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← LLMs push the cost of translation work close to zero, while humans…
17 connected korrents · 20 moments from 12 Feb 2010 to 17 Sept 2026. Nearly all of them are about taste .
Everything filed under LLMs
LLMs
Everything filed under writing
writing
Everything filed under Silicon Valley
Silicon Valley 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: LLMs push the cost of translation work close to zero, while humans still provide judgment, taste and accountability. LLMs push the cost of translation work close to zero, while humans still provide judgment, taste and accountability. Last stated a year ago
12 Sept 2025
AC
Aparna Chennapragada — holds since 2025-09-12 — tap for who they are
Same subject: A big part of taste is delivering high levels of craft in an accessible way so that as many people as possible can experience it. — tap to centre the map on it A big part of taste is delivering high levels of craft in an accessible way so that as many people as possible can experience it. Last stated 6 months ago
21 Apr 2026
BJ
Brandon Jacoby — holds since 2026-04-21 — tap for who they are
Same subject: A first draft should not be graded good or bad; it is only the material that taste then gets to act on. — tap to centre the map on it A first draft should not be graded good or bad; it is only the material that taste then gets to act on. Last stated 3 months ago
6 Aug 2026
GS
George Saunders — holds since 2026-08-06 — 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 11 months ago
9 Dec 2025
RS
Rory Sutherland — holds since 2025-12-09 — tap for who they are
Same subject: A lot of people can match a framework for taste; almost nobody can create one, and creating one is the rare skill. — tap to centre the map on it A lot of people can match a framework for taste; almost nobody can create one, and creating one is the rare skill. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: A person's taste develops faster than their skills, creating a frustrating gap early on. — tap to centre the map on it A person's taste develops faster than their skills, creating a frustrating gap early on. Last stated 3 years ago
15 Jan 2024
AC
Andrew Chen — holds since 2024-01-15 — tap for who they are
Same subject: A product needs a soul, and for that it needs one person of great taste who is its living, breathing aspect and gets furious about every small detail. — tap to centre the map on it A product needs a soul, and for that it needs one person of great taste who is its living, breathing aspect and gets furious about every small detail. Last stated 17 years ago
12 Feb 2010
KS
Karri Saarinen — holds since 2010-02-12 — tap for who they are
Same subject: A skill is basically a prompt, sometimes a large one, more like a style guide: the best practice for taste, which font to use, and how to guide AI not to create AI slop. — tap to centre the map on it A skill is basically a prompt, sometimes a large one, more like a style guide: the best practice for taste, which font to use, and how to guide AI not to create AI slop. Last stated 4 months ago
30 Jun 2026
MT
Meng To — holds since 2026-06-30 — tap for who they are
Same subject: AI companies promote themselves around 'taste' because their products are unappealing outside tech circles. — tap to centre the map on it AI companies promote themselves around 'taste' because their products are unappealing outside tech circles. Last stated 7 months ago
26 Mar 2026
KC
Kyle Chayka — holds since 2026-03-26 — 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 10 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 4 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 a month 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 9 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 4 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
LLMs push the cost of translation work close to zero, while humans still provide judgment, taste and accountability.
Holds Read this korrent →
A big part of taste is delivering high levels of craft in an accessible way so that as many people as possible can experience it.
Holds
A first draft should not be graded good or bad; it is only the material that taste then gets to act on.
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
A lot of people can match a framework for taste; almost nobody can create one, and creating one is the rare skill.
Holds
A person's taste develops faster than their skills, creating a frustrating gap early on.
Holds
A product needs a soul, and for that it needs one person of great taste who is its living, breathing aspect and gets furious about every small detail.
Holds
A skill is basically a prompt, sometimes a large one, more like a style guide: the best practice for taste, which font to use, and how to guide AI not to create AI slop.
Holds
AI companies promote themselves around 'taste' because their products are unappealing outside tech circles.
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