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← AI assistants still make mistakes and their answers need to be double-checked by a human.
17 connected korrents · 19 moments from 11 Oct 2018 to 20 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under AI alignment
AI alignment
Everything filed under AI and science
AI and science
Everything filed under code generation
code generation 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: AI assistants still make mistakes and their answers need to be double-checked by a human. AI assistants still make mistakes and their answers need to be double-checked by a human. Last stated 2 months ago
9 Aug 2026
HR
Harper Reed — holds since 2026-08-09 — tap for who they are
Same subject: OpenAI's approach to fixing its AI alignment problems is fatally flawed and misdirected. — tap to centre the map on it OpenAI's approach to fixing its AI alignment problems is fatally flawed and misdirected. Last stated a month ago
1 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-01 — tap for who they are
Same subject: On small tasks he can check himself, he catches about as many of the AI's errors as it catches of his. — tap to centre the map on it On small tasks he can check himself, he catches about as many of the AI's errors as it catches of his. Last stated 6 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI assistants should not intentionally lie. — tap to centre the map on it AI assistants should not intentionally lie. Last stated 2 weeks ago
20 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-20 — tap for who they are
Same subject: He was wrong to lock in on autocomplete as what AI would be; Tobi Lütke saw further ahead, and he is frustrated he lacked that conviction. — tap to centre the map on it He was wrong to lock in on autocomplete as what AI would be; Tobi Lütke saw further ahead, and he is frustrated he lacked that conviction. Last stated 2 months ago
26 Jul 2026
DH
David Heinemeier Hansson — holds since 2026-07-26 — tap for who they are
Same subject: An AI agent's confidence that something will work is not evidence that it actually will. — tap to centre the map on it An AI agent's confidence that something will work is not evidence that it actually will. Last stated 7 months ago
11 Mar 2026
KD
Kent C. Dodds — holds since 2026-03-11 — tap for who they are
Same subject: AI-generated code is not fully reliable and typically needs significant manual effort to keep it working correctly. — tap to centre the map on it AI-generated code is not fully reliable and typically needs significant manual effort to keep it working correctly. Last stated 4 months ago
16 Jun 2026
SW
Stephen Wolfram — holds since 2026-06-16 — tap for who they are
Same subject: Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. — tap to centre the map on it Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Even when AI is capable of performing a job, it may not be permitted to do so. — tap to centre the map on it Even when AI is capable of performing a job, it may not be permitted to do so. Last stated a month ago
1 Sept 2026
NM
Nick Maggiulli — holds since 2026-09-01 — 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 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
At the centre
AI assistants still make mistakes and their answers need to be double-checked by a human.
Holds Read this korrent →
OpenAI's approach to fixing its AI alignment problems is fatally flawed and misdirected.
Holds
On small tasks he can check himself, he catches about as many of the AI's errors as it catches of his.
Holds
AI assistants should not intentionally lie.
Holds
He was wrong to lock in on autocomplete as what AI would be; Tobi Lütke saw further ahead, and he is frustrated he lacked that conviction.
Holds
An AI agent's confidence that something will work is not evidence that it actually will.
Holds
AI-generated code is not fully reliable and typically needs significant manual effort to keep it working correctly.
Holds
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
Holds
Even when AI is capable of performing a job, it may not be permitted to do so.
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 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