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April 15, 2009 4:00 AM PDT

Q&A: iRobot taps into its Warrior spirit

by Jonathan Skillings
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Corrections were made to this interview. See below for details.

The PackBot robot has made a name for itself in dangerous places like Iraq, but the future may belong to both its bigger and smaller siblings.

U.S. military forces have long made use of the PackBot to discover and disarm roadside bombs, keeping flesh-and-blood soldiers out of harm's way. Now its maker, iRobot, is looking to make inroads with two variations on the design.

iRobot CEO Colin Angle

iRobot CEO Colin Angle

(Credit: Jonathan Skillings/CNET)

The SUGV (short for small unmanned ground vehicle) may be one of the technologies that emerges in good shape from the Army's massively expensive Future Combat Systems program, which seems likely to be significantly deflated as the Pentagon shapes its budget for the coming year. Lighter and thus more portable than the PackBot, it seems in good position to be spun out from FCS evaluation teams to other units.

Meanwhile, iRobot is beta-testing the much larger Warrior, which will be capable of carrying bigger payloads. As upbeat as folks at the company are about the PackBot and the SUGV, iRobot CEO Colin Angle describes the Warrior with unabashed enthusiasm: "That robot is going to change the world, and change the perception of what practical robots are all about. We're pretty passionate about that."

The Bedford, Mass., company has its more domestic side, of course. Where it's sold 2,000-plus PackBots worldwide, it has sold more than 3 million of its Roomba floor-cleaning robots. It's got a range of household bots, from the gutter-scouring Looj to the pool-scrubbing Verro.

Angle met with CNET News on Monday at the company's headquarters, ahead of this week's RoboBusiness conference in Boston, to talk about how iRobot--which had $307 million in sales in 2008--is weathering the recession, how robots are changing battlefield habits, and why iRobot isn't building a humanoid bot.

How is the recession affecting iRobot?
Angle: There's no doubt the recession is having an impact. We first started to see the impact of the recession in October of last year, so we were able to say, OK, the rules have changed on consumer spending, and we were able to adjust our guidance for 2009. So we hopefully have done the right thing, but domestic sales certainly are negatively impacted.

The good news is that internationally our sales remain very, very strong. And perhaps because we were operating off a relatively small base, relative to the potential opportunity, we continued some momentum. So the guidance that we were able to give year to year had domestic down and international up on the home side. And then on the military side we had a different set of non-economy-related factors slowing down growth temporarily.

With the international growth, how widely dispersed around the globe is that? How many countries are you selling into for both (home) and military?
Angle: On the home side, we are relatively broadly distributed throughout Europe, Korea, Japan, Australia, most major developed markets we're in at this point. On the military side, we have sold, we have presences in about (13) countries, so we continue to build on all fronts. It is a fairly significant number. The utility of these types of robots, in particular the PackBot, has been recognized globally.

There is always going to be, at least for a long time to come, a human in the loop, as far as trying to decide when a robot should employ lethal force. You know, AI is not to the point where a machine should be making a life-or-death decision, and I wouldn't even be able to tell you when I thought that might actually come to pass.

The PackBot seems to be a very flexible platform, there are a lot of different things that have been put onto it--IED detection, sniper detection--no weapons so far...
Angle: True. You know, it is a platform, and explicitly designed to be one, with common interfaces. We have the Aware 2.0 robot intelligence system, or software platform that has open APIs so that third parties can develop different payloads for the robot. We have a developer conference every year; last year over 80 companies attended to learn how to build and interface their products to our platform.

And the PackBot is, right now, the most numerically successful, plus the oldest platform. We have two new platforms that are starting to come online -- the SUGV, the small unmanned ground vehicle, which is a 30-, 35-pound platform. At 50-60 pounds, you have the PackBot, and then at 250 pounds, 300 pounds, you've got the Warrior, which is the larger size that is now going into beta testing and starting to get into the combat exercises to look at how it can effectively be deployed.

The vision is, iRobot will be the central point of portable ground robots, and depending on how big a thing you want to put on the robot, you'll work with us to deliver that capability, deliver it to the soldiers. The more these products are used, the more soldiers say, here's an opportunity to perform a mission more safely, to perform a mission more quickly. We'll see a lot more missions starting to be taken on.

The PackBot's not the only robot platform that size that the U.S. government uses. There's the Talon from Foster-Miller.
Angle: The Talon is heavier than the PackBot, so that's fine if you're getting to where you need to use it in a vehicle, but as soon as you start having to carry it, it's less so. Both the PackBot and the Talon are used extensively for this roadside bomb threat in Iraq.

I know from what I've read that the soldiers are very happy to have those devices.
Angle: You can imagine, because -- if you're in Iraq and there's a bomb over there and you know there's some way of detonating the bomb, you haven't quite figured it out and someone may be watching, and his entire goal is to explode it at a time when it can do the most damage to you, and your job is to defuse it, that's just a bad situation. This is giving a new lease on life to these guys. I've spoken to many of them and they all credit their own lives with our nation's ability to procure and build these types of systems. It's a godsend.

And now we're starting to see with the SUGV, and the robot's getting into the hands not just of the explosive ordinance disposal guys but the regular infantry, whose missions include things like, go clear that building. And many times of day as you're trying to clear building after building, you're faced with, OK, there might be something bad beyond this door. I can throw a grenade in and maybe kill someone, an innocent person, or I can jump in the door and get shot. Wouldn't it be nice to have the better option to have the robot go in first and evaluate what's going on, and improve the outcome?

The proposed DOD budget looks like it's favorable to things like the SUGV. From what I've seen, the Future Combat Systems--a lot of that probably will fall away, the bigger vehicles, the common chassis. But Secretary Gates and others seem to want to have more of the robots.
Angle: Well, this is something that's far from played out, but certainly from what has been said, the SpinOut 1 technologies, in particular the robots, have a place and could come out of the (budget) actions, in fact, enhanced, and find more resources associated with them. Anytime there's change, there's risk. But from what's being said, and the type of combat the United States finds itself in these days, the robots are on the rise as far as being an important part of the new enabled technology to keep our soldiers with that advantage.

Some people, including (author) P.W. Singer, have raised the issue of battlefield ethics, the laws of war, and how robots might change that. How do you see the use of robots reshaping combat?
Angle: There is always going to be, at least for a long time to come, a human in the loop, as far as trying to decide when a robot should employ lethal force. You know, AI is not to the point where a machine should be making a life-or-death decision, and I wouldn't even be able to tell you when I thought that might actually come to pass.

But what a robot does give a soldier is the ability to shoot second--which is, again, incredibly empowering and important. Let the robot be the thing on the point, let someone attack it, and by doing so reveal his position and reveal the intent of what they're doing there. This is a big, big concept--robots let the soldiers shoot second. Additionally, a robot can carry nonlethal technologies, where a soldier is much, much less willing to do so. If a bad guy's over there with an AK-47, I want my M-16, I want my machine gun.

(Robot technology) is something that you need to be very careful of. It also offers some of the best hope for humanely dealing with this new type of bad guy that we're faced with.

And the old types, too.
Angle: The old types, too. But we're not going to have tank battles in the fields of Eastern Europe where everybody lines up and you know what side everyone's on. That's just not going to happen anymore. So we find ourselves in a situation where it's much more difficult just to understand what you're supposed to do, much less do it, and that requires either a lot more soldiers, in which case we're putting a lot more American lives at risk, or some kind of new technology can go in and serve the function that those soldiers served. And that's where, I believe, robots come in.

It seems to me, too, that popular perception gets ahead of itself in thinking about robots which, in movies, are very autonomous. Most of the robots that are used in battlefields--the PackBot, the Predator--they're still mostly, if not entirely, remote-controlled. Somebody is still driving that machine, and it's not working on its own.
Angle: There's a man in the loop, and even if you could tell the robot with the GPS, go that way, there would still need to be a person in the loop to decide what to do once the robot got there. There's going to be more capabilities built into the robot, so that a soldier doesn't have to his head down looking at a video screen all the time while someone sneaks around and can mess with him, and in that way we'll allow robots to be more effective. But there needs to be a person in the loop, because AI is just not that good.

People don't understand that before we have a robot human, people are going to be doing things like incorporating robot technology into their own bodies.

Hollywood loves to portray the Terminator, or loves to say, here's the future, and have the little boy knock on the door and "Hello, I'm a robot." It's just not going to happen. Maybe one day, but by the time that happens, the world is going to be a far weirder place. But people don't understand that before we have a robot human, people are going to be doing things like incorporating robot technology into their own bodies. And the ethical challenge for the field of robotics is going to be answering questions around what happens when you can have a neural interface to the future of the Wikipedia, and so if you have this capability (built into your body), which probably would cost money to do, you'd have a huge advantage over someone who didn't--now there's an ethical question.

Right. It's sort of, cheat notes writ large.
Angle: Right. Everyone unplug their neural implant before they take the test. Right now there's medical procedures to help the deaf with cochlear implants, and there's some artificial eyes that are starting to allow blind people to see some amount of image, differences between light and dark, and it's getting better all the time. But what happens when that becomes elective surgery? Do you want to have an iPod embedded in your ear? Do you want to have your computer screen--you know, remove a good eye and put in something else? I mean, these questions are going to be fascinating and causing us to really dig deep as to what is right and wrong, far before we have to worry about true, artificially intelligent robots beating us on the battlefield or in society.

And both those (scenarios) are a long way off--robots powered by very smart AI, and humans having reached some sort of cyborg threshold.
Angle: Well, I think that the second is far sooner than the first. We are already doing surgery where we're implanting machinery into our bodies. Dean Kamen has developed a fantastically successful prosthesis, with a neural interface. They've figured how to attach it to your nerve bundles so you can think and the robot's arm can move with very little training. I mean, you talk about what's going to happen sooner, well, we're already seeing some of these cyborg-esque futures becoming more and more real. I think it's going to be a fascinating place, but I think that the typical concerns about what happens when you weaponize robots and what happens when we have robot people hanging out amongst us are kind of the easy but wrong questions.

On the home front, the Roomba is still the center of focus for iRobot?
Angle: The Roomba is certainly the largest revenue driver at this point. It has a head start, it was the first thing that we did, and while the brand iRobot entrusts that the products we make are truly practical--they're not gimmicks and actually work-- that helps the subsequent products come up quicker. The Roomba still has a relatively tiny penetration--we've sold over 3 million of these robots. It sounds like a big number, and it is, but compared to the number of households in America, it's a tiny number.

Our users are very passionate about the product, they tell their friends and so forth. We'll continue to see, just driven by our installed base, more people, more success, driving more Roomba sales, and then with sales of the other products moving along nicely, but still in the shadow.

We keep at it. We're not done. The mission of the division is to keep working at robots that will help tackle the dull, the dirty, and the dangerous--the routine maintenance tasks that we're faced with, and once we're done with that, trying to turn our focus to the people who live in the homes and with this notion of helping people live more easily, more independently. It's early days. You know, we can vacuum. We can vacuum well, and scrubbing is coming along and so forth. But there's so much more a robot could do as far as helping you come home to a house that is exactly the way you want it, with no need for you to go and do these maintenance types of tasks.

What would be the next thing to tackle?
Angle: Well, we don't actually talk about what we're doing next. It's sort of, in the future here's the body of things.

Still no lawn mower.
Angle: There's the lawn mower, there's cooking, there's windows, there's more stuff going on in the bathroom with your tub, and doing laundry, folding laundry, putting stuff away. Once we get manipulation on the robots at consumer price points, those are all very real, very doable sorts of things. Shoveling the driveway.

What about areas like robotic surgery, robots for NASA, something farther afield like that?
Angle: I think that robots for surgery is a great application for robotics. The Da Vinci system from Intuitive Surgical has really shown that robots can augment regular doctors, not just for tele-surgery, but in the same room, give that doctor more arms and do more precise movements. This is fantastic. It's not an iRobot area of expertise but it's certainly a real driver for the industry.

Industrial cleaning is going to be an industry robots take by storm once the right product comes along. The exploration of the solar system has already largely been given over to robots to take on--the Spirit and Opportunity on Mars, the probes we keep sending out. These are demonstrating that if--ultimately you're going to want to send people because it's more fun and interesting to go start a colony on Mars. But the prep work in making it viable and feasible to know what to do, that's the work of robots.

Why would you want to make a humanoid robot? I mean, I guess for making movies they're good. If you want to have a robot companion, maybe it should be humanoid. But other than that, most tasks are best tackled by designs that are not constrained by trying to look like a person.

What about a humanoid robot?
Angle: Why would you want to make a humanoid robot? I mean, I guess for making movies they're good. If you want to have a robot companion, maybe it should be humanoid. But other than that, most tasks are best tackled by designs that are not constrained by trying to look like a person. I mean, balance and walking are incredibly hard things to do. If you look at some of the Japanese walking robots, because they're very focused on solving this problem, and then compare it to Warrior, our large, dual-track system, and say, OK, which one makes more sense?

The Asimo (from Honda) requires a team of 10 or 15 people to maintain it, it can walk about, maybe, half a meter per second and in some situations climb stairs over the course of a few minutes, and if it ever falls down, it's a paperweight. I think it has something like 40 or 50 motors in order to make it work. Then take the Warrior, and the Warrior can take a 10-foot drop onto concrete, drive (10 miles an hour), drive up stairs without stopping at full speed, carry (150 pounds) of payload and has, maybe, five motors. So it's stronger, it's faster, it's more durable, it has more efficiency, and it can go nearly everywhere a human can. So you look at these things and say, which one of these is a robot human? The answer is, Warrior. Warrior is designed to operate in environments that we have designed for ourselves, as efficiently and capably...

Roadways, buildings...
Angle: Right, so if a person can do it, chances are Warrior can do it. And we're developing arms and all sorts of payloads to allow it to take on some of the most dangerous tasks that we currently are forced to give to ourselves to perform. That robot is going to change the world, and change the perception of what practical robots are all about. We're pretty passionate about that.

Obviously there's a lot of in-house R&D that you guys do. But where do you look for new ideas--there are a lot of robotics labs, Carnegie Mellon, MIT, other places.
Angle: You're answering your own question. I mean, we have a technology road map as to where we want to bring the technology, but we also take very seriously our academic ties--Stanford, Carnegie Mellon, MIT are three of the leading places that we make sure we know what's going on, because they're a fountain of good ideas. We go visit campus, and hire students. It's a community that likes to get together, talk about what they're up to. Building robots is extremely difficult and trying to just go off and do it alone is (daunting). You have to be humble in this industry.

Helen Greiner and Rod Brooks both left the company last year, they were two of the three co-founders. How are things different nowadays without them here day to day. I know they're on the board...
Angle: They're on the board, and that's the key thing. Rod, when he was at the company, was playing a role that is helping to network, helping to keep us aware of what's going on in the industry, and that's something he can do, maybe a little less formally, but certainly very effectively, from a position on the board. Certainly Helen leaving the company--she's a very talented individual and we miss her, but she's still intimately tied into the business. What she's doing is synergistic with where we're going with our military division.

I wish them well and success. It's difficult to predict exactly what's going to happen, but it's a boon to the industry. And iRobot still gets to tap into the association with these two pioneers. So it's a little bit different, but it's not like they're gone, and we've been able to continue to grow and thrive and things are still very, very exciting. We've been able to attract a lot of new, brilliant roboticists to be at the company where we are making it happen and putting actual robots in the hands of soldiers and customers around the world.

Correction, April 16, 11:19 a.m. PT: This interview initially misstated the number of countries into which the PackBot has been sold, along with the speed and payload for the Warrior.

April 2, 2009 6:37 PM PDT

Robo-scientist makes gene discovery--on its own

by Leslie Katz
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Adam (shown in background) may not look like its two colleagues in the white coats, but it's starting to act like them.

(Credit: Aberystwyth University)

Earlier this week, we told you about a robot that could be controlled by human thought alone. Now comes news of a bot that doesn't need to bother with any human thought at all, thank you very much. It's a "robot scientist" that researchers believe to be the first machine to independently come up with new scientific findings. Aptly, the bot is named Adam.

While we've become accustomed to robots built to repeat a given task many times over, scientists at Aberystwyth University in Wales and the U.K's University of Cambridge designed Adam to take a more human approach to scientific inquiry. And while it may not win the Nobel Prize for physics just yet, Adam appears to be doing impressively well for a young scientist, carrying out scientific research automatically, without the need for further human intervention.

As reported in the latest issue of the journal Science, Adam autonomously hypothesized that certain genes in the yeast Saccharomyces cerevisiae code for enzymes that catalyze some of the microorganism's biochemical reactions. The yeast is noteworthy, as scientists use it to model more complex life systems.

Adam then devised experiments to test its prediction, ran the experiments using laboratory robotics, interpreted the results, and used those findings to revise its original hypothesis and test it out further. The researchers used their own separate experiments to confirm that Adam's hypotheses were both novel and correct--all the while probably wondering how soon they'd become obsolete.

... Read more
Originally posted at Crave
November 19, 2008 8:53 AM PST

Q&A: Kurzweil on tech as a double-edged sword

by Natasha Lomas
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Ray Kurzweil has invented and commercialized a raft of innovative technologies--including a text-to-speech synthesizer, voice recognition software, and a print-to-speech reading machine for the blind--garnering a clutch of awards in the process. He has also written extensively on artificial intelligence and robotics.

In several of his published books, including The Age of Spiritual Machines and The Singularity is Near, he describes a vision of the future where machine and human intelligence are increasingly combined, augmenting each other and ultimately, in Kurzweil's view, enabling humans to become both smarter and better. "These technologies can enhance not just our intelligence but our ethical and moral sense, our emotional intelligence, and make us more exemplary of what we consider to be human," he says.

Key to understanding Kurzweil's philosophy is what he dubs "the law of accelerating returns"--or a belief that technological change has an exponential, not linear, progression, and thus information technologies which today seem to be inching forward at a snail's pace will actually reach a tipping point much faster than expected and will accelerate ever more rapidly thereafter, enabling disruptive change in the relatively near term.

"The computer in your cell phone today is a million times cheaper and a thousand times more powerful and about a hundred thousand times smaller (than the one computer at MIT in 1965) and so that's a billion-fold increase in capability per dollar or per euro that we've actually seen in the last 40 years," says Kurzweil.

"The rate is actually speeding up a little bit, so we will see another billion-fold increase in the next 25 years--and another hundred-thousand-fold shrinking. So what used to fit in a building now fits in your pocket, what fits in your pocket now will fit inside a blood cell in 25 years."

Silicon.com reporter Natasha Lomas recently caught up with Kurzweil--who finished 14th in this year's Silicon.com Agenda Setters list, to discuss his vision of a man-plus-machine future, what intelligent computers will mean for human society and jobs, and what dangers we might encounter in a world awash with advanced technology.

Q: What is the most exciting technology that you've seen in recent years?
Kurzweil: One industry that is just in the last few years transformed from a pre-information era to becoming an information technology is health and medicine. We have software that's running in our bodies that's thousands of years old or more and it evolved when conditions were very different. For example, the fat insulin receptor gene says "hold onto every single calorie in your fat cells," and that was a good idea 1,000 years ago. It's not a good idea today--it underlies an epidemic of obesity certainly in my country. And what would happen if we turned that gene off?

There are other genes that are necessary for heart disease or cancer to progress that we'd like to turn off and we've come up with a new technology, RNA interference, that can turn off selected genes. We also have new methods of adding new genes so...we can update this outdated software that runs in our bodies. We can also turn on and off enzymes and proteins and really reprogram the information processes of underlying biology--and we can design these interventions on computers rather than just try to find some substance that happens to work and we can then test them out in biological simulators.

Now all of these developments...are in an early stage but they're information technologies so they will advance exponentially not linearly. These technologies will be a thousand times more capable in 10 years, a million times more powerful in 20 years and, according to my models, we'll be adding more than a year every year not just to infant life expectancy but to your remaining life expectancy, so the sands of time will start running in rather than running out.

When will the Turing Test be passed? And what will it mean for human society?
Kurzweil: I've been quite consistent that it'll happen by 2029. I think (the rules, that a computer passes the test if it fools the judges 30 percent of the time, are) actually too lenient--in the recent test it fooled the judges 25 percent of the time. Every time they run that test the computers do a little bit better. The first reports (of a computer passing) I probably won't accept it myself...but then as time goes on the computers will pass more and more stringent sets of rules and by 2029 it'll be unarguable that computers have passed. And I do think it's a good test. It's not by the way a test of human consciousness--it's a test of human intelligence, which is something we can objectively measure even though we can argue about how to measure it.

Consciousness is not something we can readily measure in another entity. However, in order for a computer or any entity to pass the Turing Test it has to master human emotion--and human emotion is not some sideshow. What humans do well is both pattern recognition and our emotional thinking, which is a form of recognizing patterns that we find in situations. Getting the joke, being funny, expressing a loving sentiment--these are actually the most complicated things we do, the cutting edge of human intelligence.

You won't be able to walk into a room and say "OK, humans on the left, machines on the right," because it's going to be all mixed up.

In terms of the impact on society, it will be an important threshold but it won't transform things right away...because having a few more equivalents of human intelligence isn't necessarily going to change things. But because non-biological intelligence will be subject to the law of accelerating returns it will continue to progress both in hardware and software because these intelligent entities can access our source code, they can upgrade themselves. Ultimately non-biological intelligence will be much more powerful than biological human intelligence, but it's not an invasion of intelligent machines from Mars--it's coming from our own civilization. And we will use it as we do today to expand our own reach--we will make ourselves smarter. That is what is unique about human beings. We were the first species to create tools to extend our reach and then we use our tools to create more powerful tools and no other species does that.

Will super intelligent machines ever have souls?
Kurzweil: The soul is a synonym for consciousness...and if we were to consider where consciousness comes from we would have to consider it an emerging property. Brain science is instructive there as we look inside the brain, and we've now looked at it in exquisite detail, you don't see anything that can be identified as a soul--there's just a lot of neurons and they're complicated but there's no consciousness to be seen. Therefore it's an emerging property of a very complex system that can reflect on itself. And if you were to create a system that had similar properties, similar level of complexity it would therefore have the same emerging property and this would be more than an abstraction because these future entities...will be convincing.

It also won't be clear--you won't be able to walk into a room and say, "OK, humans on the left, machines on the right," because it's going to be all mixed up. You'll have biological humans but they'll have machine processes in their brain, there may be a lot more complexity in the machine intelligence in their brain than the biological portion of their brain. It's not going to be a clear distinction of where humans or biological intelligence stops and machine intelligence starts. (So) we will attribute consciousness to entities even if they have no biology, even if they're fully machine entities: they will seem human, they will seem consciousness, we will attribute souls to them but that's not a scientific statement.

In seeking to create artificial intelligence, why are we attempting to mimic the human brain when machine intelligence necessarily seems to be a very different type of intelligence?
Kurzweil: There are two different approaches to AI and both of them are showing themselves to be successful. One is just to engineer intelligent solutions without consideration of how the brain does it, which is the way we created flying machines without necessarily emulating birds. And a lot of AI---in fact most of it in use today--was done that way. That's because we really couldn't see inside the brain until quite recently--that's another exponential progression. We now have brain scanners that can actually see inside a living brain at the level of individual synapses and interneural connections and can see the neurotransmitters and...see new spines being created as we think our thoughts--so we can see not only our brain create our thoughts but our thoughts create our brain.

Ultimately non-biological intelligence will be much more powerful than biological human intelligence, but it's not an invasion of intelligent machines from Mars--it's coming from our own civilization.

We are able now to actually turn this data into working simulations of brain regions--there are two dozen brain regions that have been modeled and simulated...and as we simulate these regions we are learning how the brain produces this intelligence and there's a lot to be learned there. The best example of human intelligence we have is the human brain and as we learn its methods we can add that to our toolkit. It doesn't mean we're going to just copy exactly how a human brain works. We're going to basically apply those principles. That's what engineering does well. As engineering learns scientific principles it can magnify and focus on those principles and dramatically increase their effects.

Is too much technology--and the sheer volume of accessible information--ruining our ability to concentrate?
Kurzweil: Not at all. This old controversy goes back to kids using calculators, not learning arithmetic. But if you don't have to bother with the mechanics of arithmetic you need to think more about the abstractions of how to solve a problem. And the fact that we can access knowledge and automate some of the more mechanical aspects of thinking allows us to think more creatively and creative projects are getting done more rapidly, so we are increasing human creativity with these tools. There's also the phenomena of the wisdom of crowds which the Internet is able to harness. The blogosphere for example--an individual blog may be unreliable but the whole blogosphere is able to uncover the truth about issues much more rapidly...so a crowd can be much wiser than any of the individuals--it's kinda the opposite end of the spectrum from the lynch mob where you have the lowest common denominator of intelligence. But decentralization tends to harness the wisdom of crowds rather than the wisdom of lynch mobs.

Are there any jobs computers/robots/AI could not eventually do better than humans?
Kurzweil: Ultimately artificial intelligence is going to be able to do everything humans do. (It) will operate at the best human levels and do so tirelessly but...there's in fact a larger number of jobs today than there was 100 years ago and they pay eight times as much in constant currency as a century ago and they're more complex and actually more satisfying--and we've also invested a lot more in education as a result. So these trends are going to continue, work is going to become more and more intellectual. I'd say that already half the population contributes to creating information or intellectual content of one kind or another--none of these jobs existed 50 years ago.

What downsides are there to advanced technologies?
Kurzweil: Technology is a double-edged sword, and the Internet will spread hate and allow destructive groups to organize...but I think the destructive side of the Internet is fairly subtle. An issue I'm more concerned about...is the abuse of biotechnology. I think it's going to be very powerful in terms of enabling us to overcome disease and aging and extend human longevity and health, but it could also be used by a bioterrorist today to reprogram a biological virus to be more deadly or more communicative or more stealthy and so some people have called for a relinquishing of (biotech and other advanced technologies like nanotechnology and AI) because they are too dangerous.

In my view, relinquishing these technologies is a bad idea for three reasons: one it would deprive us of these proponed benefits and there's still a lot of suffering in the world that we need to overcome. Secondly it would require totalitarian government to implement a ban. And thirdly it wouldn't work, and I think that's really the key point--we'd just drive these technologies underground where they would be even more dangerous, more out of control. So my view is the correct response is twofold: one, ethical standards to prevent accidental problems by responsible practitioners...and secondly developing a rapid response system that can deal with people who don't follow the guidelines, who are trying to be destructive like terrorists. The good news is we now have the tools to do that. We can now sequence a biological virus in one day.

Natasha Lomas of Silicon.com reported from London.

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