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Comment · 9 years ago
If you're talking about human-level intelligence, I think you're on to something. Old-fashioned AI was probably closer to the right track than we are now.

> did attempts to generalize some of that research fail because the approach was fundamentally flawed, or was it because such efforts themselves weren't as good as initial projects?

In many cases there haven't _been_ attempts to follow up on that early work. It's more like the zeitgeist just shifted to other things. For example, SHRDLU was just a couple years before the first AI winter, and when spring came (~1980) people had largely moved on. (Which isn't to say there weren't also flaws with the approach.)

Comment · 9 years ago
Comment · 9 years ago
Not the GP, but some examples are: (1) how do you get a computer to have a human-like train of thought? (2) how do you get a computer to acquire new concepts (e.g. "debt", "global warming", "weed") and then reason about them correctly, without any reprogramming? (3) automated acquisition of common sense through experience (e.g. "if you pour water on the floor you will get a puddle") (4) deep natural language understanding (i.e. how do you make a chatbot that really understands, and isn't just a thin illusion of understanding).
Comment · 9 years ago
Totally agree with you. You might be interested in basicai.org. We're trying to address those big fundamental problems you reference.
Comment · 9 years ago
None of the problems you mention is actually solved though. They're all things that work sort of, some of the time, with caveats about how you define "work." They work well enough to be useful, but not well enough to argue we're converging on human-level intelligence.
Comment · 9 years ago
Yes and no. For safety of narrow AI systems, yeah, there's a lot of scope for research, and that's what your first link gets at.

But for AGI (which is what Tegmark talks about), there's no good way to get a handle on safety yet (other than working towards figuring out AGI).

As for MIRI's agenda, I don't buy that it will help with AGI safety at all. There are a variety of reasons for that, some of which are discussed in the piece I linked above.

Comment · 9 years ago
Comment · 9 years ago
An interesting read, but the conclusion that "the singularity is nowhere near" was reached by assuming that only neural modeling could get us there, and that assumption wasn't defended well. (In fact it looks rather dubious, given all the quasi-intelligent things computers have achieved without copying neural dynamics.)
Comment · 9 years ago
Comment · 9 years ago
Great quote from Hinton.

The biggest deficiency in AI is that we still don't have artificial systems which simulate human thought with any fidelity. Sooner or later that's bound to become a focus of attention.

Comment · 9 years ago
Comment · 9 years ago
Comment · 16 years ago
Comment · 16 years ago
My impression is that time banks are local. Is there some sort of central website you can use for time banking? Besides that, Goodwillbank is set up for exchanging time in ratios other than 1:1.

What went wrong with your barter system? Is it online?

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