17 connected korrents · 17 moments from 18 Mar 2024 to 22 Sept 2026.
At the centre
The primary assets for success in consumer AI are not the AI models themselves, but rather factors like default placement, brand, habit, proprietary data, and effective product loops.
Last stated 22 Sept 2026 · a week ago
Holds
Brad DeLong
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Similar wording
As AI products converge on the same underlying models, product design becomes the real differentiator, not the model itself.
Last stated 16 Jan 2025 · 2 years ago
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Chip Huyen
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Similar wording
The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself.
Last stated 20 Mar 2026 · 6 months ago
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Arvid Kahl
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Similar wording
People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore.
Last stated 18 Sept 2026 · 2 weeks ago
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Horace Dediu
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Similar wording
An applied AI company should not train its own foundation model, because a foundation model is the fastest deteriorating asset there is.
Last stated 18 Aug 2025 · a year ago
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Bret Taylor
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Similar wording
Getting genuinely original output from AI requires working hard against the grain of its defaults.
Last stated 29 Jun 2026 · 3 months ago
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Kyle Chayka
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Similar wording
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Last stated 16 Oct 2025 · 12 months ago
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Dylan Field
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Similar wording
Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor.
Last stated 3 Apr 2026 · 6 months ago
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Arvid Kahl
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Similar wording
Consumer AI that is right 90% of the time delights people; industrial AI that is right 90% of the time is 100% dissatisfaction.
Last stated 8 Jan 2026 · 9 months ago
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Jensen Huang
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Same subject: ideas vs execution
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Last stated 17 Sept 2024 · 2 years ago
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Alex Telford
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Same subject: ideas vs execution
A good idea often fails to spread not for lack of merit but because no convenient way exists to implement it.
Last stated 7 Jun 2026 · 4 months ago
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Scott Rao
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Same subject: ideas vs execution
A loosely plotted, anarchic novel requires a correspondingly loose, unplanned writing process to produce it.
Last stated 7 Sept 2026 · 4 weeks ago
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Lincoln Michel
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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
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Sam Altman
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Same subject: OpenAI
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Last stated 3 Sept 2026 · 4 weeks ago
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Zvi Mowshowitz
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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
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Sam Altman
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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 · 10 months ago
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Ilya Sutskever
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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 · 3 months ago
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Noam Brown
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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
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Dylan Patel