[_aavaa_]

> AI is more expensive today than it was three years ago, and it is not getting cheaper. Sam Altman’s comments about “intelligence too cheap to meter” were lies. NVIDIA’s Blackwell GPUs didn’t make it cheaper, and its Vera Rubin GPUs won’t either. Google’s TPUs won’t do it, Amazon’s Trainium or Inferentia chips won’t do it, Vera Rubin CPUs won’t do it, OpenAI’s chips won’t do it, and no, DeepSeek won’t do it either.

Has this man ever heard of Jevon’s paradox?

Also all of these claims are objectively wrong today because the goal posts for what AI have been moving this whole time. The models we have today do more, are faster, smaller, and cost less than what was available 3 years ago.

[KolibriFly]

This is exactly what is happening right now. Models are becoming more efficient but at the same time users are starting to tackle tasks they previously didn’t even try to automate.

But Jevons paradox explains the increase in consumption, but it does not necessarily answer the question of business profitability

[_aavaa_]

Maybe, maybe not. But his argument here is about cost, not profit. And on the cost front he is objectively wrong, and could easily see this if he cared to look. But he won’t since that would prevent him from making his bombastic content.