@Npars01 @noellemitchell Sorry, that does not track with what the hyperscalars are actually doing. Training runs need high continuous base load and even coal doesn’t do that well.

In reality, GenAI requirements are turbocharging the drive to carbon-free nuclear

datacenterfrontier.com/cloud/a

@dragonsidedd @Npars01 @noellemitchell nuclear is slow to build. Gas is what’s being built, because their return on investment works on the scales of political cycles a industry can support.

And your argument for continuous loads is partially false. Training runs for the mega-models do last for months, but between runs there is great variability. And that’s where gas shines.

powermag.com/industry-exec-dat

@gimulnautti @dragonsidedd @Npars01 @noellemitchell nuclear is not only slow to build and mired in regulatory gates, but slow to roi. Profit does not manifest for sixteen *years* after the plants construction, fueling, and activation to to grid.

Overhead costs are enormous as well. Armed guards, safety crews, training etc...all add up.

Solar, wind and hydro offer turnkey profit in less than a year. Very attractive.

@Nimbius666 @gimulnautti @noellemitchell @Npars01 @dragonsidedd

"Too cheap to meter" nuclear is just a few years away... and has been for 60 years now.

@BashStKid Hang on, the ability to create virtual realities entirely in my head in which I have superpowers isn't itself a superpower? Ffffff....

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