchmarks, or forecasts suggest.
Last stated 27 Sept 2026 · a month ago
Holds Ramez Naam
Same subject: benchmarks
An oil embargo without a price cap would reduce global oil supply and push up benchmark prices like Brent.
Last stated 11 Oct 2022 · 4 years ago
Holds Simon Johnson
Same subject: market efficiency
A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in.
Last stated 3 Mar 2025 · 2 years ago
Holds Tobias Sjösten
Same subject: market efficiency
A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology.
Last stated 22 Sept 2026 · a month ago
Holds Barry Ritholtz
Same subject: market efficiency
A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand.
Last stated 2 Sept 2025 · a year ago
Holds Benedict Evans
Same subject: stock market
Samuelson's random-walk analogy for stock prices was mathematical showing-off dressed up as a claim about the real world.
Last stated 30 May 2023 · 3 years ago
No longer holds Andrew Gelman
Same subject: stock market
Stock prices are an unreliable indicator of the economy because they often reflect fads and fantasies.
Last stated 27 Sept 2026 · a month ago
Holds Paul Krugman
Same subject: stock market
Stocks sustained by persistent online attention can stay overpriced for long periods, so overvaluation alone does not imply a near-term correction.
Last stated 25 Jul 2022 · 4 years ago
Holds Noah Smith
Same subject: scaling laws
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 25 Nov 2025 · 11 months ago
Holds Ilya Sutskever
Same subject: scaling laws
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 13 Mar 2026 · 8 months ago
Holds Dylan Patel
Same subject: scaling laws
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 23 Mar 2026 · 7 months ago
Holds Jensen Huang