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← A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
17 connected korrents · 19 moments from 11 Oct 2018 to 27 Sept 2026.
Everything filed under AI slop
AI slop
Everything filed under LLMs
LLMs
Everything filed under writing
writing
Everything filed under AI agents
AI 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: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. 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: An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. — tap to centre the map on it An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one. Last stated 2 years ago
18 Sept 2024
DH
David Heinemeier Hansson — holds since 2024-09-18 — tap for who they are
Same subject: Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance. — tap to centre the map on it Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance. Last stated 2 months ago
31 Aug 2026
PL
Pieter Levels — holds since 2026-08-31 — tap for who they are
Same subject: Part of the AI slop problem is probably people handing off accountability for the work they send. — tap to centre the map on it Part of the AI slop problem is probably people handing off accountability for the work they send. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. — tap to centre the map on it Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Last stated 2 months ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Good writing is hard to train into AI models because writing quality is hard to evaluate. — tap to centre the map on it Good writing is hard to train into AI models because writing quality is hard to evaluate. Last stated 7 months ago
23 Mar 2026
JS
Jasmine Sun — holds since 2026-03-23 — tap for who they are
Same subject: A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. — tap to centre the map on it A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
Same subject: The ethical failure in using AI to write is publishing unread, unowned work, not using the tool itself. — tap to centre the map on it The ethical failure in using AI to write is publishing unread, unowned work, not using the tool itself. Last stated 2 months ago
9 Aug 2026
BF
Brad Feld — holds since 2026-08-09 — tap for who they are
Same subject: AI sales agents do not work out of the box; the training is the product. — tap to centre the map on it AI sales agents do not work out of the box; the training is the product. 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 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 a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A briefcase of context, carried from one tool to the next, will replace re-teaching intent in each tool. — tap to centre the map on it A briefcase of context, carried from one tool to the next, will replace re-teaching intent in each tool. Last stated 5 months ago
19 May 2026
TG
Tommy Geoco — holds since 2026-05-19 — 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 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
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds Read this korrent →
An AI-written cover letter reads as slop to the person receiving fifty of them, so do not send one.
Holds
Every email should be routed through an LLM that scores it and approves or rejects it, with what is left ordered by importance.
Holds
Part of the AI slop problem is probably people handing off accountability for the work they send.
Holds
Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful.
Holds
Good writing is hard to train into AI models because writing quality is hard to evaluate.
Holds
A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job.
Holds
The ethical failure in using AI to write is publishing unread, unowned work, not using the tool itself.
Holds
AI sales agents do not work out of the box; the training is the product.
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 briefcase of context, carried from one tool to the next, will replace re-teaching intent in each tool.
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