I appreciate your views on space and AI working with ML systems in that way might be useful.
But I think that I am drawn to the base reality a lot because of threats to that from things like gamma ray bursts or aliens. These things can only be represented probabilistically in simulations because they are out of context. The branching tree explodes with possibilities.
I agree that we aren’t ready for agents , but I would like to try to build time non-static intelligence augmentation as slowly as possible. Starting with building systems to control and shape them tested out with static ML systems. Then testing them with people. Then testing them inside simulations etc
Of course, the place AI is just one of the ways, we shouldn’t focus only on it, it’ll not be wise. The place AI has certain properties that I think can be useful to somehow replicate in other types of AIs: the place “loves” to be changed 100% of the time (like a sculpture), it’s “so slow that it’s static” (it basically doesn’t do anything itself, except some simple algorithms that we can build on top of it, we bring it to life and change it), it only does what we want, because we are the only ones who do things in it… There are some simple physical properties of agents, basically the more space-like they are, the safer they are. Thank you for this discussion, Will!
P.S. I agree that we should care first and foremost about the base reality, it’ll be great to one day have spaceships flying in all directions, with human astronauts exploring new planets everywhere, we can give them all our simulated Earth to hop in and out off, so they won’t feel as much homesick.
I appreciate your views on space and AI working with ML systems in that way might be useful.
But I think that I am drawn to the base reality a lot because of threats to that from things like gamma ray bursts or aliens. These things can only be represented probabilistically in simulations because they are out of context. The branching tree explodes with possibilities.
I agree that we aren’t ready for agents , but I would like to try to build time non-static intelligence augmentation as slowly as possible. Starting with building systems to control and shape them tested out with static ML systems. Then testing them with people. Then testing them inside simulations etc
Of course, the place AI is just one of the ways, we shouldn’t focus only on it, it’ll not be wise. The place AI has certain properties that I think can be useful to somehow replicate in other types of AIs: the place “loves” to be changed 100% of the time (like a sculpture), it’s “so slow that it’s static” (it basically doesn’t do anything itself, except some simple algorithms that we can build on top of it, we bring it to life and change it), it only does what we want, because we are the only ones who do things in it… There are some simple physical properties of agents, basically the more space-like they are, the safer they are. Thank you for this discussion, Will!
P.S. I agree that we should care first and foremost about the base reality, it’ll be great to one day have spaceships flying in all directions, with human astronauts exploring new planets everywhere, we can give them all our simulated Earth to hop in and out off, so they won’t feel as much homesick.