Why expect AGIs to be better at thinking than human beings? Is there some argument that human thinking problems are primarily due to hardware constraints? Has anyone here put much thought into parenting/educating AGIs?
Why expect AGIs to be better at thinking than human beings? Is there some argument that human thinking problems are primarily due to hardware constraints? Has anyone here put much thought into parenting/educating AGIs?
I suspect this has been answered on here before in a lot more detail, but:
Also, specifically in AI, there is some precedent for there to be only a few years between "researchers get ...
I'm getting an error trying to load Lumifer's comment in the highly nested discussion, but I can see it in my inbox, so I'll try replying here without the nesting. For this comment, I will quote everything I reply to so it stands alone better.
Isn't it convenient that I don't have to care about these infinitely many theories?
why not?
Why not what?
Why don't you have to care about the infinity of theories?
you can criticize categories, e.g. all ideas with feature X
...How can you know that every single theory in that infinity has feature X? o
Has anyone here put much thought into parenting/educating AGIs?
I'm interested in General Intelligence Augmentation, what it would be like try and build/train an artificial brain lobe and try and make it part of a normal human intelligence.
I wrote a bit on my current thoughts on how I expect to align it using training/education here but watching this presentation is necessary for context.
Because
"[the brain] is sending signals at a millionth the speed of light, firing at 100 Hz, and even in heat dissipation [...] 50000 times the thermodynamic minimum energy expenditure per binary swtich operation"
https://www.youtube.com/watch?v=EUjc1WuyPT8&t=3320s
AI will be quantitatively smarter because it'll be able to think over 10000 times faster (arbitrary conservative lower bound) and it will be qualitatively smarter because its software will be built by an algoirthm far better than evolution
Because most discussions suffer from the problem of different people understanding the same word differently. This is especially pronounced for labels (aka shortcuts to complicated concepts).
Hold on. First, is it acceptable to have multiple models at the same time? Do you have to declare one of them the best? It's not uncommon to have many models none of which you can falsify at the moment, how do you sort them out?
You can "have" multiple models in the sense of knowing about them and being able to use them if you wanted to.
But if your N models all contradict, then at least N-1 of them are wrong. So you shouldn't simultaneously believe 2+ of them are true.
You can always have a non-refuted idea about how to proceed in life (with low enough resource cost, not with e.g. infinite time). This stuff is covered at length but is complicated to learn. Are you interested in doing things like reading a bunch and discussing it as you go along so you can learn it?