17 connected korrents · 16 moments from 18 Mar 2024 to 21 Oct 2026.
At the centre
Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore.
Last stated 15 Jul 2026 · 3 months ago
Holds
Dex Horthy
Read this korrent →
-
Similar wording
Every announcement of a longer context window hides the cost, which is that the model gets worse at following instructions.
Last stated 19 Jun 2024 · 2 years ago
Holds
Aravind Srinivas
-
Similar wording
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
-
Similar wording
People disagreeing about AI capability are speaking past each other, because they are using models of very different tiers on very different kinds of task.
Last stated 9 Apr 2026 · 6 months ago
Holds
Andrej Karpathy
-
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
Holds
Jeff Dean
-
Similar wording
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 15 Jul 2026 · 3 months ago
Holds
Dex Horthy
-
Similar wording
You cannot predict which instructions a model needs, so a system prompt has to be discovered by running the thing rather than designed in advance.
Last stated 27 Jul 2026 · 3 months ago
Holds
Boris Cherny
-
Similar wording
As an LLM's context grows, it pays less attention to instructions placed in the middle than to those at the start or end.
Last stated 21 Aug 2026 · 2 months ago
Holds
Fabien Sanglard
-
Similar wording
The quality of the context given to an AI matters more than the model's inherent capability.
Last stated 9 Jul 2026 · 3 months ago
Holds
Tiago Forte
-
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