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← What a message-recipient considers important is too idiosyncratic to…
17 connected korrents · 17 moments on record from 5 Nov 2019 to 15 Sept 2026.
Everything filed under AI writing
AI writing
Everything filed under behavioural science
behavioural science
Everything filed under measuring intelligence
measuring intelligence
Everything filed under scaling laws
scaling laws
Everything filed under LLMs
LLMs
Everything filed under design
design 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: What a message-recipient considers important is too idiosyncratic to be captured by generic heuristics like "all receipts go to FYI." What a message-recipient considers important is too idiosyncratic to be captured by generic heuristics like "all receipts go to FYI." Last stated 8 months ago
23 Jan 2026
AW
Adam Wiggins — holds since 2026-01-23 — tap for who they are
Same subject: Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight. — tap to centre the map on it Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: Every earlier wave, the internet included, had to be argued for; AI is the first where nobody has to be persuaded that it matters. — tap to centre the map on it Every earlier wave, the internet included, had to be argued for; AI is the first where nobody has to be persuaded that it matters. Last stated 5 months ago
7 Apr 2026
MF
Martin Fowler — holds since 2026-04-07 — tap for who they are
Same subject: A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. — tap to centre the map on it A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally. Last stated 8 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance. — tap to centre the map on it Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance. Last stated 3 weeks ago
31 Aug 2026
PL
Pieter Levels — holds since 2026-08-31 — tap for who they are
Same subject: Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. — tap to centre the map on it Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut. — tap to centre the map on it Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut. Last stated 4 years ago
9 Aug 2022
GK
Gary Klein — holds since 2022-08-09 — tap for who they are
Same subject: An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. — tap to centre the map on it An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. Last stated 2 years ago
18 Sept 2024
DH
David Heinemeier Hansson — holds since 2024-09-18 — tap for who they are
Same subject: What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it. — tap to centre the map on it What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it. Last stated 3 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — 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 10 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 3 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 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. — tap to centre the map on it AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. Last stated 2 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
Same subject: AI writing tools can be used for editing help without letting them take over work that has personal meaning. — tap to centre the map on it AI writing tools can be used for editing help without letting them take over work that has personal meaning. Last stated 2 months ago
27 Jul 2026
AH
Ann Handley — holds since 2026-07-27 — tap for who they are
At the centre
What a message-recipient considers important is too idiosyncratic to be captured by generic heuristics like "all receipts go to FYI."
Holds Read this korrent →
Debiasing has largely failed, and that is fine, because the biases identified are experience-built heuristics that only look like biases in hindsight.
Holds
Every earlier wave, the internet included, had to be argued for; AI is the first where nobody has to be persuaded that it matters.
Holds
A cancellation-reason drop-down measures list order rather than reasons: randomise the options and every one of them gets picked equally.
Holds
Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance.
Holds
Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore.
Holds
Teaching people a decision model is useless, because the intuition it rests on is built from experience and has no shortcut.
Holds
An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one.
Holds
What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
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 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 content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it.
Holds
AI writing tools can be used for editing help without letting them take over work that has personal meaning.
Holds