17 connected korrents · 17 moments from 18 Mar 2024 to 21 Oct 2026.
At the centre
Reasoning will generalize the way instruction tuning did: add enough verifiable domains and, at some point nobody can yet locate, the rest start working on their own.
Last stated 3 Feb 2025 · 2 years ago
Holds
Nathan Lambert
Read this korrent →
-
Same subject: LLMs
A computer scientist refusing to find anything about LLMs interesting right now is a bit like a geneticist unimpressed by a newly opened Jurassic Park.
Last stated 18 Sept 2026 · a month ago
Holds
Simon Willison
-
Same subject: LLMs
A language model avoids hallucinating only by being factual and admitting when it does not know the answer.
Last stated 7 Jul 2024 · 2 years ago
Holds
Lilian Weng
-
Same subject: LLMs
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Last stated 22 Sept 2026 · 4 weeks ago
Holds
Harper Reed
-
Same subject: LLMs
A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world.
Last stated 26 Sept 2025 · a year ago
Holds
Richard Sutton
-
Same subject: LLMs
A language model cannot produce work that is both original and good, because nothing gives it a score for originality.
Last stated 2 Sept 2025 · a year ago
Holds
Benedict Evans
-
Same subject: LLMs
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Last stated 7 Jun 2025 · a year ago
Holds
Gary Marcus
-
Same subject: LLMs
A language model is not using language at all, because language requires an intention to communicate.
Last stated 31 Aug 2024 · 2 years ago
Holds
Ted Chiang
-
Same subject: LLMs
A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.
Last stated 22 Apr 2024 · 2 years ago
Holds
Sean Carroll
-
Same subject: OpenAI
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Last stated 21 Oct 2026 · yesterday
Holds
Peter Steinberger
-
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
Holds
Sam Altman
-
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
Holds
Sam Altman
-
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
Holds
Ilya Sutskever
-
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
Holds
Noam Brown
-
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 · 7 months ago
Holds
Dylan Patel
-
Same subject: AI writing
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Last stated 27 Sept 2026 · 4 weeks ago
Holds
Molly Graham
-
Same subject: AI writing
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 · 4 months ago
Holds
Grant Sanderson
-
Same subject: AI writing
AI can now produce in minutes work that used to take weeks to build.
Last stated 26 May 2026 · 5 months ago
Holds
Carlos Alexandro Becker