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Strong AI and the Imminent Revolution In Robotics

An anonymous reader writes "Google director of research Peter Norvig and AI pioneer Judea Pearl give their view on the prospects of developing a strong AI and how progress in the field is about to usher in a new age of household robotics to rival the explosion of home computing in the 1980s. Norvig says, 'In terms of robotics we’re probably where the world of PCs were in the early 1970s, where you could buy a PC kit and if you were an enthusiast you could have a lot of fun with that. But it wasn’t a worthwhile investment for the average person. There wasn’t enough you could do that was useful. Within a decade that changed, your grandmother needed word processing or email and we rapidly went from a very small number of hobbyists to pervasive technology throughout society in one or two decades. I expect a similar sort of timescale for robotic technology to take off, starting roughly now.' Pearl thinks that once breakthroughs are made in handling uncertainty, AIs will quickly gain 'a far greater understanding of context, for instance providing with the next generation of virtual assistants with the ability to recognise speech in noisy environments and to understand how the position of a phrase in a sentence can change its meaning.'"

25 of 242 comments (clear)

  1. Howdy doodly doo! by Mr2cents · · Score: 4, Funny

    Does anyone want any toast?

    --
    "It's too bad that stupidity isn't painful." - Anton LaVey
    1. Re:Howdy doodly doo! by Mr2cents · · Score: 3, Funny

      This is very, very embarrassing, slashdot. Not even recognising a Red Dwarf reference... sigh, slashdot is really going downhill.

      --
      "It's too bad that stupidity isn't painful." - Anton LaVey
  2. but handling uncertainty isn't easy by rmstar · · Score: 4, Insightful

    Pearl thinks that once breakthroughs are made in handling uncertainty, AIs will quickly gain 'a far greater understanding of context, for instance providing with the next generation of virtual assistants with the ability to recognise speech in noisy environments and to understand how the position of a phrase in a sentence can change its meaning.

    Oh, of course. But pretending that these "breakthroughs in handling uncertainty" are just a minor stumbling block is somewhat silly. These are some of the hardest problems in maths right now, and there are no easy solutions on the horizon.

    1. Re:but handling uncertainty isn't easy by dhart · · Score: 3, Interesting

      Indeed there are no easy solutions, but there's plenty of mathematical work going on to better handle uncertainty. For example, OpenCog's Probabilistic Logic Networks. From http://wiki.opencog.org/w/Probabilistic_Logic_Networks "PLN is a novel conceptual, mathematical and computational approach to uncertain inference. In order to carry out effective reasoning in real-world circumstances, AI software must robustly handle uncertainty."

    2. Re:but handling uncertainty isn't easy by aaaaaaargh! · · Score: 5, Insightful

      Mod parent up.

      I'm working in that field and know Pearl's work very well. The problem with uncertainty and current framework is the complexity. Probability theory, possibility measures, ranking theory, plausibility measures, Dempster-Shafer and all these slight variations of the same theme are altogether computationally intractable. Strongly heuristic shortcuts based on implausible assumptions are used (like stipulating independence between random variables for purely technical reasons), and much better ones need to be developed. Human cognition takes amazing shortcuts and AI methods are much too combinatorial in contrast to that.

      Moreover, the problem of knowledge representation is still not solved adequately. Yes, there are a few large ontologies like Cyc, but they do not suffice. Basically, a lot of tools are there, but they are disconnected and there is no unifying framework or representation at all. To give you an example from NLP, the kind of tools used by computer scientists (e.g. description logic, event calculus) are practically worthless for doing real-world semantics, and of course logic has the same combinatorial complexity issues.

      Breakthroughs will come by combining symbolic AI with connectionist and geometric representations, but only few people work on that (e.g. Smolensky), the math is complicated and not what your average AI/CS guy or computational linguist can handle.

      I think what Norvig should have said is that robots with convincible, but ultimately non-intelligent soft AI will enter the consumer market within the next few decades - which is true, but something else entirely.

    3. Re:but handling uncertainty isn't easy by rasmusbr · · Score: 3, Interesting

      Engineers and mathematicians have developed partial solutions to the sensing and data extraction problems over the last 10-15 years, so things look good in terms of rate of development. It doesn't mean that there will be a robot than can perform task X by 2022, but it does mean that robots of 2022 will be able to perform a number of tasks that today's robots aren't able to perform.

      My gut feeling is that by 2022 there will be experimental robots that will do about half of all household work poorly, but they will be the price of a luxury car and they will cause more trouble than they solve. I'm more optimistic about guide robots as a gimmick to impress and entertain visitors in places like museums, theme parks and corporate headquarters. All they have to do is navigate without crashing into anything (a largely solved problem) and say scripted things at certain instances (a compeltely solved problem) and respond with facts to verbal questions (another largely solved problem).

  3. Because someone has to say it... by Schmorgluck · · Score: 4, Funny

    I, for one, welcome our new robotic overlords.

    --
    There's nothing like $HOME
  4. They solved the frame problem? by darhand · · Score: 5, Funny

    I think not... It's not even mentioned in the article See http://en.wikipedia.org/wiki/Frame_problem or an illustation: "The philosopher Daniel Dennett asks us to imagine a robot designed to fetch a spare battery from a room that also contained a time bomb. Version 1 saw that the battery was on a wagon and that if it pulled the wagon out of the room, the battery would come with it. Unfortunately, the bomb was also on the wagon, and the robot failed to deduce that pulling the wagon out brought the bomb out, too. Version 2 was programmed to consider all the side effects of its actions. It had just finished computing that pulling the wagon would not change the color of the room's walls and was proving that the wheels would turn more revolutions than there are wheels on the wagon, when the bomb went off. Version 3 was programmed to distinguish between relevant implications and irrelevant ones. It sat there cranking out millions of implications and putting all the relevant ones on a list of facts to consider and all the irrelevant ones on a list of facts to ignore, as the bomb ticked away."

  5. Re:How long will it be by NettiWelho · · Score: 3, Insightful

    Personally, I'm more concerned about whetever we get space communism or resource contentration at the hands of 0.01% after 99.9% of the workforce getting laid off due to machines doing everything better for cheaper.

  6. Content free... by fitteschleiker · · Score: 4, Funny

    Pointless, content free article, where some guys say some opinions about some stuff. Where the fuck is my picks-up-my-clothes-washes-them-and-dries-them-and-folds-them-and-puts-them-away robot?

    Huh? huh?

    Can someone get moving on this shit? I can't afford a fucking human servant! And I'm too fucking lazy for this shit!
    Here take my money!

  7. Getting real with AI by Max_W · · Score: 4, Insightful

    My new automatic washing machine is an extremely useful robot, even though it does not have legs or hands.

    There is only embedded intelligence. A pure intelligence does not even exist and cannot exist.

    Why built an AI, which drives a car, if it is quite possible to build an underground transportation network and automate it with AI. This robust technology already exists.

    It is easier to send an AI robot to another planet than to a local supermarket. And the problems are not mathematical, but social. The AI is already here and it is bigger than the current society's setup. The social setup and the infrastructure of society are to be changed in order to use it.

    1. Re:Getting real with AI by Max_W · · Score: 3, Interesting

      Nobody is capable drive a car well on existing roads. Even humans. About 1 500 000 humans are killed each year trying to do it. Times more wounded. The road system is that stupid. No wonder as it was created by Romans more than 2000 years back.

      On the other hand, the technology for underground delivery and transportation networks does exist. It would be expensive to build? So what? Let us pay.

      Such a system would not only be able to use AI, it will be AI in itself, an embedded intelligence. Besides, from ecological point of view it would be at least 10 - 100 times more safe.

    2. Re:Getting real with AI by Ostracus · · Score: 4, Insightful

      So in plain English instead of making an AI more capable of dealing with greater complexity (like say animals), you artificially constrain the problem set till you get something that present systems (don't need to be AI) can handle then?

      --
      Shai Schticks:"You don't make peace with friends, you make peace with enemies"
  8. Re:How long will it be by c0lo · · Score: 4, Insightful

    Personally, I'm more concerned about whetever we get space communism or resource contentration at the hands of 0.01% after 99.9% of the workforce getting laid off due to machines doing everything better for cheaper.

    With nobody buying (being sacked, can't afford), what's the point of producing? Everything would be relatively too expensive no matter how absolutely cheap.

    --
    Questions raise, answers kill. Raise questions to stay alive.
  9. Re:unintended consequences by c0lo · · Score: 5, Interesting

    Weren't we all supposed to be enjoying 5 months of vacation by now....

    Well, we are, even more that 5 moths. Except.. it is called unemployement.

    by that measure the advancement of robotics probably won't benefit human lifestyle either. Somehow we'll all end up as slaves to the machines.. if we aren't already!

    Slave yes.. not to the machines, but to the banks... and, quite frequent, this include the machines/robots owners.

    --
    Questions raise, answers kill. Raise questions to stay alive.
  10. They solved the failure problem? by Ostracus · · Score: 4, Interesting

    And humans have never failed the frame problem? It seems to me in our quest for strong AI, we're setting the bar higher than ourselves. We fail too and yet we're the metric by which strong AI will be judged.

    --
    Shai Schticks:"You don't make peace with friends, you make peace with enemies"
  11. Re:How long will it be by TheRaven64 · · Score: 4, Interesting

    This is a problem that has hit a number of slave-owning societies and is currently a problem for China. An imbalance between production and consumption is unsustainable, irrespective of the direction. It was also one of the causes of the US civil war: the south was production-heavy, which was making it hard for workers in the north to compete with cheap imports, which the south needed to keep supplying because they didn't have a large enough local consumer base.

    --
    I am TheRaven on Soylent News
  12. Re:unintended consequences by TheRaven64 · · Score: 5, Insightful

    Weren't we all supposed to be enjoying 5 months of vacation by now.

    Most people who post on Slashdot probably can, as long as you're willing to accept a lower income than you would if you worked full time. I did for several years. I made enough to live comfortably, but not extravagantly, and had a very high quality of living. I'm now 'working' full time back in academia, because now I get paid to work on things I was doing as a hobby before. The standard of living for someone with the same inflation-adjusted income as me now is far higher than when my parents were my age.

    by that measure the advancement of robotics probably won't benefit human lifestyle either

    Really? I suggest that you try living in a house that contains no technology developed in the last 100 years for a while if you honestly think that...

    --
    I am TheRaven on Soylent News
  13. Ridiculous by llZENll · · Score: 3, Insightful

    Comparing anything from 40 years ago to today is ridiculous. Nearly everything in history was FAR easier for one man to understand than it is today, in the past you could be an expert on any one thing, today that is nearly impossible, today teams of hundreds of people push to make incremental changes and will never make extreme breakthroughs required by a single overall view. Anyone who has such a view (at the top of management or a team) doesn't have the expertise to make the breakthrough, and anyone with the expertise doesn't have the view. We are not infinitely capable of understanding things, we are limited in scope and more importantly time. Look at the past, in the 1800's and early 1900's single men were the greatest inventors of the their time, during the mid 20th century it was small teams, now giant corporations are the only ones making any significant difference. We have reached a saturation point of human ability and understanding, where anyone has so much past human experience and knowledge around them they cannot possibly even come close to learning it all, let alone extending any of it, only well funded teams can do it now.

    There will be no clear breakthrough or strong AI 'invented', it will be a never ending series of small incremental advances that is so slow and happens over such a long time that we will not even notice, the exact same thing as the personal computing era. To look back to the 70s now it is a foreign idea, but at any point in time it was only a small advancement from the day before.

    1. Re:Ridiculous by Kergan · · Score: 3, Interesting

      I disagree wholeheartedly with most of what you wrote.

      The thing you get right is that it no longer is possible to know every fact about everything. The last known person to have done so was Pic de la Morandière and that was over 150 years ago.

      With respect to fields involving increasing specialized knowledge nowadays, however, I simply beg to differ. The real issue is an inflation of know-how that adds little if anything to the pool of relevant knowledge. It occurs because, for all of history since the ancient Greeks including today, there have always been more scientists alive in any given year than there have been in recorded history. Chew on this fact for a moment, and consider how to train their higher level peers, we require them to come up with an original research thesis.

      Most published work and research are simply rehashing obvious consequences of things long known. Rare indeed, is the study that pops out because it identifies an edge case where the results contradict what is expected. Recall, as an example, the study that suggested neutrinos might go faster than light. Physicists the world over instantly heard of it. Subsequent refinements eventually debunked the initial results as a measurement error. Sum of additional knowledge? Big fat zero: nothing goes faster than light. The same, boring and century old theory of relativity.

      It's not all bad, mind you: something interesting occasionally does comes out of this farce. For instance, a study on how an erection works can lead to insights in how to engineer structures. This makes the whole process tolerable and, in a sense, interesting for the curious.

      To argue that every little fact counts, however, is lunacy. You need to discriminate, synthesize, retain key elements, and off you go. You're a specialist. And to hell with the bozo who is so neck deep studying eye retina that he forgets it is a brain outlet. He has nothing interesting to tell you beyond implementation details.

      Now, I've absolutely no clue whether the next 10 years will yield a strong AI. I haven't followed AI in a while, preferring good old history. I do know two things, however. Firstly, that a strong AI is around the corner since about 1950. Secondly, that mathematicians stormed the field of cognitive science and linguistics roughly 20 years ago, ignoring the established quacks such as Chomsky and turning the field upside down. Fast forward 10 years, and we were training robots to train other robots to do tasks. This was inconceivable 10 years earlier. Who knows... Not you, nor I.

  14. Re:How long will it be by Intrepid+imaginaut · · Score: 4, Interesting

    Of course, AI robots by themselves do not solve the problem of resource scarcity.

    Asteroids do.

    And people will continue to grow exponentially

    Don't worry, they don't and aren't.

    so on a fixed earth, you'll always reach a point where not everybody gets a basic standard of living.

    Its quite doable. And if you look at population trends in societies nearing post scarcity status, like Western Europe, it becomes clear that the best way to head off any such hypothesised difficulties is to provide a decent standard of living to as many people as possible as quickly as possible.

  15. Strong AI, like fusion, is always 10-20 years away by bfwebster · · Score: 3, Informative

    I took (and thoroughly enjoyed) a graduate AI class while an undergrad CS student back in the 1970s; had I completed my subsequent master's degree, I almost certainly would have done a thesis on some subject in AI (as it was, I did take a graduate class in advanced pattern recognition). I still have a entire shelf of (largely outdated) AI textbooks from that era.

    That said, it's hard to find another field within computer science that has been so consistently wrong in its predictions of when 'breakthroughs' will occur. Some of the AI pioneers back in the 1950s thought we were only 10-20 years away from meaningful AI. Here were are, 60 years later, and we're still 10-20 years away. The field has made tremendous strides, but they tend to be in relatively narrow domains or applications. Generalized, all-purpose, adaptable intelligence is hard. We may yet achieve it, so something close enough to it so as to be sufficient, but I don't think it's going to happen in 10 years.

    Maybe the first true AI will run the first true large-scale fusion power plant. :-) ..bruce..

    --
    Bruce F. Webster (brucefwebster.com)
  16. Re:How long will it be by Anonymous Coward · · Score: 4, Informative

    ...What.

    You think the South in the 1850s was some hive of industry selling all manner of goods to the North?

    The South was agrarian (cotton and tobacco and stuff - you know, plantations, as in every depiction of the Old South ever, not factories) which it mostly sold abroad, not to the North. The North was where all the factory production was, which is why it was able to outproduce the South in things like artillery and rifles when the war started. Seriously, at least open a history textbook before randomly making up stuff like this.

  17. Re:Ray Kurzweil by Missing.Matter · · Score: 3, Interesting

    It's hard to say which one is correct. Look how far we've come in the last 50 years.We went from computers the size of a room, to computers on every desktop to computers in every pocket. Technological capabilities definitely are increasing at an exponential rate, and the capabilities of robots are closely correlated with these developments. 50 years ago the best robots relied on sonar, then with the development of LIDAR they became several orders of magnitude more accurate. The invention of GPS also took place in the last 50 years, along with MEMS technology for tiny inertial measurement systems embedded in practically every robot today. Even the proliferation of the Microsoft Kinect represents a similar leap forward in widespread technological capacity of robots.

    So you see, with each technological innovation, the capabilities of robots don't increment slightly; they jump to a new height altogether. I don't know if anything like a "sigularity" will happen in the next 50 years, but I suspect the difference capabilities of robots from 2012 to 2062 will be much greater than the difference between robots in 2012 and 1962.

    Disclaimer: I am also someone working to implement "the singularity"

  18. Robotics is getting there. Money works now. by Animats · · Score: 4, Interesting

    Robots are starting to work in unstructured situations. I was there at the moment when this was recognized - the 2005 DARPA Grand Challenge at the California Motor Speedway in Fontana, CA. That's when everything changed.

    The 2004 Grand Challenge, remember, was a pathetic joke. No vehicle got further than 7 miles, and that was CMU's. The CMU approach at the time wasn't even really autonomous. Entrants got the route on a CD an hour or so before the start. CMU had imagery of the whole area and tried to plan obstacle avoidance manually just before the start, using a huge team of people in a semitrailer full of workstations. Didn't work; the DoD people in charge had moved some obstacles during the night. And that was the best result. One vehicle came out of the gate, turned hard, and ran back into the starting gate. One flipped over. The big Oskosh entry demolished a SUV parked as an obstacle to be avoided. The whole thing was embarrassing.

    DARPA was very displeased with the performance by the universities that had long been receiving DARPA funding for robotics. It was quietly made clear to some major CS departments that their performance had to improve or funding would be cut off. That's why entire CS departments were suddenly devoted to the DARPA Grand Challenge in 2005.

    In 2005, things were completely different. Everybody who got that far had already been through an elimination, and every vehicle at the 2005 challenge was better than any of the 2004 entries. There was considerable press coverage, and at first, the press treated it as a joke. But suddenly there were over 20 vehicles running around autonomously, and they weren't crashing into stuff. When multiple vehicles finished the course, it was viewed as a triumph.

    Finally, the state of the art had reached the point that money and determination would get problems solved. That wasn't true in the 1980s. NASA threw over $100 million at the Flight Telerobotic Servicer project, and got nothing that worked.

    Now check out the DARPA Humanoid Challenge. (There's much dreck about this on blogs and in the popular press. Read the DARPA announcement instead.) They have an approach that's likely to work, and demand simulated demos (in their simulator) in 9 months, with demos on real hardware in 18 months. I personally think they'll get something able to do most of the mobility tasks and some of the manipulation tasks in that time. Useful humanoid robots will be a lot closer in two years.

    Price will still be a problem. But not an unsolveable one. These things could be brought down to the price of an SUV, if not lower, through production economies alone. The parts count is probably lower than that for an SUV.