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387 points reaperducer | 1 comments | | HN request time: 0s | source
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SubiculumCode ◴[] No.45772210[source]
Given that AI is a national security matter now, I'd expect the U.S.A to step in and rescue certain companies in the event of a crash. However, I'd give higher chances to NVIDIA than OpenAI. Weights are easily transferrable and the expertise is in the engineers, but ability to continue making advanced chips is not as easily transferred.
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embedding-shape ◴[] No.45772241[source]
Why is ML knowledge "in the engineers" while chip manufacturing apparently sits in the company/hardware/something else than the engineers/humans?
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NBJack ◴[] No.45772325[source]
Read up a bit on the effort needed to get a fab going, and the yield rates. While engineers are crucial in the setup, the fab itself is not as 'fungible' as the employees involved.

I can spin up a strong ML team through hiring in probably 6-12 months with the right funding. Building a chip fab and getting it to a sensible yield would take 3-5 years, significantly more funding, strong supply lines, etc.

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1. OfficialTurkey ◴[] No.45772509[source]
> I can spin up a strong ML team through hiring in probably 6-12 months with the right funding.

Mark Zuckerberg would like a word with you