Tap a claim on the ring to put it at the centre.
← Academic publications are easy for AI models to consume from…
17 connected korrents · 19 moments on record from 22 Aug 2018 to 17 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under AI writing
AI writing
Everything filed under measuring intelligence
measuring intelligence
Everything filed under open source
open source
Everything filed under taste
taste
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: Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated yesterday
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: The web is being flooded with coherent, generic, generated text that buries the writing worth reading. — tap to centre the map on it
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.
Last stated 6 months ago
27 Mar 2026
MW
Molly White — holds since 2024-10-07 — tap for who they are
MA
Maggie Appleton — holds since 2022-12-31 — tap for who they are
AD
Anil Dash — holds since 2026-03-27 — tap for who they are
Same subject: Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew. — tap to centre the map on it
Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew.
Last stated 12 months ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Last stated 3 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. — tap to centre the map on it
What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters.
Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. — tap to centre the map on it
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read. — tap to centre the map on it
Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read.
Last stated a year ago
30 Jul 2025
AG
Alexey Guzey — holds since 2024-08-09 — tap for who they are
AG
Alexey Guzey — no longer holds since 2025-07-30 — tap for who they are
Same subject: Models have no research taste yet, which is why they complement researchers rather than replace them. — tap to centre the map on it
Models have no research taste yet, which is why they complement researchers rather than replace them.
Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: Newer model releases have got worse at producing text that is actually pleasant to read and understand. — tap to centre the map on it
Newer model releases have got worse at producing text that is actually pleasant to read and understand.
Last stated 3 weeks ago
25 Aug 2026
AR
Armin Ronacher — holds since 2026-08-25 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Last stated 3 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one. — tap to centre the map on it
Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one.
Last stated 12 months ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — tap for who they are
Same subject: If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks. — tap to centre the map on it
If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks.
Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — tap for who they are
Same subject: A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither. — tap to centre the map on it
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A company that will not accept a project’s terms is free to go and use a more permissive project instead. — tap to centre the map on it
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Last stated 2 years ago
26 Sept 2024
MM
Matt Mullenweg — holds since 2024-09-26 — tap for who they are
Same subject: A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it. — tap to centre the map on it
A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it.
Last stated 8 years ago
22 Aug 2018
DD
Drew DeVault — holds since 2018-08-22 — tap for who they are
Same subject: AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it. — tap to centre the map on it
AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it.
Last stated 2 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
Same subject: AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs. — tap to centre the map on it
AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs.
Last stated 3 weeks ago
31 Aug 2026
EM
Ethan Mollick — holds since 2026-08-31 — tap for who they are
Same subject: AI-written prose is an inferior read because a model emits a statistical average -- code's audience is a machine, writing's audience is people. — tap to centre the map on it
AI-written prose is an inferior read because a model emits a statistical average -- code's audience is a machine, writing's audience is people.
Last stated 2 weeks ago
1 Sept 2026
GO
Gergely Orosz — holds since 2026-09-01 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone on record holding the claim — tap it for who they are faded, dashed ring: they no longer hold it — they changed their mind
At the centre
Academic publications are easy for AI models to consume from pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · yesterday
Holds Patrick Collison
Read this korrent →
Similar wording
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.
Last stated 27 Mar 2026 · 6 months ago
Holds MW Molly WhiteMA Maggie AppletonAD Anil Dash
Similar wording
Large language models are a bad way to do science, because they have been fed so much that nobody knows what they already knew.
Last stated 26 Sept 2025 · 12 months ago
Holds RS Richard Sutton
Similar wording
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Last stated 30 Jun 2026 · 3 months ago
Holds GS Grant Sanderson
Similar wording
What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters.
Last stated 30 Jul 2026 · 2 months ago
Holds JD Jeff Dean
Similar wording
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
Last stated 2 Sept 2025 · a year ago
Holds BE Benedict Evans
Similar wording
Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read.
Last stated 30 Jul 2025 · a year ago
No longer holds AG Alexey Guzey
Similar wording
Models have no research taste yet, which is why they complement researchers rather than replace them.
Last stated 26 Jun 2026 · 3 months ago
Holds NB Noam Brown
Similar wording
Newer model releases have got worse at producing text that is actually pleasant to read and understand.
Last stated 25 Aug 2026 · 3 weeks ago
Holds Armin Ronacher
Same subject: measuring intelligence
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Last stated 15 Sept 2026 · 3 days ago
Holds Paul Graham
Same subject: measuring intelligence
Having a goal is the essence of intelligence; a system that only predicts is a behaving system, not an intelligent one.
Last stated 26 Sept 2025 · 12 months ago
Holds RS Richard Sutton
Same subject: measuring intelligence
If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks.
Last stated 5 Nov 2019 · 7 years ago
Holds François Chollet
Same subject: open source
A business making hundreds of millions from an open source project owes it money or contribution, and can be refused its trademarks if it gives neither.
Last stated 26 Sept 2024 · 2 years ago
Holds MM Matt Mullenweg
Same subject: open source
A company that will not accept a project’s terms is free to go and use a more permissive project instead.
Last stated 26 Sept 2024 · 2 years ago
Holds MM Matt Mullenweg
Same subject: open source
A few hundred dollars a month is nothing to a company and transformative to a project, so engineers should be the ones asking their employers to pay it.
Last stated 22 Aug 2018 · 8 years ago
Holds DD Drew DeVault
Same subject: AI writing
AI content should be labelled rather than filtered: content should be judged by its point of view, never by the tool that made it.
Last stated 9 Jul 2026 · 2 months ago
Holds AM Adam Mosseri
Same subject: AI writing
AI-generated writing tends to repeat the same themes, names, and underlying ideas across different outputs.
Last stated 31 Aug 2026 · 3 weeks ago
Holds EM Ethan Mollick
Same subject: AI writing
AI-written prose is an inferior read because a model emits a statistical average -- code's audience is a machine, writing's audience is people.
Last stated 1 Sept 2026 · 2 weeks ago
Holds Gergely Orosz