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← Token costs scale with usage and leave a hole in marketing budgets that first-year plans did not foresee.
17 connected korrents · 16 moments from 18 Mar 2024 to 21 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
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OpenAI
Everything filed under reinforcement learning
reinforcement learning 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: Token costs scale with usage and leave a hole in marketing budgets that first-year plans did not foresee. Token costs scale with usage and leave a hole in marketing budgets that first-year plans did not foresee. Last stated 7 months ago
9 Apr 2026
CD
Carilu Dietrich — holds since 2026-04-09 — tap for who they are
Same subject: Token consumption is becoming a proxy for how seriously a team uses AI. — tap to centre the map on it Token consumption is becoming a proxy for how seriously a team uses AI. Last stated 7 months ago
9 Apr 2026
CD
Carilu Dietrich — holds since 2026-04-09 — 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 a month ago
26 Sept 2026
DH
David Heinemeier Hansson — holds since 2026-09-26 — 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 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: 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. — tap to centre the map on it 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: 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 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — 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: As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context. — tap to centre the map on it As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context. Last stated 6 months ago
16 May 2026
SR
Sebastian Raschka — holds since 2026-05-16 — 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: "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
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 2 weeks 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: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
At the centre
Token costs scale with usage and leave a hole in marketing budgets that first-year plans did not foresee.
Holds Read this korrent →
Token consumption is becoming a proxy for how seriously a team uses AI.
Holds
Rationing AI tokens reflects a weird scarcity mindset when more tokens are easily affordable than one could ever use.
Holds
Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.
Holds
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
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
Tokens are not the true unit of AI inference, because better models yield more problem-solving per token.
Holds
As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context.
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
"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 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
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds