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← The cost of a token is falling by an order of magnitude every year,…
17 connected korrents · 17 moments from 18 Mar 2024 to 14 Oct 2026.
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semiconductors 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: The cost of a token is falling by an order of magnitude every year, even as the price of the computers that make them goes up. The cost of a token is falling by an order of magnitude every year, even as the price of the computers that make them goes up. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. — tap to centre the map on it Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Most of the gain in tokens per dollar per watt comes from software, not from new hardware — 5x, 10x, sometimes 40x on one model family. — tap to centre the map on it Most of the gain in tokens per dollar per watt comes from software, not from new hardware — 5x, 10x, sometimes 40x on one model family. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: The largest tech companies are not using fewer tokens; they are switching to cheaper, still capable open models instead of SOTA models. — tap to centre the map on it The largest tech companies are not using fewer tokens; they are switching to cheaper, still capable open models instead of SOTA models. Last stated a month ago
9 Sept 2026
GO
Gergely Orosz — holds since 2026-09-09 — tap for who they are
Same subject: There is an underserved market for tools that help people understand what is being built, rather than pump out more tokens, though it is hard to market. — tap to centre the map on it There is an underserved market for tools that help people understand what is being built, rather than pump out more tokens, though it is hard to market. Last stated 2 months ago
3 Sept 2026
BV
Ben Vinegar — holds since 2026-09-03 — tap for who they are
Same subject: Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts. — tap to centre the map on it Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Rationing AI tokens reflects a weird scarcity mindset when more tokens are easily affordable than one could ever use. — tap to centre the map on it Rationing AI tokens reflects a weird scarcity mindset when more tokens are easily affordable than one could ever use. Last stated 4 weeks ago
26 Sept 2026
DH
David Heinemeier Hansson — holds since 2026-09-26 — tap for who they are
Same subject: Some people will be priced out of producing software for the next few years if they cannot get enough tokens, putting them in a second league. — tap to centre the map on it Some people will be priced out of producing software for the next few years if they cannot get enough tokens, putting them in a second league. Last stated a month ago
19 Sept 2026
TB
Thorsten Ball — holds since 2026-09-19 — tap for who they are
Same subject: You can bet your entire business on Nvidia shipping a better architecture every single year and your token cost falling by an order of magnitude — no ASIC team can promise that. — tap to centre the map on it You can bet your entire business on Nvidia shipping a better architecture every single year and your token cost falling by an order of magnitude — no ASIC team can promise that. Last stated 6 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — 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: Agent containment will be one of the most important priorities for any AI infra company. — tap to centre the map on it Agent containment will be one of the most important priorities for any AI infra company. Last stated a week ago
14 Oct 2026
GR
Guillermo Rauch — holds since 2026-10-14 — 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. Last stated 3 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes work that used to take weeks to build. Last stated 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
At the centre
The cost of a token is falling by an order of magnitude every year, even as the price of the computers that make them goes up.
Holds Read this korrent →
Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.
Holds
Most of the gain in tokens per dollar per watt comes from software, not from new hardware — 5x, 10x, sometimes 40x on one model family.
Holds
The largest tech companies are not using fewer tokens; they are switching to cheaper, still capable open models instead of SOTA models.
Holds
There is an underserved market for tools that help people understand what is being built, rather than pump out more tokens, though it is hard to market.
Holds
Maxing out your token usage is optimising one node of the factory for utilisation instead of the end-to-end goal of shipping value that is stable and lasts.
Holds
Rationing AI tokens reflects a weird scarcity mindset when more tokens are easily affordable than one could ever use.
Holds
Some people will be priced out of producing software for the next few years if they cannot get enough tokens, putting them in a second league.
Holds
You can bet your entire business on Nvidia shipping a better architecture every single year and your token cost falling by an order of magnitude — no ASIC team can promise that.
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
Agent containment will be one of the most important priorities for any AI infra company.
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
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI can now produce in minutes work that used to take weeks to build.
Holds