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← "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
17 connected korrents · 17 moments from 18 Mar 2024 to 23 Oct 2026.
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infrastructure 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: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 2 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: Not every token is worth the same amount, so AI will be sold by results and by the hour as well as by the token. — tap to centre the map on it Not every token is worth the same amount, so AI will be sold by results and by the hour as well as by the token. Last stated 9 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little. — tap to centre the map on it Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little. Last stated 5 months ago
10 Jun 2026
RD
Ray Dalio — holds since 2026-06-10 — tap for who they are
Same subject: If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy. — tap to centre the map on it If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough. — tap to centre the map on it AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough. Last stated 8 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: The economics of AI infrastructure are backwards: the spending is increasingly locked in while the revenue needed to justify it is still uncertain. — tap to centre the map on it The economics of AI infrastructure are backwards: the spending is increasingly locked in while the revenue needed to justify it is still uncertain. Last stated a week ago
23 Oct 2026
PK
Paul Kedrosky — holds since 2026-10-23 — 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 a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. — tap to centre the map on it An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. Last stated a year ago
15 Aug 2025
CH
Casey Handmer — holds since 2025-08-15 — tap for who they are
Same subject: Tokens are not the true unit of AI inference, because better models yield more problem-solving per token. — tap to centre the map on it Tokens are not the true unit of AI inference, because better models yield more problem-solving per token. Last stated 2 months ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — 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: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated a week ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 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 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
At the centre
"Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
Holds Read this korrent →
Not every token is worth the same amount, so AI will be sold by results and by the hour as well as by the token.
Holds
Even the most advanced AI cannot be followed blindly in investing, where value added is zero-sum and what is widely known is therefore worth little.
Holds
If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy.
Holds
AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough.
Holds
The economics of AI infrastructure are backwards: the spending is increasingly locked in while the revenue needed to justify it is still uncertain.
Holds
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Holds
An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans.
Holds
Tokens are not the true unit of AI inference, because better models yield more problem-solving per token.
Holds
A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in.
Holds
A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology.
Holds
A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
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