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The problem with AI is that people try to call simple heuristics and learning algorithms AI, while what we're actually seeing is an overglorified Eliza. The te
by enki 17y ago
The problem with AI is that people try to call simple heuristics and learning algorithms AI, while what we're actually seeing is an overglorified Eliza.
The term Intelligence sets the expectation of "universal learning", not just solving problems we previously thought to be hard. And the research necessary to accomplish that, probably isn't even in the same direction as these fraud AI algorithms. The Biological Computer Laboratory (which died because AI took all the funding) under Foerster probably had a better shot at solving these problems than the AI Lab under Minsky ever had.
This overselling soaked up the funding with empty promises and killed more basic longterm research. Lets hope serious researchers find a way to get their research funded again, despite the AI shills.
- naveensundar 17y agoThere has been some research in formal and universal models of AI. See below for an example. Universal AI: http://www.hutter1.net/ai/uaibook.htm http://www.hutter1.net/ai/uaibook.htm
- Confusion 17y agoIt isn't actually clear whether intelligence is anything other than some emergent phenomenon of suitable connected 'simple heuristics' and 'learning algorithms'. If you as me, we also are overglorified Eliza's.
- tomjen2 17y agoThere is one big difference: we can reason about reason (meta reason), Eliza can't. It is not a difference in degree, it is a difference in kind and seems to be unique to higher primates (you can learn a dog to do tricks, but it won't spend its time coming up with new tricks), one of the most interesting science videos I have ever seen is one where a bonobo learns to write a symbol that had been on a computer it used to express its emotions.
- amix 17y agoYour statement about dogs is untrue. Dogs, and a lot of other animals, have the ability to think creatively, i.e. to come up with new stuff, new tricks. A lot of animals also have self-awareness* (e.g. dolphins, elephants, magpies). Of course, we as humans excel at the task of thinking, since it's one of our greatest advantages, but the task of thinking and being self-aware is found in other animals, so there must be a way of reproducing this. What spawns creative thinking and self-awareness is of course a mystery, but I think it's a consequence of creating a complex enough system and creating a system that's built on ordered chaos. * http://en.wikipedia.org/wiki/Self-awareness#Self-awareness_in_animals http://en.wikipedia.org/wiki/Self-awareness#Self-awareness_i...
- ericwaller 17y agoThat difference in kind is probably an illusion created by the magnitude of the difference in degree. From what I've gathered, the consensus, both in neuroscience and in philosophy of the mind, is that consciousness is totally emergent from the "simple" building blocks; there's no specific component unique to higher primates that explains the difference.
- jcl 17y agoWe like to think we can reason about reason, but to some extent we are simply regurgitating prior knowledge, or trying some random combination of old concepts and getting lucky. If this were not the case, we wouldn't have had to wait until the 1900s for Godel's theorem -- we would each discover it independently during childhood. Godel was standing on the shoulders of giants, just as we are when we use his work, or set theory, or mathematical notation, or rules of logic, or language. In a way, our intelligence is the byproduct of a stochastic program that has been running for thousands of years consuming billions of terabytes of memory. It seems rather cruel to expect Eliza to match us under her more limited conditions. And it is a difference in degree. A dog frequently comes up with new, previously unseen behavior -- burying certain objects, shredding toilet paper, etc. The problem is that most behaviors are not seen as useful by humans, hence they go unrewarded as "tricks". But there are also examples of dogs learning useful behavior on their own, from learning to bark something that sounds like "I love you", to learning to knock down an owner who is about to have a seizure, to learning to fetch the leash when it wants a walk. Defining "intelligence" as "doing something that humans can do that animals and computers can't" seems somewhat self-centered (although I admittedly cannot think of a better one off the top of my head).
- scott_s 17y agoEvidence Points To Conscious 'Metacognition' In Some Nonhuman Animals: http://news.ycombinator.com/item?id=830430 http://news.ycombinator.com/item?id=830430
- prodigal_erik 17y agoHow do you feel about we also are overglorified Eliza's? (Sorry, couldn't resist.)
- dejb 17y ago> This overselling soaked up the funding with empty promises and killed more basic longterm research. Lets hope serious researchers find a way to get their research funded again, despite the AI shills. I think this is uncalled for. What makes those who worked on some of these AI problems any different from the founders of an unsuccessful startup? Both have a belief that a particular idea/plan will work and both seek to convince others to join/fund them. Nobody really knew that many AI problems would be so tough. The people who worked on them expected success. Only through their failures did we know for sure that the problems where a lot harder than we thought.
- enki 17y agoi agree it was worth a shot, but it's still a shame they took away the funding from people with more promising approaches and stigmatized the field for decades.