17 connected korrents · 18 moments from 31 Dec 2022 to 21 Oct 2026.
At the centre
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 17 Sept 2026 · 2 months ago
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Patrick Collison
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Similar wording
The web is being flooded with coherent, generic, generated text that buries the writing worth reading.
Last stated 27 Mar 2026 · 7 months ago
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Molly White
Maggie Appleton
Anil Dash
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Similar wording
There is a risk that reading will be devalued due to low-quality AI-generated text.
Last stated 26 Sept 2026 · a month ago
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Guillermo Rauch
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Similar wording
Current scientific publication systems may be unable to handle the increasing volume of work produced by AI.
Last stated 19 Feb 2026 · 8 months ago
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Lior Pachter
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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 · a year ago
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Richard Sutton
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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 · 3 months ago
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Jeff Dean
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Similar wording
Large language models give people broad exposure to average human output at the cost of exceptional, original results.
Last stated 22 Jul 2026 · 3 months ago
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Tiago Forte
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Similar wording
Readers will increasingly pay for domain-knowledge expertise that filters through AI-generated content.
Last stated 9 Oct 2026 · 3 weeks ago
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Brad DeLong
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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
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Benedict Evans
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Same subject: OpenAI
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Last stated 21 Oct 2026 · 2 weeks ago
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Peter Steinberger
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Same subject: OpenAI
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Last stated 18 Mar 2024 · 3 years ago
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Sam Altman
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Same subject: OpenAI
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Last stated 18 Mar 2024 · 3 years ago
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Sam Altman
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Same subject: scaling laws
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 25 Nov 2025 · 11 months ago
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Ilya Sutskever
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Same subject: scaling laws
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Last stated 26 Jun 2026 · 4 months ago
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Noam Brown
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Same subject: scaling laws
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Last stated 13 Mar 2026 · 8 months ago
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Dylan Patel
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Same subject: Anthropic
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Last stated 19 Mar 2026 · 7 months ago
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Kris Puckett
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Same subject: Anthropic
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Last stated 3 Sept 2026 · 2 months ago
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Dax Raad
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Same subject: Anthropic
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Last stated 19 Mar 2026 · 7 months ago
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Kris Puckett