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S1: A $6 R1 competitor?

(timkellogg.me)
851 points tkellogg | 2 comments | | HN request time: 0.407s | source
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swiftcoder ◴[] No.42948127[source]
> having 10,000 H100s just means that you can do 625 times more experiments than s1 did

I think the ball is very much in their court to demonstrate they actually are using their massive compute in such a productive fashion. My BigTech experience would tend to suggest that frugality went out the window the day the valuation took off, and they are in fact just burning compute for little gain, because why not...

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gessha ◴[] No.42948712[source]
This is pure speculation on my part but I think at some point a company's valuation became tied to how big their compute is so everybody jumped on the bandwagon.
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syntaxing ◴[] No.42948854[source]
Matt Levine tangentially talked about this during his podcast this past Friday (or was it the one before?). It was a good way to value these companies according to their compute size since those chips are very valuable. At a minimum, the chips are an asset that acts as a collateral.
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jxdxbx ◴[] No.42949098[source]
I hear this a lot, but what the hell. It's still computer chips. They depreciate. Short supply won't last forever. Hell, GPUs burn out. It seems like using ice sculptures as collateral, and then spring comes.
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sixothree ◴[] No.42949424[source]
Year over year gains in computing continue to slow. I think we keep forgetting that when talking about these things as assets. The thing controlling their value is the supply which is tightly controlled like diamonds.
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1. spamizbad ◴[] No.42952694[source]
> Year over year gains in computing continue to slow.

This isn't true in the AI chip space (yet). And so much of this isn't just about compute but about the memory.

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2. eek2121 ◴[] No.42953119[source]
From a per mm2 performance standpoint things absolutely have slowed considerably. Gains are primarily being eked out via process advantage (which has slowed down) and larger chips (which has an ever-shrinking limit depending on the tech used)

Chiplets have slowed the slowdown in AI, but you can see in the gaming space how much things have slowed to get an idea of what is coming for enterprise.