I’d also note that the energy required to speed up a physical action increases with the square of the velocity.
So let’s take a military drone that normally must get confirmation from a human operator before firing at a target. This is the bottleneck for its firing. If an AI takes full control of this drone, the drone is now bottlenecked by things like:
The AI’s processing speed in choosing targets in light of its latest observations and plans
The drone’s speed in aiming at the target
The drone’s speed in moving to a new position
The speed with which the drone can be resupplied with ammunition or fuel
The rate at which it needs to be repaired
If the motion of the drone was speeded up by 100x due to the AI’s processing speed being 100x faster, then this would require at least a 10,000x increase in energy requirements.
Currently existing technology is typically engineered to operate to tolerate demands within the requirements for which it was originally designed. Presently existing drones can’t just be commandeered by an AI and made to move at 100x their normal speed.
This also applies to whatever robots would be necessary for the AI to build a drone army capable of taking full advantage of the AI’s faster processing power. And the AI can’t just pull 10,000x the energy from our present infrastructure. It would have to build an infrastructure capable of supplying that amount of energy using presently existing infrastructure.
It might be that an AGI could achieve a 100x gain in the efficiency in achieving its goals via its superior processing power, constant operation, and ~total self-control. For example, it might be able to figure out a way of attacking using drones that much more efficiently destroys the morale and coordination abilities of its opponent, while still operating at normal drone speed.
I’d also note that the energy required to speed up a physical action increases with the square of the velocity.
So let’s take a military drone that normally must get confirmation from a human operator before firing at a target. This is the bottleneck for its firing. If an AI takes full control of this drone, the drone is now bottlenecked by things like:
The AI’s processing speed in choosing targets in light of its latest observations and plans
The drone’s speed in aiming at the target
The drone’s speed in moving to a new position
The speed with which the drone can be resupplied with ammunition or fuel
The rate at which it needs to be repaired
If the motion of the drone was speeded up by 100x due to the AI’s processing speed being 100x faster, then this would require at least a 10,000x increase in energy requirements.
Currently existing technology is typically engineered to operate to tolerate demands within the requirements for which it was originally designed. Presently existing drones can’t just be commandeered by an AI and made to move at 100x their normal speed.
This also applies to whatever robots would be necessary for the AI to build a drone army capable of taking full advantage of the AI’s faster processing power. And the AI can’t just pull 10,000x the energy from our present infrastructure. It would have to build an infrastructure capable of supplying that amount of energy using presently existing infrastructure.
It might be that an AGI could achieve a 100x gain in the efficiency in achieving its goals via its superior processing power, constant operation, and ~total self-control. For example, it might be able to figure out a way of attacking using drones that much more efficiently destroys the morale and coordination abilities of its opponent, while still operating at normal drone speed.