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← Expressing properties in formal logic is less ambiguous than expressing them in informal English.
16 connected korrents · 16 moments from 21 Jan 2019 to 21 Oct 2026.
Everything filed under AI writing
AI writing
Everything filed under LLMs
LLMs
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scaling laws
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formal proof
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software quality
Everything filed under writing
writing Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Expressing properties in formal logic is less ambiguous than expressing them in informal English. Expressing properties in formal logic is less ambiguous than expressing them in informal English. Last stated 2 months ago
1 Sept 2026
HW
Hillel Wayne — holds since 2026-09-01 — tap for who they are
Same subject: There is a permanent trade-off in verification: an expressive language is hard to prove things about, and a language that is easy to prove things about is hard to write in. — tap to centre the map on it There is a permanent trade-off in verification: an expressive language is hard to prove things about, and a language that is easy to prove things about is hard to write in. Last stated 8 years ago
21 Jan 2019
HW
Hillel Wayne — holds since 2019-01-21 — tap for who they are
Same subject: Duplicating logic is no longer painful, while abstractions still are. — tap to centre the map on it Duplicating logic is no longer painful, while abstractions still are. Last stated a month ago
10 Sept 2026
PS
Peter Steinberger — holds since 2026-09-10 — tap for who they are
Same subject: Large language models do not reason formally: their performance collapses as a problem is made bigger, in the way a calculator's never does. — tap to centre the map on it Large language models do not reason formally: their performance collapses as a problem is made bigger, in the way a calculator's never does. Last stated 2 years ago
11 Oct 2024
GM
Gary Marcus — holds since 2024-10-11 — tap for who they are
Same subject: Large language models are too chaotic and language too ambiguous for them to preserve the reasoning guarantees that compilers provide. — tap to centre the map on it Large language models are too chaotic and language too ambiguous for them to preserve the reasoning guarantees that compilers provide. Last stated 6 months ago
14 Apr 2026
KK
Kyle Kingsbury — holds since 2026-04-14 — tap for who they are
Same subject: Formal methods are a niche tool; property-based testing is the one most engineers should adopt, and stopping there is a fine place to stop. — tap to centre the map on it Formal methods are a niche tool; property-based testing is the one most engineers should adopt, and stopping there is a fine place to stop. Last stated 3 months ago
29 Jul 2026
HW
Hillel Wayne — holds since 2026-07-29 — tap for who they are
Same subject: An idea stated in a more fluent or rhyming form seems more true or persuasive than the same idea stated plainly. — tap to centre the map on it An idea stated in a more fluent or rhyming form seems more true or persuasive than the same idea stated plainly. Last stated a month ago
18 Sept 2026
GR
Gretchen Rubin — holds since 2026-09-18 — tap for who they are
Same subject: Natural-language LLM mathematical reasoners are fundamentally limited by lacking machine-checkable semantics, which blocks autonomous verification needed for open-ended research. — tap to centre the map on it Natural-language LLM mathematical reasoners are fundamentally limited by lacking machine-checkable semantics, which blocks autonomous verification needed for open-ended research. Last stated 4 months ago
8 Jul 2026
TT
Terence Tao — holds since 2026-07-08 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 3 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it 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 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it 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 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes work that used to take weeks to build. Last stated 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
At the centre
Expressing properties in formal logic is less ambiguous than expressing them in informal English.
Holds Read this korrent →
There is a permanent trade-off in verification: an expressive language is hard to prove things about, and a language that is easy to prove things about is hard to write in.
Holds
Duplicating logic is no longer painful, while abstractions still are.
Holds
Large language models do not reason formally: their performance collapses as a problem is made bigger, in the way a calculator's never does.
Holds
Large language models are too chaotic and language too ambiguous for them to preserve the reasoning guarantees that compilers provide.
Holds
Formal methods are a niche tool; property-based testing is the one most engineers should adopt, and stopping there is a fine place to stop.
Holds
An idea stated in a more fluent or rhyming form seems more true or persuasive than the same idea stated plainly.
Holds
Natural-language LLM mathematical reasoners are fundamentally limited by lacking machine-checkable semantics, which blocks autonomous verification needed for open-ended research.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
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.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
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.
Holds
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
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.
Holds
AI can now produce in minutes work that used to take weeks to build.
Holds