We haven't really nailed down what "a very large proportion" would be; I'm just trying to estimate what the actual fraction is.
Looking at the semiconductor industry market share data that you linked, I notice that numbers 2-11 represent SoCs, DRAM, flash, communication ICs, power ICs, microcontrollers, basically everything except for server CPUs and GPUs. If we look at just the parts that are potentially relevant to AI, the non-mobile CPU market seems to firmly belong to Intel, while the non-mobile GPU market belongs to AMD and nVidia ($5 and $3.6B revenues, respectively).
It's still not very clear to me how much Google spends directly on computation; the author of the linked article seemed to think the $7B was mostly on datacenters. Even if it's only a fraction of that, it's a lot. Compare to the largest supercomputres: Tianhe-2 cost $390M and Titan cost $97M, according to their respective Wikipedia pages.)
From what I've seen Google probably owns around 2-3% of the world's servers, which is probably on the order of 2 million machines.
Google claims that their datacenters use 1% of the estimated electricity consumption for data centers world wide and that their data centers are about twice as efficient as the average data center.
While those conclusions appear to be drawn from data that is several years old, it seems reasonable to assume that Google hasn't grown at a rate substantially different from the industry as a whole.
Maybe they own 4% of the world's serv...
Any scenario where advanced AI takes over the world requires some mechanism for an AI to leverage its position as ethereal resident of a computer somewhere into command over a lot of physical resources.
One classic story of how this could happen, from Eliezer:
You can do a lot of reasoning about AI takeover without any particular picture of how the world gets taken over. Nonetheless it would be nice to have an understanding of these possible routes. For preparation purposes, and also because a concrete, plausible pictures of doom are probably more motivating grounds for concern than abstract arguments.
So MIRI is interested in making a better list of possible concrete routes to AI taking over the world. And for this, we ask your assistance.
What are some other concrete AI takeover mechanisms? If an AI did not have a solution to the protein folding problem, and a DNA synthesis lab to write off to, what else might it do?
We would like suggestions that take an AI from being on an internet-connected computer to controlling substantial physical resources, or having substantial manufacturing ability.
We would especially like suggestions which are plausible given technology that normal scientists would expect in the next 15 years. So limited involvement of advanced nanotechnology and quantum computers would be appreciated.
We welcome partial suggestions, e.g. 'you can take control of a self-driving car from the internet - probably that could be useful in some schemes'.
Thank you!