17 connected korrents · 14 moments on record from 22 Apr 2024 to 18 Aug 2026.
At the centre
Nobody should still be learning the CAP theorem, because the theorem that replaced it is more complete, no more complicated, and simpler to understand.
Last stated 24 Jun 2026 · 2 months ago
Holds NENeetCode
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Similar wording
Models can prove monumental theorems and still have never written an essay worth reading.
Last stated 31 Jul 2026 · a month ago
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Patrick Collison
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Similar wording
The fear that a great theorem will arrive as an incomprehensible proof is misplaced, because once the proof exists as an artifact we can analyse it.
Last stated 20 Mar 2026 · 6 months ago
Holds TTTerence Tao
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Similar wording
Machine learning is a shallow field compared with mathematics: even its most important ideas can be explained in a couple of minutes.
Last stated 11 Aug 2026 · 4 weeks ago
Holds RGRyan Greenblatt
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Similar wording
No single person can understand a result like the Higgs boson in depth, and that is what a paper with a thousand authors actually means.
Last stated 7 Apr 2026 · 5 months ago
Holds MNMichael Nielsen
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Similar wording
Group theory took a hundred years to travel from one man's hunch to something the mathematical community agreed was good, passing through many heads on the way.
Last stated 30 Jun 2026 · 2 months ago
Holds GSGrant Sanderson
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Similar wording
Higher-level abstractions do not abolish low-level knowledge; they concentrate it in the smaller group of people who build the abstractions.
Last stated 22 Apr 2026 · 5 months ago
Holds MKMartin Kleppmann
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Similar wording
That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental.
Last stated 25 Nov 2025 · 9 months ago
Holds ISIlya Sutskever
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Similar wording
Programmers fail to recognise how much mathematics their job uses because the mathematics it needs is discrete and school teaches the continuous kind.
Last stated 29 Jul 2026 · a month ago
Holds HWHillel Wayne
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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 GMGary Marcus
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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 TCTed Chiang
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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 SCSean Carroll
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Same subject: formal proof
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.
Last stated 22 Apr 2026 · 5 months ago
Holds MKMartin Kleppmann
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Same subject: formal proof
Formal verification is about to become economical, because models are getting good enough at writing the proofs that humans no longer have to.
Last stated 22 Apr 2026 · 5 months ago
Holds MKMartin Kleppmann
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Same subject: formal proof
Formalising a proof in Lean currently takes about ten times the effort of writing it out: doable, but annoying.
Last stated 14 Jun 2025 · a year ago
Holds TTTerence Tao
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Same subject: AI and science
AI will transform how scientific discovery is done, and within two or three years a working scientist's job will already look dramatically different.
Last stated 18 Aug 2026 · 3 weeks ago
Holds MKMichael Kratsios
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Same subject: AI and science
Autonomous cloud labs that run the whole loop — hypothesis, experiment, result, next hypothesis — without human intervention are within reach.
Last stated 18 Aug 2026 · 3 weeks ago
Holds MKMichael Kratsios
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Same subject: AI and science
Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect.
Last stated 14 Jun 2025 · a year ago
Holds TTTerence Tao