Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2459

In the “RoboWatch” project at Cornell, researchers let robots search the Internet for online how-to videos to instruct themselves on how to complete certain tasks.

Cornell researchers are using instructional videos off the Internet to teach robots the step-by-step instructions required to perform certain tasks. This ability may become necessary in a future where menial laborer robots – the ones responsible for mundane tasks such as cooking, cleaning, and other household chores – can readily carry out such tasks.

Robots such as these will definitely be beneficial in assisting the elderly and the disabled, though it remains to be seen when (and if) they will truly become available for use. Hopefully, these early tests will help us make such determinations.

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‘In a surprisingly polemic report, ITIF think-tank president Robert Atkinson misinterprets this growing altruistic focus of AI researchers as innovation-stifling “Luddite-induced paranoia.”’

The report released by the ITIF think tank suffers from many problems. It accuses Elon Musk in risking research in the “cars that Google and TESLA are testing”, missing entirely the irony. IMHO, the nomination is not the product of research in what Nick Bostrom, Stephen Hawking, Bill Gates, & Elon Musk actually say.

Each year, the ITIF produces a list of 10 groups they think are holding back technological progress with their annual Luddite award. This year, they included researchers who support AI safety research and autonomous weapons bans, and they called out Elon Musk, Bill Gates and Stephen Hawking by name. The ITIF doesn’t seem to see the irony of calling Elon Musk a luddite despite just landing a rocket, launching auto-piloted electric cars and investing in a $1Bn AI-startup. Read the response written by Stuart Russell and Max Tegmark:

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The are over 13,000 Magic: The Gathering cards, each of which fits uniquely into an incredibly rich, decades-old world of lore, rules, tokens, and tournaments. It takes years to master the game, and even then a new set of cards comes every few months to shake things up.

That’s why it’s wonderful to see what kinds of innovation and oddity a days old artificial intelligence can come up with.

AIMTG_2I’m sorry…What does morph do again?

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Musk opens up about autonomous vehicles, self-driving car rules, and the competition.

In Elon Musk’s world, “easy” is used to describe problems many might consider impossible—or at least very difficult to solve. Producing a fully autonomous vehicle that can operate in any condition and on any road, for example, is easy-ish. And Tesla Motors TSLA 0.91%, the all-electric automaker that Musk heads, is two years away from achieving it.

“I think we have all the pieces, and it’s just about refining those pieces, putting them in place, and making sure they work across a huge number of environments—and then we’re done,” Musk told Fortune with assuredness during his commute to SpaceX headquarters in Hawthorne, Calif., where he is also CEO. “It’s a much easier problem than people think it is. But it’s not like George Hotz, a one-guy-and-three-months problem. You know, it’s more like, thousands of people for two years.”

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