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← Ask agents for the closest possible representation of a thing, so an idea is approved on more than a best guess.
17 connected korrents · 18 moments from 11 Oct 2018 to 17 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under design
design
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taste
Everything filed under AI writing
AI writing
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AI and jobs
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coding agents 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: Ask agents for the closest possible representation of a thing, so an idea is approved on more than a best guess. Ask agents for the closest possible representation of a thing, so an idea is approved on more than a best guess. Last stated 2 months ago
11 Aug 2026
KZ
Kyle Zantos — holds since 2026-08-11 — tap for who they are
Same subject: Before an agent generates any UI for an exploration, have it describe the approaches in text, which is quicker to judge as directionally right or wrong. — tap to centre the map on it Before an agent generates any UI for an exploration, have it describe the approaches in text, which is quicker to judge as directionally right or wrong. Last stated 2 months ago
18 Aug 2026
PM
Patrick Morgan — holds since 2026-08-18 — tap for who they are
Same subject: Giving agents something they can touch, together with your spoken description of it, is a recurring theme in the AI design tooling being built now. — tap to centre the map on it Giving agents something they can touch, together with your spoken description of it, is a recurring theme in the AI design tooling being built now. Last stated 2 months ago
11 Aug 2026
KZ
Kyle Zantos — holds since 2026-08-11 — tap for who they are
Same subject: Asking an agent to keep an engineer's functionality and apply a designer's styling can get much closer than intuition says it would. — tap to centre the map on it Asking an agent to keep an engineer's functionality and apply a designer's styling can get much closer than intuition says it would. Last stated 4 months ago
26 May 2026
AM
Andy Madrick — holds since 2026-05-26 — tap for who they are
Same subject: When agents do the building, the scarce skill is taste: choosing which problem is worth the time at all. — tap to centre the map on it When agents do the building, the scarce skill is taste: choosing which problem is worth the time at all. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Now that anyone can generate a body of text, the only thing that justifies asking for a reader's time is whether the idea itself is worth reading. — tap to centre the map on it Now that anyone can generate a body of text, the only thing that justifies asking for a reader's time is whether the idea itself is worth reading. Last stated 2 months ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: Cutting a design system down, for example fewer size variants of a button, makes it more tightly scoped, which is a good thing when the consumer is an agent. — tap to centre the map on it Cutting a design system down, for example fewer size variants of a button, makes it more tightly scoped, which is a good thing when the consumer is an agent. Last stated 3 weeks ago
15 Sept 2026
NF
Nev Flynn — holds since 2026-09-15 — tap for who they are
Same subject: People should climb the abstraction ladder and give their jobs to AI agents that want them. — tap to centre the map on it People should climb the abstraction ladder and give their jobs to AI agents that want them. Last stated 4 weeks ago
10 Sept 2026
KD
Kent C. Dodds — holds since 2026-09-10 — tap for who they are
Same subject: Specifying what you want matters more now that agents write the code than it did when the work went to a human who could ask follow-up questions. — tap to centre the map on it Specifying what you want matters more now that agents write the code than it did when the work went to a human who could ask follow-up questions. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 9 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated 3 weeks ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. — tap to centre the map on it As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. Last stated 3 months ago
24 Jun 2026
LW
Lilian Weng — holds since 2026-06-24 — tap for who they are
Same subject: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it Current techniques restrict pre-trained representation power because standard language models are unidirectional. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
At the centre
Ask agents for the closest possible representation of a thing, so an idea is approved on more than a best guess.
Holds Read this korrent →
Before an agent generates any UI for an exploration, have it describe the approaches in text, which is quicker to judge as directionally right or wrong.
Holds
Giving agents something they can touch, together with your spoken description of it, is a recurring theme in the AI design tooling being built now.
Holds
Asking an agent to keep an engineer's functionality and apply a designer's styling can get much closer than intuition says it would.
Holds
When agents do the building, the scarce skill is taste: choosing which problem is worth the time at all.
Holds
Now that anyone can generate a body of text, the only thing that justifies asking for a reader's time is whether the idea itself is worth reading.
Holds
Cutting a design system down, for example fewer size variants of a button, makes it more tightly scoped, which is a good thing when the consumer is an agent.
Holds
People should climb the abstraction ladder and give their jobs to AI agents that want them.
Holds
Specifying what you want matters more now that agents write the code than it did when the work went to a human who could ask follow-up questions.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
As models keep growing, AI is running out of enough high-quality unique training tokens to keep up.
Holds
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Holds