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Comment Re: If the LLM based AI bubble does pop. (Score 1) 76

I'm really hoping it pops before the Pitt Race track gets bulldozed.

Story for those not in the know, what's heavily rumored and circumstantially almost certain to be an AI datacenter operation is in the process of buying out Pitt Race at the height of its success from the already generationally wealthy family that owns it for what's rumored to be a 9-digit sum. The race track happens to be next to some major electrical infrastructure. Equipment from the track has already been auctioned off.

I was also kind of hoping the nuclear reactors might get started before it pops but that might be wanting to have the cake and eat it too...

Comment Re:If the LLM based AI bubble does pop. (Score 1) 76

I'm thinking sometime between right now and late 2026. It may be starting to pop already.

The guts of the data centers will mostly head for the landfill (or may get a short stint as cryptocurrency mining or HPC operations at most), they may get repurposed as conventional data centers or possibly warehouses or factories.

Comment Re:Billionaires are spending trillions (Score 1) 76

Counterpoints: The Great Depression, the impoverishment of the Luddites, the impoverishment of Gen. Y/Z/Alpha. The French revolution was an outlier, and the French aristocracy didn't even have the benefit of a massive heavily automated surveillance apparatus, much less the ability to even dream of armed killbots.

Comment Re:Could the AI bubble do something good? (Score 2) 54

They're both cheaper than fossil fuels, the main problem with nuclear has been that it can't be built in time to help with global warming and so can serve as a distraction that ties up resources that could've gone into renewables. A mad scramble to build them for the AI bubble could fix that, at least temporarily.

Comment Did they prevent access to enough information? (Score 1) 19

I'm reminded of what the Benetton F1 team did when rules specifically prevented teams from using wheel speed and gear information to run traction control systems. Instead they used a combination of incoming air stream pressure (similar to how an aircraft's pitot-static system works) in combination with some preloaded per-event data and track position information to make another traction control system that did the same job.

Information about past leases and public data from competing landlords might still be enough to do the job.

Comment Re:Dumbass puts huge money late into obvious bubbl (Score 1) 102

An LLM may be an ingredient, but the current commercial approach of trying to just build an LLM so big that it magically becomes an AGI somehow (or I think the idea may be to make a stochastic parrot good enough to be hard to distinguish from an AGI) sure doesn't look anything like a path, especially when the returns are diminishing so hard.

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