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I have concluded the entire public discourse surrounding AI has no relationship to real stuff that you can go, test, and point at.

There’s a loop of everyone is saying stuff because everyone else is saying stuff that turns into a sort of reality inspired fan fiction.

It’s not just that it’s wrong or imprecise, that I expect, it’s that the folklore takes on a life of its own.

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Hyperscale exists as a term pre-LLM-hype. It mainly exists to describe the kind of datacenteres that companies like google and amazon have been building for at least a decade now: very large, very highly integrated and customised hardware, with a focus on cloud deployment and management strategies. This is to distinguish from just a large datacenter built with commodity server parts from a set of vendors (i.e. the kinds of servers 99% of people will be able to lay their hands on. Another way to put it is that if you're not writing your own BIOS/BMC/etc, you're probably not hyperscaling).
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It always makes me think of a hyperactive toddler running around in circles, which oddly fits most thought leaders who use the term.
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That's not fair to the toddlers; their crap tends to be safely contained in a diaper as opposed to their heads.
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Nobody really uses the term in the Valley except probably C-level people talking to Wall street investors.
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Superscaler sounds too much like superscalar…
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