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← Counting AI tokens on leaderboards is as bad a way to manage people as…
17 connected korrents · 16 moments from 10 Oct 2023 to 27 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under SaaS
SaaS
Everything filed under AGI
AGI
Everything filed under AI alignment
AI alignment
Everything filed under code generation
code generation
Everything filed under LLMs
LLMs
Everything filed under self-driving cars
self-driving cars 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: Counting AI tokens on leaderboards is as bad a way to manage people as counting cars in the parking lot or lines of code. Counting AI tokens on leaderboards is as bad a way to manage people as counting cars in the parking lot or lines of code. Last stated 6 days ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: Neither seats nor tokens can price an agent, because neither of them measures whether the job got done. — tap to centre the map on it Neither seats nor tokens can price an agent, because neither of them measures whether the job got done. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — tap for who they are
Same subject: The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce. — tap to centre the map on it The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce. Last stated a month ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — 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 3 weeks ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. — tap to centre the map on it Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — 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: An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed. — tap to centre the map on it An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed. Last stated 3 weeks ago
10 Sept 2026
CV
Claire Vo — holds since 2026-09-10 — tap for who they are
Same subject: Moving a robotaxi's safety driver from the steering wheel to the passenger seat is a bad idea dressed up as a milestone. — tap to centre the map on it Moving a robotaxi's safety driver from the steering wheel to the passenger seat is a bad idea dressed up as a milestone. Last stated 3 months ago
7 Jul 2026
BT
Brad Templeton — holds since 2026-07-07 — tap for who they are
Same subject: The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it. — tap to centre the map on it The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: "Too expensive" is never the real reason a customer cancels, because they already decided the price was acceptable when they bought. — tap to centre the map on it "Too expensive" is never the real reason a customer cancels, because they already decided the price was acceptable when they bought. Last stated 8 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: A best-in-class product should be priced at the point where customers say it is starting to get expensive, not at the point where they would call it a bargain. — tap to centre the map on it A best-in-class product should be priced at the point where customers say it is starting to get expensive, not at the point where they would call it a bargain. Last stated 2 years ago
23 Mar 2025
RV
Rahul Vohra — holds since 2025-03-23 — tap for who they are
Same subject: A cancelling customer already survived an improbable gauntlet to buy, which makes churn an emotional emergency before it is ever a metric. — tap to centre the map on it A cancelling customer already survived an improbable gauntlet to buy, which makes churn an emotional emergency before it is ever a metric. Last stated 8 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
Same subject: A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. — tap to centre the map on it A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. Last stated 4 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — tap for who they are
Same subject: A company cannot be led by machines, because nobody would have recourse against them. — tap to centre the map on it A company cannot be led by machines, because nobody would have recourse against them. Last stated 3 weeks ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. — tap to centre the map on it A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. Last stated 2 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
At the centre
Counting AI tokens on leaderboards is as bad a way to manage people as counting cars in the parking lot or lines of code.
Holds Read this korrent →
Neither seats nor tokens can price an agent, because neither of them measures whether the job got done.
Holds
The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce.
Holds
Tokens are not the true unit of AI inference, because better models yield more problem-solving per token.
Holds
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
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
An AI coding factory combined with an old-style roadmap probably leads teams into the backlog, parity and churn traps at machine speed.
Holds
Moving a robotaxi's safety driver from the steering wheel to the passenger seat is a bad idea dressed up as a milestone.
Holds
The AI safety community's fixation on a model escaping its box has pushed the other significant AI risks out of the discussion, with little progress to show for it.
Holds
"Too expensive" is never the real reason a customer cancels, because they already decided the price was acceptable when they bought.
Holds
A best-in-class product should be priced at the point where customers say it is starting to get expensive, not at the point where they would call it a bargain.
Holds
A cancelling customer already survived an improbable gauntlet to buy, which makes churn an emotional emergency before it is ever a metric.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Holds
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Holds
A company cannot be led by machines, because nobody would have recourse against them.
Holds
A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Holds