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← Someone paying a thousand dollars per million tokens is just around…
17 connected korrents · 15 moments from 18 Mar 2024 to 14 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under AI writing
AI writing
Everything filed under OpenAI
OpenAI
Everything filed under data centers
data centers
Everything filed under energy
energy 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: Someone paying a thousand dollars per million tokens is just around the corner, because intelligence is a product that segments by grade like phones do. Someone paying a thousand dollars per million tokens is just around the corner, because intelligence is a product that segments by grade like phones do. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly. — tap to centre the map on it Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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: 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: 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 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: Compute is not a market like phones, where demand is capped by how many buyers there are; intelligence is priced like energy, so the only real question is how much the world uses at a given price. — tap to centre the map on it Compute is not a market like phones, where demand is capped by how many buyers there are; intelligence is priced like energy, so the only real question is how much the world uses at a given price. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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: 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: 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
Someone paying a thousand dollars per million tokens is just around the corner, because intelligence is a product that segments by grade like phones do.
Holds Read this korrent →
Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly.
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
Rationing AI tokens reflects a weird scarcity mindset when more tokens are easily affordable than one could ever use.
Holds
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
Compute is not a market like phones, where demand is capped by how many buyers there are; intelligence is priced like energy, so the only real question is how much the world uses at a given price.
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
Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.
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