17 connected korrents · 13 moments on record from 5 Nov 2019 to 10 Sept 2026.
At the centre
Frontier AI labs improve via a flywheel of getting the smartest people on leading models, then distilling their inputs, model outputs, and synthetic data, with users locked in by mutual competition.
Last stated 10 Sept 2026 · 2 days ago
Holds
Naval Ravikant
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Similar wording
There is no private evidence behind frontier-lab confidence in fast AI progress; the evidence is public and outsiders have simply not absorbed it.
Last stated 20 Dec 2024 · 2 years ago
Holds MBMiles Brundage
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Frontier AI work is scientific research, and it needs a completely different operating model from the one internet companies were built on.
Last stated 29 Jul 2026 · a month ago
Holds AWAlexandr Wang
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If reasoning can be separated from facts, the frontier labs lose their advantage, because nobody needs a million-GPU cluster any more.
Last stated 19 Jun 2024 · 2 years ago
Holds ASAravind Srinivas
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A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Last stated 27 Jul 2026 · 2 months ago
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Boris Cherny
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There is far less trade-off than people assume between a safer AI race and widely shared gains: a big lead can be held by a widely owned public company.
Last stated 4 Jun 2026 · 3 months ago
Holds PTPhil Trammell
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A frontier lab should not spend its researchers harvesting results out of today's models; the payoff is in building the next one.
Last stated 26 Jun 2026 · 3 months ago
Holds NBNoam Brown
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A swarm of untrusted volunteers on the internet could improve models and run circles around the frontier labs, because the earth has far more compute than they do.
Last stated 20 Mar 2026 · 6 months ago
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Andrej Karpathy
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Nobody inside a frontier lab can speak freely about AI, because there are things the organisation will not let them say and things it wants them to say.
Last stated 20 Mar 2026 · 6 months ago
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Andrej Karpathy
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Same subject: measuring intelligence
If intelligence is the process of acquiring skills, no single task demonstrates intelligence unless it is a meta-task of skill-acquisition across many tasks.
Last stated 5 Nov 2019 · 7 years ago
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François Chollet
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Same subject: measuring intelligence
Solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience.
Last stated 5 Nov 2019 · 7 years ago
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François Chollet
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Same subject: measuring intelligence
The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans.
Last stated 5 Nov 2019 · 7 years ago
Holds
François Chollet
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Same subject: Google
A company's staff-engineer bar should be set against the best companies in the industry rather than against its own history, which is what makes title inflation a real cost.
Last stated 1 Apr 2026 · 5 months ago
Holds TPThuan Pham
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Same subject: Google
A crewed rocket cannot be made safe by making the booster reliable, so the only real way to improve safety is to carry an escape system.
Last stated 14 Dec 2023 · 3 years ago
Holds JBJeff Bezos
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Same subject: Google
A monopolist that can no longer grow by winning new users can only grow by making its product worse for the users it already has.
Last stated 28 Jul 2023 · 3 years ago
Holds CDCory Doctorow
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Same subject: AGI
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Last stated 4 Jun 2026 · 3 months ago
Holds AIAlex Imas
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Same subject: AGI
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Last stated 25 Nov 2025 · 10 months ago
Holds ISIlya Sutskever
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Same subject: AGI
A poor country should prioritise owning a piece of AI over retraining its workers, but it should not bet everything on that.
Last stated 4 Jun 2026 · 3 months ago
Holds PTPhil Trammell