Tap a claim on the ring to put it at the centre.
← The technology industry is destabilized in a way not experienced since the advent of the personal computer.
17 connected korrents · 19 moments from 11 Oct 2018 to 26 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under innovation
innovation
Everything filed under AI and jobs
AI and jobs
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: The technology industry is destabilized in a way not experienced since the advent of the personal computer. The technology industry is destabilized in a way not experienced since the advent of the personal computer. Last stated 6 days ago
26 Sept 2026
SW
Simon Willison — holds since 2026-09-26 — tap for who they are
Same subject: A powerful new technology that benefits only part of society is inherently politically destabilizing. — tap to centre the map on it A powerful new technology that benefits only part of society is inherently politically destabilizing. Last stated 3 weeks ago
9 Sept 2026
NL
Nathan Lambert — holds since 2026-09-09 — tap for who they are
Same subject: Once a technology is released into the world, it becomes very difficult to control. — tap to centre the map on it Once a technology is released into the world, it becomes very difficult to control. Last stated 7 months ago
28 Feb 2026
JS
Jasmine Sun — holds since 2026-02-28 — tap for who they are
Same subject: In a fast-changing industry, anyone genuinely keeping up will change their mind as the developments happen. — tap to centre the map on it In a fast-changing industry, anyone genuinely keeping up will change their mind as the developments happen. Last stated 4 weeks ago
7 Sept 2026
GO
Gergely Orosz — holds since 2026-09-07 — tap for who they are
Same subject: The technology side keeps changing, but the human side does not change that fast: people have the same problems. — tap to centre the map on it The technology side keeps changing, but the human side does not change that fast: people have the same problems. Last stated 3 weeks ago
10 Sept 2026
AV
Ami Vora — holds since 2026-09-10 — tap for who they are
Same subject: The tech industry has a misallocation of productive capacity — tap to centre the map on it The tech industry has a misallocation of productive capacity Last stated 3 years ago
9 May 2023
DH
David Heinemeier Hansson — holds since 2023-05-09 — tap for who they are
Same subject: The worst AI employment scenario is not a crash but a slow drip, where people are quietly re-absorbed into worse-paid work over twenty years. — tap to centre the map on it The worst AI employment scenario is not a crash but a slow drip, where people are quietly re-absorbed into worse-paid work over twenty years. Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: By the time a technology is hot it is already too late to start in it. — tap to centre the map on it By the time a technology is hot it is already too late to start in it. Last stated 4 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — tap for who they are
Same subject: The computing industry does not know its own history, so it discards the great lessons of its pioneers and has to rediscover them over and over. — tap to centre the map on it The computing industry does not know its own history, so it discards the great lessons of its pioneers and has to rediscover them over and over. Last stated 2 weeks ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — 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: 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
At the centre
The technology industry is destabilized in a way not experienced since the advent of the personal computer.
Holds Read this korrent →
A powerful new technology that benefits only part of society is inherently politically destabilizing.
Holds
Once a technology is released into the world, it becomes very difficult to control.
Holds
In a fast-changing industry, anyone genuinely keeping up will change their mind as the developments happen.
Holds
The technology side keeps changing, but the human side does not change that fast: people have the same problems.
Holds
The tech industry has a misallocation of productive capacity
Holds
The worst AI employment scenario is not a crash but a slow drip, where people are quietly re-absorbed into worse-paid work over twenty years.
Holds
By the time a technology is hot it is already too late to start in it.
Holds
The computing industry does not know its own history, so it discards the great lessons of its pioneers and has to rediscover them over and over.
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
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds