Tap a claim on the ring to put it at the centre.
← Reviewers can tell the obviously good from the obviously bad, but…
17 connected korrents · 17 moments from 20 Jan 2021 to 24 Sept 2026.
Everything filed under taste
taste
Everything filed under peer review
peer review
Everything filed under design
design
Everything filed under LLMs
LLMs
Everything filed under coding agents
coding agents
Everything filed under startups
startups 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: Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all. Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all. Last stated 6 years ago
20 Jan 2021
JR
José Luis Ricón — holds since 2021-01-20 — tap for who they are
Same subject: Work produced by one frontier model should be reviewed by a different one, for the same reason a good programmer's work improves under a good peer's review. — tap to centre the map on it Work produced by one frontier model should be reviewed by a different one, for the same reason a good programmer's work improves under a good peer's review. Last stated 2 months ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: The value of a piece of writing depends on whether the reader finds it good, not on how much effort the writer put into it. — tap to centre the map on it The value of a piece of writing depends on whether the reader finds it good, not on how much effort the writer put into it. Last stated 2 years ago
6 Jan 2025
JF
Jacob Falkovich — holds since 2025-01-06 — tap for who they are
Same subject: An LLM is an averaging machine, so it is good at themes and bad at exactly the un-average details that make customer research actionable. — tap to centre the map on it An LLM is an averaging machine, so it is good at themes and bad at exactly the un-average details that make customer research actionable. Last stated 9 months ago
25 Jan 2026
JC
Jason Cohen — holds since 2026-01-25 — tap for who they are
Same subject: AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. — tap to centre the map on it AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. Last stated 2 months ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: Taste is not about consensus or criticism, but the courage to value what genuinely resonates with you. — tap to centre the map on it Taste is not about consensus or criticism, but the courage to value what genuinely resonates with you. Last stated 4 months ago
5 Jul 2026
JL
Jason Liu — holds since 2026-07-05 — tap for who they are
Same subject: An idea can be obviously good and obviously ridiculous at the same time; being grounded in a real user problem is what carries it through. — tap to centre the map on it An idea can be obviously good and obviously ridiculous at the same time; being grounded in a real user problem is what carries it through. Last stated 3 months ago
31 Jul 2026
PC
Patrick Collison — holds since 2026-07-31 — tap for who they are
Same subject: A gift's perceived price is part of what it does, so a drink known to be cheap fails at its job however good it tastes. — tap to centre the map on it A gift's perceived price is part of what it does, so a drink known to be cheap fails at its job however good it tastes. Last stated 10 months ago
9 Dec 2025
RS
Rory Sutherland — holds since 2025-12-09 — tap for who they are
Same subject: Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them. — tap to centre the map on it Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them. Last stated 2 months ago
7 Aug 2026
MH
Max Hodak — holds since 2026-08-07 — tap for who they are
Same subject: Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication. — tap to centre the map on it Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication. Last stated 2 months ago
17 Aug 2026
TT
Terence Tao — holds since 2026-08-17 — tap for who they are
Same subject: Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. — tap to centre the map on it Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced. Last stated 4 months ago
15 Jun 2026
RK
Rohit Krishnan — holds since 2026-06-15 — tap for who they are
Same subject: Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. — tap to centre the map on it Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field. Last stated a year ago
13 Oct 2025
AH
Anton Howes — holds since 2025-10-13 — tap for who they are
Same subject: A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. — tap to centre the map on it A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. Last stated 4 weeks ago
24 Sept 2026
MS
M.G. Siegler — holds since 2026-09-24 — tap for who they are
Same subject: A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. — tap to centre the map on it A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. Last stated a month ago
9 Sept 2026
EB
Ed Bayes — holds since 2026-09-09 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
Same subject: Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do. — tap to centre the map on it Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do. Last stated 4 years ago
13 Dec 2022
AM
Adam Mastroianni — holds since 2022-12-13 — tap for who they are
Same subject: History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say. — tap to centre the map on it History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say. Last stated 3 years ago
29 Aug 2023
AH
Anton Howes — holds since 2023-08-29 — tap for who they are
Same subject: Peer reviewers miss most of the serious errors in the papers they review. — tap to centre the map on it Peer reviewers miss most of the serious errors in the papers they review. Last stated 4 years ago
13 Dec 2022
AM
Adam Mastroianni — holds since 2022-12-13 — tap for who they are
At the centre
Reviewers can tell the obviously good from the obviously bad, but there is a messy middle where they cannot tell at all.
Holds Read this korrent →
Work produced by one frontier model should be reviewed by a different one, for the same reason a good programmer's work improves under a good peer's review.
Holds
The value of a piece of writing depends on whether the reader finds it good, not on how much effort the writer put into it.
Holds
An LLM is an averaging machine, so it is good at themes and bad at exactly the un-average details that make customer research actionable.
Holds
AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead.
Holds
Taste is not about consensus or criticism, but the courage to value what genuinely resonates with you.
Holds
An idea can be obviously good and obviously ridiculous at the same time; being grounded in a real user problem is what carries it through.
Holds
A gift's perceived price is part of what it does, so a drink known to be cheap fails at its job however good it tastes.
Holds
Copying the consensus drags you towards the average, and average is not good enough — so you have to make the decisions that make sense to you even when you are completely alone in them.
Holds
Automatic filters cannot replace community acceptance, and human referees cannot be removed from mathematical publication.
Holds
Combining multiple AI models' outputs into one final answer tends to discard most of the good ideas that only one model produced.
Holds
Economics journals have made large datasets and heavy statistics the price of making any causal claim at all, which has squeezed qualitative economic history out of the field.
Holds
A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face.
Holds
A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart.
Holds
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Holds
Fraudulent papers pass peer review routinely, which is direct evidence that peer review does not do the job it is supposed to do.
Holds
History has a reproducibility problem worse than science’s replication crisis, because hardly anyone ever goes back to the sources to check what a historian claimed they say.
Holds
Peer reviewers miss most of the serious errors in the papers they review.
Holds