You can progress scientifically to make AI if you copy human architecture somewhat.
I think you're making the mistake of relying too heavily on our one sample of a general intelligence: the human brain. How do we know which parts to copy and which parts to discard? To draw an analogy to flight, how can we tell which parts of the brain are equivalent to a bird's beak and which parts are equivalent to wings? We need to understand intelligence before we can successfully implement it. Research on the human brain is expensive, requires going through a lot of red tape, and it's already being done by other groups. More importantly, planes do not fly because they are similar to birds. Planes fly because we figured out a theory of aerodynamics. Planes would fly just as well if no birds ever existed, and explaining aerodynamics doesn't require any talk of birds.
I don't see how we can hope make significant progress on non-human AI. How will we test whether our theories are correct or on the right path?
I don't see how we can hope to make significant progress on non-bird flight. How will we test whether our theories are correct or on the right path?
Just because you can't think of a way to solve a problem doesn't mean that a solution is intractable. We don't yet have the equivalent of a theory of aerodynamics for intelligence, but we do know that it is a computational process. Any algorithm, including whatever makes up intelligence, can be expressed mathematically.
As to the rest of your comment, I can't really respond to the questions about SIAI's behavior, since I don't know much about what they're up to.
Okay, let us say you want to make a test for intelligence, just as there was a test for the lift generated by a fixed wing.
As you are testing a computational system there are two things you can look at, the input-output relation and the dynamics of the internal system.
Looking purely at the IO relation is not informative, they can be fooled by GLUTs or compressed versions of the same. This is why the loebner prize has not lead to real AI in general. And making a system that can solve a single problem that we consider requires intelligence (such as chess), j...
Last summer, 15 Less Wrongers, under the auspices of SIAI, gathered in a big house in Santa Clara (in the SF bay area), with whiteboards, existential risk-reducing projects, and the ambition to learn and do.
Now, the new and better version has arrived. We’re taking folks on a rolling basis to come join in our projects, learn and strategize with us, and consider long term life paths. Working with this crowd transformed my world; it felt like I was learning to think. I wouldn’t be surprised if it can transform yours.
A representative sample of current projects:
Interested, but not sure whether to apply?
Past experience indicates that more than one brilliant, capable person refrained from contacting SIAI, because they weren’t sure they were “good enough”. That kind of timidity destroys the world, by failing to save it. So if that’s your situation, send us an email. Let us be the one to say “no”. Glancing at an extra application is cheap, and losing out on a capable applicant is expensive.
And if you’re seriously interested in risk reduction but at a later time, or in another capacity -- send us an email anyway. Coordinated groups accomplish more than uncoordinated groups; and if you care about risk reduction, we want to know.
What we’re looking for
At bottom, we’re looking for anyone who:
Bonus points for any (you don’t need them all) of the following traits:
If you think this might be you, send a quick email to jasen@intelligence.org. Include:
Our application process is fairly informal, so send us a quick email as initial inquiry and we can decide whether or not to follow up with more application components.
As to logistics: we cover room, board, and, if you need it, airfare, but no other stipend.
Looking forward to hearing from you,
Anna
ETA (as of 3/25/10): We are still accepting applications, for summer and in general. Also, you may wish to check out http://www.singinst.org/grants/challenge#grantproposals for a list of some current projects.