Hi Tom,
Technological improvements increasing the efficiency of a resource do
not lead to a fall but to a rise in total consumption of that resources.
That's a well-known effect. See e.g.
https://en.wikipedia.org/wiki/Jevons_paradox.
> But how much?
There are countless projections and surveys like the one shared by
Andrei. We fortunately do not have to rely on bloggers with no
considerable qualification in that area.
Best
Magnus
On 7/27/26 15:27, Tom Ellis via ghc-devs wrote:
On Mon, Jul 27, 2026 at 02:22:07PM +0200, Andreas Klebinger via ghc-devs wrote:
For the scale we care about it holds that:
* compute ~= energy
Technological progress in silicon manufacturing leads to smaller
chips, which send signals over smaller distances and are therefore
both faster and more energy efficient. How do you reconcile this with
your claim?
Still, I don't think that claim is needed for this one:
The only reason to build data centres on mass is then to scale compute
massively, which increases energy consumption accordingly.
I certainly have no objection to the claim that more energy is going
into AI workloads as time goes on. But how much? And is it an
*unjustifiable* amount? That's the question that needs to be answered.
Tom
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