For significant speedup of computations, super-advanced AI needs new computational medium, and nanotech could be such medium.
But this creates a problem of chicken and an egg: to invent nanotech, the AI has to be able to perform significantly more computations which are available now. But it can’t do this without nanotech.
This creates an obstacle to the idea that first AI will be able to rush to create nanotech.
Are you thinking quantum computers specifically? IIRC, quantum computers can simulate quantum phenomena much more efficiently at scale than classical computers.
EDIT: For early proofs of efficient quantum simulation with quantum computers, see:
I didn’t think about QC. But the idea still holds: if runaway AI needs to hack of build advance QC to solve diamondoid problem, it will make it more vulnerable and observable.
For significant speedup of computations, super-advanced AI needs new computational medium, and nanotech could be such medium.
But this creates a problem of chicken and an egg: to invent nanotech, the AI has to be able to perform significantly more computations which are available now. But it can’t do this without nanotech.
This creates an obstacle to the idea that first AI will be able to rush to create nanotech.
Are you thinking quantum computers specifically? IIRC, quantum computers can simulate quantum phenomena much more efficiently at scale than classical computers.
EDIT: For early proofs of efficient quantum simulation with quantum computers, see:
Lloyd, 1996 https://fab.cba.mit.edu/classes/862.22/notes/computation/Lloyd-1996.pdf
Zalka, 1996 https://arxiv.org/abs/quant-ph/9603026v2
I didn’t think about QC. But the idea still holds: if runaway AI needs to hack of build advance QC to solve diamondoid problem, it will make it more vulnerable and observable.