Artificial General Intelligence – A gentle introduction
41–50 of 201 posts
Re: Artificial General Intelligence – A gentle introduction
#42Build and train something to the point that it can read books, watch lectures and gain new knowledge by itself. When it has never heard about calculus and you give some calculus books and lectures to it and after that it can solve calculus problems, declare victory.
Re: Artificial General Intelligence – A gentle introduction
#43How do we know which institutions to trust in safely deploying AGI? From my POV some kind of autonomous and generalized intelligence is inevitable and imminent - but who can be trusted to deliver something that works for the majority? Or is that a pipe dream?
So having it "work for the majority" isn't so much a pipe dream, it's more of a roll of the dice, with completely unknown odds.
Re: Artificial General Intelligence – A gentle introduction
#44Earlier quoted context omitted.
I don't want be too human-centric, but to be completely honest we haven't seen the slightest proof that human intelligence is not something special. I know lots of animals are pretty clever, none approach us in any practical sense. While it looks like an evolutionairy fluke that can be approached or even exceeded by other species - either on this or another planet - in the blink of an eye, I think that's actually mor…
> we haven't seen the slightest proof that human intelligence is not something special. Have we seen the slightest proof of opposite? > I know lots of animals are pretty clever, none approach us in any practical sense. What senses might you consider as enough practical? Have you heard about Koko? What do you think about corvidae?
Well, for one, I see no competition. I don't know what the technical definition of "special" is, but I'd say being the only one counts for something.
> What senses might you consider as enough practical? Have you heard about Koko? What do you think about corvidae?
I know both and I know this is a slippery slope. You should know my love for animals runs deep, but I really struggly to put them in the same league as us.
I took a shortcut with saying "practical", because this discussion is way too deep to be performed A) by me and B) on HN. Practical means something like, can they adapt their skills as widely as we can? Can they adapt to uncommon situations? Not subtly or in theory, like solving some puzzle, but really practical? There is nothing subtle about a human becoming a parkour world champignon (I'm leaving this in, just too good) or adapting to life in a submarine (or learning chess, or whittling, or making tea, and many literal millions more examples).
Maybe I am overlooking something, but the skills these animals show seem really minor compared to what even disadvantaged humans are capable of.
Re: Artificial General Intelligence – A gentle introduction
#45Earlier quoted context omitted.
> we haven't seen the slightest proof that human intelligence is not something special. Have we seen the slightest proof of opposite? > I know lots of animals are pretty clever, none approach us in any practical sense. What senses might you consider as enough practical? Have you heard about Koko? What do you think about corvidae?
I’m not weighing in on the debate, but there does seem to be a great deal of doubt that Koko was using language in an intelligent way.
What are your doubts, are they related on some data?
Re: Artificial General Intelligence – A gentle introduction
#46The article by Alan Turing is remarkable. He was so ahead of his time!
Re: Artificial General Intelligence – A gentle introduction
#47How is it possible to make an introduction to something that doesn't exist?
Regulative ideas, ideals, can be productive.
Re: Artificial General Intelligence – A gentle introduction
#48So some people like to repeat. Yet, outside of the hand-picked examples in the article (the 5th generation computer project? Blast from the past!) there are a whole bunch of classic AI domains where real progress has been achieved in the last few decades. Here's a few:
* Game-playing and adversarial search: from Deep Blue to AlphaGo and muZero, minimax-like search has continued to dominate.
* Automated planning and schdeduling: e.g. used by NASA in automated navigation systems on its spaceships and Mars rovers (e.g. Perserverance) [1]
* Automated theorem proving: probably the clearest, most comprehensible success of classical AI. Proof assitants are most popular today.
* Boolean satisfiability solving (SAT): SAT solvers based on the Conflict Driver Clause Learning algorithm can now solve many instances of traditionally hard SAT problems [2].
* Program verification and model checking: model checking is a staple in the semiconductor industry [3] and in software engineering fields like security.
Of course, none of all that is considered Artificial Intelligence anymore: because they work very well [4].
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[1] https://www.nasa.gov/centers/ames/research/technology-onepag...
[2] https://en.wikipedia.org/wiki/Conflict-driven_clause_learnin...
[3] https://m-cacm.acm.org/magazines/2021/7/253448-program-verif...
Re: Artificial General Intelligence – A gentle introduction
#49Given very specific, practical, functional definitions, AGI is a breeze.
Re: Artificial General Intelligence – A gentle introduction
#50Earlier quoted context omitted.
You need theory before you get implementation.
Wager: None of the theory on this page will have any bearing on the implementation of a real world AI system that solves any problem of interest. Not that there aren't problems to solve regarding AI, just that this line of inquiry won't be relevant to solving them. It'll be complicated boring work dealing with power structures, economics, and social movements, not thought experiments about omnipotent Others.
It is not fully clear what you mean with "«this line of inquiry»", because the submission does not seem to deal with «omnipotent Others», and because the «boring work» will have no foundation without the actual product and its theoretical and technical enablers.