17 connected korrents · 16 moments from 10 Nov 2009 to 24 Sept 2026.
At the centre
A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade.
Last stated 26 Jul 2026 · 3 months ago
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Jensen Huang
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Similar wording
Repeated rewrites are the correct answer under fast growth, because a system specified to scale forever would take so long to build that the company would die before it shipped.
Last stated 1 Apr 2026 · 7 months ago
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Thuan Pham
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Similar wording
The half-life of a technology company is short, and the few that last decades are the exception rather than the rule.
Last stated 18 Aug 2025 · a year ago
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Bret Taylor
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Similar wording
Deploying a new technology at scale takes decades, far longer than the people building it imagine.
Last stated 17 Apr 2025 · 2 years ago
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Rodney Brooks
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Similar wording
Tools this complicated need a ten-to-fifteen-year horizon, which is why they belong in a philanthropy rather than a startup.
Last stated 10 Jun 2026 · 4 months ago
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Mark Zuckerberg
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Similar wording
Another platform shift, not a break in history: the new technology will be built on for ten or fifteen years, then something else will replace it.
Last stated 2 Sept 2025 · a year ago
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Benedict Evans
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Similar wording
Choose to learn things that will make you smarter in 10 or 20 years rather than things that may soon be obsolete
Last stated 10 Nov 2009 · 17 years ago
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Alice Schroeder
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Similar wording
Software cannot reach its next level until somebody builds the next level of hardware underneath it.
Last stated 7 Jun 2026 · 5 months ago
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Tony Fadell
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Similar wording
Before building on a gap in the general models, work out whether that gap survives six months or three years.
Last stated 30 Jul 2026 · 3 months ago
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Jeff Dean
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Same subject: semiconductors
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
Last stated 22 Sept 2026 · 4 weeks ago
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Tyler Cowen
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Same subject: semiconductors
A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome.
Last stated 30 Jul 2026 · 3 months ago
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Jeff Dean
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Same subject: semiconductors
A foundry is a trust business before it is a technology business: a customer whose wafers yield badly misses its own revenue.
Last stated 18 Jun 2026 · 4 months ago
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Lip-Bu Tan
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Same subject: data centers
AI data centers have shifted from about 1 CPU per 8 GPUs to roughly 1:4, and the ratio could shrink to 1:1.
Last stated 24 Sept 2026 · 4 weeks ago
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Gergely Orosz
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Same subject: data centers
Building capacity at massive scale on a single hardware generation is the trap; pacing matters more than gigawatts.
Last stated 12 Nov 2025 · 11 months ago
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Satya Nadella
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Same subject: data centers
Data centres in orbit will be a better business than Starlink, because an inference token is worth far more per byte than a video packet.
Last stated 10 Feb 2026 · 8 months ago
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Casey Handmer
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Same subject: Japan
A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it.
Last stated 18 Jun 2026 · 4 months ago
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Lip-Bu Tan
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Same subject: Japan
The copyright problem in AI training already has a legal solution nobody is taking: train the models in Japan, where copyright does not apply to training data.
Last stated 3 Feb 2025 · 2 years ago
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Dylan Patel
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Same subject: Japan
A country is primarily for its native people
Last stated 15 Sept 2025 · a year ago
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David Heinemeier Hansson