17 connected korrents · 17 moments from 18 Mar 2024 to 25 Oct 2026.
At the centre
Asking agents for irrefutable proof of their work, such as walkthroughs, demo videos and before/after numbers, is the biggest game changer.
Last stated 25 Oct 2026 · today
Holds
Thorsten Ball
Read this korrent →
-
Similar wording
With agents, it is possible to move 10x faster.
Last stated 16 Oct 2026 · a week ago
Holds
Thorsten Ball
-
Similar wording
Mathematicians using AI agents to produce proofs should have to disclose in detail how the agents were used, the way experimental scientists must describe their methods.
Last stated 9 Sept 2026 · 2 months ago
Holds
Peter Woit
-
Similar wording
An agent repeats its own history: whatever it did on the last change — ran the tests or skipped them — is what it will do on the next one, because it is predicting the next message in the conversation.
Last stated 15 Jul 2026 · 3 months ago
Holds
Dex Horthy
-
Similar wording
A team can stop reading the code it ships, but only by first working out how its agents are to prove that what they wrote actually works.
Last stated 19 Mar 2026 · 7 months ago
Holds
Simon Willison
-
Similar wording
Controllability, not accuracy, is the single biggest breakthrough agents still need — an agent that is right most of the time is useful if you can steer it the rest of the way.
Last stated 26 Jul 2026 · 3 months ago
Holds
Jensen Huang
-
Similar wording
The next stage is probably interfaces that the agent itself can reshape.
Last stated 10 Sept 2026 · a month ago
Holds
Mike Krieger
-
Similar wording
The biggest effect of agents on the market may well be that the rewards for better products increase.
Last stated 9 Oct 2026 · 2 weeks ago
Holds
Patrick Collison
-
Similar wording
Ask agents for the closest possible representation of a thing, so an idea is approved on more than a best guess.
Last stated 11 Aug 2026 · 2 months ago
Holds
Kyle Zantos
-
Same subject: AI alignment
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Last stated 7 Oct 2025 · a year ago
Holds
Mr. Money Mustache
-
Same subject: AI alignment
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Last stated 7 May 2024 · 2 years ago
Holds
Buck Shlegeris
-
Same subject: AI alignment
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Last stated 26 Aug 2026 · 2 months ago
Holds
Henrik Karlsson
-
Same subject: OpenAI
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Last stated 21 Oct 2026 · 4 days ago
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