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← People who enjoy using AI themselves often resent having it used against them.
17 connected korrents · 17 moments from 11 Oct 2018 to 27 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under ideas vs execution
ideas vs execution
Everything filed under AI alignment
AI alignment
Everything filed under design
design
Everything filed under AI and jobs
AI and jobs 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: People who enjoy using AI themselves often resent having it used against them. People who enjoy using AI themselves often resent having it used against them. Last stated 5 months ago
6 May 2026
AP
Aaron Patterson — holds since 2026-05-06 — tap for who they are
Same subject: People do not value or care about something built by AI, regardless of its quality, because no personal effort went into it. — tap to centre the map on it People do not value or care about something built by AI, regardless of its quality, because no personal effort went into it. Last stated 2 weeks ago
21 Sept 2026
SJ
Stefan Judis — holds since 2026-09-21 — tap for who they are
Same subject: Most of the value an AI expert brings to a company is telling it not to use AI. — tap to centre the map on it Most of the value an AI expert brings to a company is telling it not to use AI. Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: AI alignment is a red herring not worth the effort currently devoted to it. — tap to centre the map on it AI alignment is a red herring not worth the effort currently devoted to it. Last stated 2 months ago
8 Aug 2026
MW
Matt Webb — holds since 2026-08-08 — tap for who they are
Same subject: People facing AI should aim to help design the future of their profession rather than protect its past. — tap to centre the map on it People facing AI should aim to help design the future of their profession rather than protect its past. Last stated 5 days ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: Running a business on AI agents is more work than running it on people, not less. — tap to centre the map on it Running a business on AI agents is more work than running it on people, not less. Last stated 9 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: The idea that AI will destroy software and make tools unnecessary is ridiculous: an agent, like a humanoid in your kitchen, will use the tools that already exist. — tap to centre the map on it The idea that AI will destroy software and make tools unnecessary is ridiculous: an agent, like a humanoid in your kitchen, will use the tools that already exist. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: It is not AI itself that threatens people's jobs, but people who have mastered AI. — tap to centre the map on it It is not AI itself that threatens people's jobs, but people who have mastered AI. Last stated 11 months ago
17 Oct 2025
JE
Jason Evanish — holds since 2025-10-17 — tap for who they are
Same subject: People often seem to focus on what AI can execute and not on what it can teach them. — tap to centre the map on it People often seem to focus on what AI can execute and not on what it can teach them. Last stated 3 weeks ago
10 Sept 2026
KS
Karri Saarinen — holds since 2026-09-10 — 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 child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — 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
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 labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. — tap to centre the map on it AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. Last stated 3 weeks ago
10 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-10 — 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
At the centre
People who enjoy using AI themselves often resent having it used against them.
Holds Read this korrent →
People do not value or care about something built by AI, regardless of its quality, because no personal effort went into it.
Holds
Most of the value an AI expert brings to a company is telling it not to use AI.
Holds
AI alignment is a red herring not worth the effort currently devoted to it.
Holds
People facing AI should aim to help design the future of their profession rather than protect its past.
Holds
Running a business on AI agents is more work than running it on people, not less.
Holds
The idea that AI will destroy software and make tools unnecessary is ridiculous: an agent, like a humanoid in your kitchen, will use the tools that already exist.
Holds
It is not AI itself that threatens people's jobs, but people who have mastered AI.
Holds
People often seem to focus on what AI can execute and not on what it can teach them.
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 child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
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
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation.
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