17 connected korrents · 18 moments from 18 Mar 2024 to 22 Sept 2026. Nearly all of them are about LLMs.
At the centre
AI is not magic: the underlying systems are very complicated, but what it does on your computer, like writing files and invoking bash commands from the 70s, is knowable.
Last stated 14 Apr 2026 · 6 months ago
Holds
Brian Lovin
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 · 2 weeks 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 · 2 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: coding agents
"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
Holds
Kris Puckett
-
Same subject: coding agents
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Last stated 25 Mar 2026 · 6 months ago
Holds
Mario Zechner
-
Same subject: coding agents
A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
Last stated 18 Aug 2025 · a year ago
Holds
Clay Bavor
-
Same subject: Anthropic
AI agents and AI coding will run on servers and from the cloud first, not on your laptop.
Last stated 28 Jun 2026 · 3 months ago
Holds
Pieter Levels
-
Same subject: Anthropic
Anthropic pulling Claude subscriptions from third-party harnesses like OpenCode is a mistake: playing a single match in a game of many rounds.
Last stated 8 Apr 2026 · 6 months ago
Holds
David Heinemeier Hansson
-
Same subject: Anthropic
Claude Code will eventually build persistent, failure-tolerant iteration into its default operating loop.
Last stated 6 Feb 2026 · 8 months ago
Holds
Arvid Kahl
-
Same subject: OpenAI
GPT-5.5 is the only coding model with the agency to rip out old code and rewrite from first principles; the others patch around the edges.
Last stated 24 May 2026 · 4 months ago
Holds
Dan Shipper
-
Same subject: OpenAI
Not showing the code and exact details of what the agent ran in the ChatGPT UI is a lack of transparency and an anti-feature.
Last stated 12 Sept 2026 · 3 weeks ago
Holds
Simon Willison
-
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