But here's a link to the podcast episode if you want to give it a listen. It will inform a lot to the discussion taking place here and help you understand a few of the things he said that are probably now wrong: https://www.dwarkesh.com/p/jensen-huang

If they don't need NVIDIA then why is the now former CEO of NVIDIA trying so hard to allow exprt controls to be relaxed.

And it's because brute forcing only allows you to not fall behind, but you can't catch up to frontier models or surpass.

Let's assume for a second that the compromat story on Huang is true, how much would that have cost? It could be everywhere from 10k to 10m $, depending on how difficult it was to get access, but it would still be a rounding error for AI invest.

Chips aren't what maketh SI anyway. The US is ahead because of a trifecta of having the best (most) hardware, best data, and best talent. You might also throw in business culture. But the same way Google is leading from behind in the US AI eco system, China is behind the frontier on LLMs, but laying foundational work in robotics, multi-modal models and integrated factories that might prove a big advantage down the line.