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Nvidia insists it isn’t Enron, but its AI deals are testing investor faith
(www.theguardian.com)
This is a most excellent place for technology news and articles.
There might be a more direct parallel than originally intended in this with the explanation how one person works hard all day and makes less than another person who pushes a few buttons. The latter knows which buttons to push.
This technology is useless for my movie searches, but it might be useful in the same way as radar was for air defense.
BTW, I'm not sure what I'd choose if offered to pay 500 dollars for knowing what that movie is. There's one girl, if she'd be interested too to find that movie, perhaps I would.
So if such an expensive technology would allow this kind of nuanced search, and more seemingly efficient wouldn't, then we have a use case.
Or a model allowing to predict actions of other people sufficiently well, based on seemingly not precise enough data. However much it would cost, that would be justified, similarly to high-frequency trading, because it would operate on all existing value, not just what it generates.
I know, I was making two points, one is that everything is relative (what you've just agreed to), another is that it might not at all be a bubble.
On the air defence note, specialist systems are already amazing at tasks like this and can usually run fine on high end consumer tier hardware (up to a single server rack) rather than data centres with the power requirements of small countries. AI is here to stay but LLMs are absoloutely a bubble.