AI in itself isn’t good or bad. We’re just beginning to go past our initial, vague apprehensions, and to look concretely into how AI can benefit society while ensuring that it doesn’t hurt us.

humans are already building a specific kind of AI ... systems that we construct and endow with legal, real-world power ... their own internal structures of rules and traditions, while humans perform fuzzy brain-based tasks specified by the system. The system as a whole can act with an appearance of purpose, intelligence, and values entirely distin…

They’re funding a new organization, OpenAI, to pursue the most advanced forms of artificial intelligence ... results public and its patents royalty-free, all to ensure that the scary prospect of computers surpassing human intelligence may not be the dystopia that some people fear a research lab meant to counteract large corporations who may gain …

One cognitive scientist thinks the leading approach to machine learning can be improved by ideas gleaned from studying children.... With its radical approach to machine learning, Geometric Intelligence aims to create algorithms for use in an AI that can learn in new and better ways... deep learning... systems need to be fed many thousands of ex…

“applied AI” quietly sneaking into our homes and businesses... has reached an inflection point that will move it from niche to mainstream.... the point of applied AI is that it doesn’t have to be a fully realized intelligence — it just needs to do a specific task well.

true artificial intelligence, if it is realized, might pose a danger that exceeds every previous threat from technology—even nuclear weapons—and that if its development is not managed carefully humanity risks engineering its own extinction... Bostrom is arguably the leading transhumanist philosopher today... bringing order to ideas that might o…

each Model S owners as an “expert trainer” ... each driver will train the autonomous features of the system to feed the collective network intelligence of the fleet by simply driving the electric vehicle on Autopilot... Model S owners are already taking to the Tesla Motors Club forum to describe how the Autopilot is improving... - The Autopi…

an ongoing conflict between artificial intelligence and the linked but divergent project of intelligence augmentation... the difference between a future in which human capabilities are enhanced by technology and one in which humans are made effectively obsolete, versioned out by the consequences of our own ingenuity... we might be “in for an in…

You have nothing to fear but fear itself. Fear, and algorithms... It has never been easier for designers and non-designers to create great websites that even five years ago would have cost a fortune to build... design is dead. There is more to design than the pixel-pushing of visual design... The real designers, problem solvers... able to co…

the competitive significance of business models turbocharged by machine learning is poised to surge... companies must have two types of people to unleash the potential of machine learning. "Quants" are schooled in its language and methods. "Translators" can bridge the disciplines of data, machine learning, and decision making by reframing the …

"in a world dominated by self-steering taxis, each ride becomes cheaper if the vehicles are autonomous rather than owned and run by major corporations... We can program it to ... make it the most moral, socially minded capitalist possible...it would not be self-aware... But they would be programmed to seek self-improvement in order to avoid bec…

"There are many kinds of intelligence, and many kinds of stupidity. But not all are created equal. The intelligence of a computer is not the stupidity of a human, and vice versa. Which one would you rather be? ... One can be smart in stupid ways... or stupid in smart ways... technology’s making us stupid stupid — not just stupider, but stupider…

"Firms such as Google, Facebook, Amazon and Baidu have got into an AI arms race ... not so much making new sorts of minds as it is removing some of the need for the old sort... deep learning ... is a general-purpose pattern-recognition technique ... any activity which has access to large amounts of data—from running an insurance business to res…

"The most striking research results in AI came from the field of deep learning, which involves using crude simulated neurons to process data... often focuses on images... our instincts about privacy must change now that machines can decipher images." - Breakthroughs in Artificial Intelligence from 2014 | MIT Technology Review

Sounds encouraging, but what would "a leading scholar of labor markets" really know about where IT's headed? "Autor argues that even as computers have gotten better at rote tasks, they have progressed far less in applying common sense... this weakness leaves plenty of opportunities for humans to serve as intermediaries of sorts between incre…

Seeing more stuff on robots & AI this year than in previous 3. "In many cases, their algorithm clearly identifies influences that art experts have already found. For example, ... Klimt is close to Picasso and Braque ... the influence of Delacroix on Bazille, ... Munch’s influence on Beckmann and Degas’ influence on Caillebotte. The algorithm is …

“Horses aren’t unemployed now because they got lazy as a species, they’re unemployable. There’s little work a horse can do that do that pays for its housing and hay.” Are you next? Probably. - Humans need not apply

"... envisions a Yahoo that’s as ubiquitous as computers seem destined to be. Phones, watches, public terminals, brain implants — Yahoo wants to be able to deliver content to all of them... Yahoo Labs’ biggest focus appears to be on machine learning... a dedicated machine learning group based in New York; ... “hardcore science and some theory,…

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