aha the old trojan horse tactic .. the intruder spy destroyer ..
Then it executes a killer bank shot, driving the ball into the hole and through to the other side, where it ricochets back and forth, destroying the entire wall from within.
that link is about 1.6 inches into yours .. this gives a bit of detail of how Hawking works ..
What is Stephen Hawking's writing process? According to Wikipedia, his speech method takes quite a bit:
"In Hawking's many media appearances, he appears to speak fluently through his synthesizer, but in reality, it is a tedious drawn-out process. Hawking's setup uses a predictive text entry system, which requires only the first few characters in order to auto-complete the word, but as he is only able to use his cheek for data entry, constructing complete sentences takes time. His speeches are prepared in advance, but having a live conversation with him provides insight as to the complexity and work involved. During a Technology, Entertainment, & Design Conferencetalk, it took him seven minutes to answer a question."
The definitive guide to whether or not a robot will take your job
-- .. after reading the article i'm scrathin' my head on the word "definitive" up there .. anyway, in it this one toward the bottom under the heading Who knows, really!
"* In a Pew survey of 1,896 technology experts, about half believed that technology would destroy more jobs than it creates, creating mass unemployment, and half disagreed."
was a surprise .. --
By Lydia DePillis March 23
In the midst of an international freakout about what is to become of us as robots learn to do for free the things humans do to make a living, it’s easy to feel lost in the flurry of papers and panels and general pontification on how terrified we ought to feel about it.
We at Wonkblog have created a repository of evidence on all sides of the debate, and will maintain it as a public service as long as automation anxiety continues to be a thing. To that end, please send worthy contributions to lydia.depillis@washpost.com.
A newly installed solar powered Robtocop looks down over road users in Kinshasa, Congo DR, 08 March 2015. The five arm-waving robots equipped with cameras and lights have been set up to watch over the roads. The robots have cameras on their bodies to record the traffic and traffic lights in the end of their arms. It is is hoped that they will control traffic better and lower the death toll on the congested roads. (EPA/ANDREAS HAJDU)
Robots are taking our jobs, and the future looks grim!
* In his book "Average is Over," economist Tyler Cowen predicts .. http://www.amazon.com/Average-Is-Over-Powering-Stagnation/dp/0142181110 .. that comprehensive rating systems will produce a hyper-meritocracy in which the super-talented work with machines to get ahead, while those without the education or smarts to do so will fall far behind. In the absence of a much more robust social safety net, that means inequality will only get worse.
Robots are taking our jobs, but everything might be fine!
[ for some reason an urge to include off-the-top thoughts came on in this section ]
* Techno-optimist Kevin Kelly of Wired celebrates the coming of our robot overlords .. http://www.wired.com/2012/12/ff-robots-will-take-our-jobs/ , arguing that they will free us to do more fulfilling and higher-value jobs in the future.
[ since when isn't a cleaner a high-value job? .. have you ever stayed in a hotel which doesn't have cleaners? ]
* A paper .. http://www.thirdway.org/report/dancing-with-robots-human-skills-for-computerized-work .. commissioned by the think tank Third Way from scholars Richard Murname and Frank Levy talks about the kinds of jobs that won’t be automated anytime soon, and concludes that more thoroughgoing education is necessary to make sure more people can get them.
[ "anytime soon" .. we are talking about long term, aren't we? ]
[ that slower productivity growth would come with a negative effect on jobs, wouldn't it? .. which may mean that less humans will be needed ]
* Erik Brynjolfsson and Andrew McAfee are perhaps the most influential thinkers on this question, having laid out the ways in which technology is impacting labor markets in their 2014 book, "The Second Machine Age .. http://www.secondmachineage.com/ ." They are essentially optimists, recognizing the painful disruption that technology is likely to cause, but recommending a suite of educational reforms that allow humans to use robots to their advantage.
[ hmm .. lol .. governments could pay humans to further their education ]
Robots are not the main problem!
* Larry Mishel at the Economic Policy Institute .. http://www.epi.org/blog/robots-coming-blame-wage-job-problems/ .. finds that the skill-based technological change explanation for wage stagnation and high unemployment doesn’t track with trends like the declining wage premium for college, and so can’t be a driving force behind income inequality.
[ even if it isn't we are really talking about jobs, aren't we? ]
* David Autor of MIT thinks that humans have historically overestimated .. http://www.kc.frb.org/publicat/sympos/2014/2014093014.pdf .. the degree to which robots will replace jobs, rather than replace tasks, and that humans and robots can really be complimentary.
[ is that really valid considering we are more into it so seems the estimations oughta be more informed now }
[ seems the number of college students unemployed today suggests Larry could be onto something there ]
* James Bessen of Boston University School of Law argues .. http://www.imf.org/external/pubs/ft/fandd/2015/03/bessen.htm .. that just because computers can do jobs that people now hold, that doesn’t mean that all those people will be replaced by robots — ATMs didn’t eliminate bank tellers, for example.
[ be assured if some get their way BINA48 and her mates will line up for some of those one day .. i'm telling you .. lol .. ok, nu mure cimments ]
* In a Pew survey .. http://www.pewinternet.org/2014/08/06/future-of-jobs/ .. of 1,896 technology experts, about half believed that technology would destroy more jobs than it creates, creating mass unemployment, and half disagreed.
[ ok, now i see that's short term to 2025 so not so surprised as i was up top ]
Lydia DePillis is a reporter focusing on labor, business, and housing. She previously worked at The New Republic and the Washington City Paper. She's from Seattle.
.. lolol, F6, guess the fact of the urge to comment in the one section above means i'm running alongside the same rocky ride transport you, Carl Benedikt Frey, Michael Osborne, Elon Musk, Bill Gates, Steve Wozniak and Economists Paul Krugman, Georg Graetz, Guy Michaelsthe, Tyler Cowen and Nouriel Roubini and others are on .. with worries ..
In this paper (to be presented at RO-MAN 2015), we show that a test of self-consciousness can be passed by NAO Bots reasoning over representations in the Deontic Cognitive Event Calculus (DCEC*).
Last updated: July 23, 2015 7:35 pm Henry Mance, Arash Massoudi and James Fontanella-Khan
VIDEO
Nikkei, Japan’s largest media company, is to buy the FT Group from Pearson for £844m, after stunning its rival bidder Germany’s Axel Springer with an eleventh hour offer for the London-based global news organisation.
October 12, 2015/0 Comments/in AI, Featured, Partner Orgs /by Max Tegmark
Elon-Musk-backed program signals growing interest in new branch of artificial intelligence research.
A new international grants program jump-starts research to Ensure AI remains beneficial.
July 1, 2015 Amid rapid industry investment in developing smarter artificial intelligence, a new branch of research has begun to take off aimed at ensuring that society can reap the benefits of AI while avoiding potential pitfalls.
The Boston-based Future of Life Institute (FLI) announced the selection of 37 research teams .. http://futureoflife.org/AI/2015awardees .. around the world to which it plans to award about $7 million from Elon Musk and the Open Philanthropy Project as part of a first-of-its-kind grant program dedicated to “keeping AI robust and beneficial”. The program launches as an increasing number of high-profile figures including Bill Gates, Elon Musk and Stephen Hawking voice concerns about the possibility of powerful AI systems having unintended, or even potentially disastrous, consequences. The winning teams, chosen from nearly 300 applicants worldwide, will research a host of questions in computer science, law, policy, economics, and other fields relevant to coming advances in AI.
The 37 projects being funded include:
* Three projects developing techniques for AI systems to learn what humans prefer from observing our behavior, including projects at UC Berkeley and Oxford University
* A project by Benja Fallenstein at the Machine Intelligence Research Institute on how to keep the interests of superintelligent systems aligned with human values
* A project led by Manuela Veloso from Carnegie Mellon University on making AI systems explain their decisions to humans
* A study by Michael Webb of Stanford University on how to keep the economic impacts of AI beneficial
* A project headed by Heather Roff studying how to keep AI-driven weapons under “meaningful human control”
* A new Oxford-Cambridge research center for studying AI-relevant policy
As Skype founder Jaan Tallinn, one of FLI’s founders, has described this new research direction, “Building advanced AI is like launching a rocket. The first challenge is to maximize acceleration, but once it starts picking up speed, you also need to to focus on steering.”
When the Future of Life Institute issued an open letter in January calling for research on how to keep AI both robust and beneficial, it was signed by a long list of AI researchers from academia, nonprofits and industry, including AI research leaders from Facebook, IBM, and Microsoft and the founders of Google’s DeepMind Technologies. It was seeing that widespread agreement that moved Elon Musk to seed the research program that has now begun.
“Here are all these leading AI researchers saying that AI safety is important”, said Musk at the time. “I agree with them, so I’m today committing $10M to support research aimed at keeping AI beneficial for humanity.”
“I am glad to have an opportunity to carry this research focused on increasing the transparency of AI robotic systems,” said Manuela Veloso, past president of the Association for the Advancement of Artificial Intelligence (AAAI) and winner of one of the grants.
“This grant program was much needed: because of its emphasis on safe AI and multidisciplinarity, it fills a gap in the overall scenario of international funding programs,” added Prof. Francesca Rossi, president of the International Joint Conference on Artificial Intelligence (IJCAI), also a grant awardee.
Tom Dietterich, president of the AAAI, described how his grant — a project studying methods for AI learning systems to self-diagnose when failing to cope with a new situation — breaks the mold of traditional research:
“In its early days, AI research focused on the ‘known knowns’ by working on problems such as chess and blocks world planning, where everything about the world was known exactly. Starting in the 1980s, AI research began studying the ‘known unknowns’ by using probability distributions to represent and quantify the likelihood of alternative possible worlds. The FLI grant will launch work on the ‘unknown unknowns’: How can an AI system behave carefully and conservatively in a world populated by unknown unknowns — aspects that the designers of the AI system have not anticipated at all?”
As Terminator Genisys debuts this week, organizers stressed the importance of separating fact from fiction. “The danger with the Terminator scenario isn’t that it will happen, but that it distracts from the real issues posed by future AI”, said FLI president Max Tegmark. “We’re staying focused, and the 37 teams supported by today’s grants should help solve such real issues.”
The full list of research grant winners can be found here .. http://futureoflife.org/AI/2015awardees . The plan is to fund these teams for up to three years, with most of the research projects starting by September 2015, and to focus the remaining $4M of the Musk-backed program on the areas that emerge as most promising.
FLI has a mission to catalyze and support research and initiatives for safeguarding life and developing optimistic visions of the future, including positive ways for humanity to steer its own course considering new technologies and challenges.
Contacts at the Future of Life Institute:
Max Tegmark: tegmark@mit.edu Meia Chita-Tegmark: meia@bu.edu Jaan Tallinn: jaan@futureoflife.org Anthony Aguirre: aguirre@scipp.ucsc.edu Viktoriya Krakovna: vika@futureoflife.org Jesse Galef: jesse@futureoflife.org
Physicist John Martinis could deliver one of the holy grails of computing to Google—a machine that dramatically speeds up today’s applications and makes new ones possible.
By Tom Simonite on December 18, 2015
John Martinis has been researching how quantum computers could work for 30 years. Now he could be on the verge of finally making a useful one.
John Martinis used the arm of his reading glasses to indicate the spot where he intends to demonstrate an almost unimaginably powerful new form of computer in a few years. It is a cylindrical socket an inch and a half across, at the bottom of a torso-sized stack of plates, blocks, and wires of brass, copper, and gold. The day after I met with him this fall, he loaded the socket with an experimental superconducting chip etched with a microscopic Google logo and cooled the apparatus to a hundredth of a degree Celsius above absolute zero. To celebrate that first day of testing the machine, Martinis threw what he called “a little party” at a brewpub with colleagues from his newly outfitted Google lab in Santa Barbara, California.
That party was nothing compared with the celebration that will take place if Martinis and his group can actually create the wonder computer they seek. Because it would harness the strange properties of quantum physics that arise in extreme conditions like those on the ultracold chip, the new computer would let a Google coder run calculations in a coffee break that would take a supercomputer of today millions of years. The software that Google has developed on ordinary computers to drive cars or answer questions could become vastly more intelligent. And earlier-stage ideas bubbling up at Google and its parent company, such as robots that can serve as emergency responders or software that can converse at a human level, might become real.
The theoretical underpinnings of quantum computing are well established. And physicists can build the basic units, known as qubits, out of which a quantum computer would be made. They can even operate qubits together in small groups. But they have not made a fully working, practical quantum computer.
Around 4.74 million people in Japan work more than 60 hours per week.
FRANK CHUNG and AAPnews.com.au
IN this country, people are literally working themselves to death.
Every year, hundreds of overstressed Japanese workers succumb to heart attack, stroke or suicide due to a lack of work-life balance.
The problem, which first rose to prominence in the 1980s, has become so bad it even has its own name: karoshi. Death by overwork.
Last week, a British expat living in Tokyo going by the handle ‘Stu in Japan’ posted a video on YouTube titled ‘A week in the life of a Tokyo salary man .. https://www.youtube.com/watch?v=po8IPh64rVM ’.
INSERT: embed
The video diary documented a typical 80-hour week during his financial services company’s “busy season” from January to March — 13-hour days for six days a week, leaving the office after 11pm every night, with barely time to squeeze in dinner.
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