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positron26today at 5:47 PM1 replyview on HN

Hardware growth is slow and predictable, but one breakthrough algorithm completely undercuts any finance hypothesis premised on compute not flowing out of the cloud and back to the edges and into the phones.

This is a kind of risk that finance people are completely blind to. Open AI won't tell them because it keeps capital cheap. Startups that must take a chance on hardware capability remaining centralized won't even bother analyzing the possibility. With so many actors incentivized to not know or not bother asking the question, there's the biggest systematic risk.

The real whiplash will come from extrapolation. If an algorithm advance shows up promising to halve hardware requirements, finance heads will reason that we haven't hit the floor yet. A lot of capital will eventually re-deploy, but in the meantime, a great deal of it will slow down, stop, or reverse gears and get un-deployed.


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sdenton4today at 6:12 PM

AI had a kind of Jevons paradox approach to efficiency improvements, unfortunately - if you halve the compute requirements with an algorithmic advance, you can run a model twice as big.

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