17 connected korrents · 18 moments from 5 Nov 2019 to 13 Oct 2026.
At the centre
The speed of AI's economic impact is limited by how fast individuals, organizations, and institutions can adapt, not by how fast the technology itself improves.
Last stated 15 Apr 2025 · 2 years ago
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Arvind Narayanan
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Similar wording
Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter.
Last stated 18 Aug 2025 · a year ago
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Bret Taylor
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Similar wording
The bottleneck in AI is no longer the progress of the models but their diffusion — if the models froze today, the economy would still take decades to absorb what already exists.
Last stated 29 Jul 2026 · 3 months ago
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Alexandr Wang
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Similar wording
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Last stated 12 Nov 2025 · 11 months ago
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Satya Nadella
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Similar wording
The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy
Last stated 11 Oct 2026 · 2 weeks ago
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Pieter Levels
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Similar wording
AI will have ten times the impact of the Industrial Revolution and arrive ten times faster, which is what will make it hard for society to absorb.
Last stated 23 Jul 2025 · a year ago
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Demis Hassabis
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Similar wording
The sophistication of the AI ecosystem is permeating the enterprise more quickly than any previous wave.
Last stated 13 Oct 2026 · 2 weeks ago
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Tomasz Tunguz
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Similar wording
It will take time for the full effects of today's already-capable AI models to be felt, and for culture, industry, and government to adapt to them.
Last stated 16 Apr 2026 · 6 months ago
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Kyle Kingsbury
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Similar wording
Maximizing the speed of AI capability advancement no longer maximizes the overall rate of technological progress.
Last stated 13 Sept 2026 · a month ago
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Venkatesh Rao
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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
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Mr. Money Mustache
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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
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Buck Shlegeris
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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
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Henrik Karlsson
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Same subject: measuring intelligence
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Last stated 15 Sept 2026 · a month ago
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Paul Graham
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Same subject: measuring intelligence
Being able to statistically predict what someone will say does not mean you understand them.
Last stated 18 Sept 2026 · a month ago
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Cory Doctorow
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Same subject: measuring intelligence
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Last stated 5 Nov 2019 · 7 years ago
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François Chollet
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Same subject: LLMs
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 1 Jan 2026 · 10 months ago
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Jason Lemkin
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Same subject: LLMs
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 15 Jul 2026 · 3 months ago
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Dex Horthy
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Same subject: LLMs
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · a month ago
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Patrick Collison