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"But what about evolution through 'unnatural selection', as National Geographic puts it. It seems that our natural, biological evolution simply cannot keep pace with the dizzying array of human enhancing technologies that emerged, and have shaped how we think, and our physical capacities."

GREAT ARTICLE ON AI "There is some debate about how soon AI will reach human-level general intelligence-the median year on a survey of hundreds of scientists about when they believed we'd be more likely than not to have reached AGI was 204012-that's only 25 years from now, which doesn't sound that huge until you consider that many of the thinkers in this field think it's likely that the progression from AGI to ASI happens very quickly. Like-this could happen: It takes decades for the first AI system to reach low-level general intelligence, but it finally happens. A computer is able understand the world around it as well as a human four-year-old. Suddenly, within an hour of hitting that milestone, the system pumps out the grand theory of physics that unifies general relativity and quantum mechanics, something no human has been able to definitively do. 90 minutes after that, the AI has become an ASI, 170,000 times more intelligent than a human."

"What do you think? Will robotic super-intelligence lead us towards salvation or poverty?"

"Pearson is apparently monitoring social media, to detect signs of cheating during exams. That's insanely creepy, and a horrible violation. "And for those who think "Well, its Twitter, its public", remember this: So is walking down the street. But is it OK for the government to monitor us with street surveillance cameras and send us fines for not crossing with the crosswalk?" via Pearson Caught Spying On Students. Big Brother Is Here. "

"No arguments there, but the term, which stands for "artificial intelligence", has a more storied history than Spielberg and Kubrick's 2001 film. The concept of artificial intelligence goes back to the birth of computing: in 1950, just 14 years after defining the concept of a general-purpose computer, Alan Turing asked "Can machines think?""

"Prof Stephen Hawking, one of Britain's pre-eminent scientists, has said that efforts to create thinking machines pose a threat to our very existence. He told the BBC:"The development of full artificial intelligence could spell the end of the human race.""

"The most well-documented of these deals with the hash function used to "anonymize" the license and medallion numbers. A bit of lateral thinking from one civic hacker and the data was completely de-anonymized. This data can now be used to calculate, for example, any driver's annual income. More disquieting, though, in my opinion, is the privacy risk to passengers. With only a small amount of auxiliary knowledge, using this dataset an attacker could identify where an individual went, how much they paid, weekly habits, etc. I will demonstrate how easy this is to do in the following section."

""We believe a very large portion of healthcare spend is preventable," said John Kelly, IBM's SVP of solutions research, in an interview with Mashable. "Costs can improve dramatically through these technologies." Kelly is so confident in Watson Health Cloud that he thinks it can not only halt the growth of healthcare costs, but also reverse them."

"Atlas is a semi-autonomous system. The operator tells the robot where to be and what position to take, such as where to put its hands on a vacuum cleaner, and then the robot comes up with a plan of how to do that. For some chores Atlas's actions are logical and human-like. Others require re-thinking of how to get the job done in a way that its quite different to the way a person would perform the action."

""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."

""My concern is that a facial recognition rejection can [create] bias," said Rudolph. "So, if someone has a lot of faith in this technology and thinks that it's foolproof, and someone is rejected by this system, that customs officer or gate agent may be predisposed to saying this person is traveling with fraudulent credentials. That's a crime and a serious issue.""

"This affects all of us every single day. When the algorithms that govern increasingly large parts of our lives have been designed almost exclusively by young bro-grammers with homogeneous experiences and worldviews, those algorithms are going to fail significant sections of society. A heartbreaking example of this is Gillian Brockell's experience of continuing to get targeted by pregnancy-related ads on Facebook after the stillbirth of her son. Brockell, a Washington Post journalist, recently made headlines when she tweeted an open letter to big tech companies, imploring them to think more carefully about how they target parenting ads."

"This way of thinking about search results is wrong. Recent studies suggest that search engines, rather than providing a neutral way to find information, may actually play a major role in shaping public opinion on political issues and candidates. Some research has even argued that search results can affect the outcomes of close elections. In a study aptly titled In Google We Trust participants heavily prioritized the first page of search results, and the order of the results on that page, and continued to do so even when researchers reversed the order of the actual results."

"The bitcoin blockchain was created, in part, to address this historical weakness. After the 21 millionth bitcoin is mined, in around 2140, the system will produce no more."

" Critics have pointed out that the old computing adage "garbage in, garbage out" also applies to ML. If the data from which a machine "learns" is biased, then the outputs will reflect those biases. And this could become generalised: we may have created a technology that - however good it is at recommending films you might like - may actually morph into a powerful amplifier of social, economic and cultural inequalities."

"The articles were so widely and quickly shared that they triggered Facebook's spam filters, which blocked the most popular stories about the breach, including an AP story and a Guardian story. There's no reason to think that Facebook intentionally suppressed embarrassing news about its own business. Rather, this is a cautionary tale about the consequences of content filtering on big platforms."

"showing how they can create a 40cm x 40cm "patch" that fools a convoluted neural network classifier that is otherwise a good tool for identifying humans into thinking that a person is not a person -- something that could be used to defeat AI-based security camera systems. They theorize that the could just print the patch on a t-shirt and get the same result."

""The Myanmar issues have, I think, gotten a lot of focus inside the company," he told Vox as he went on to detail an incident when he was informed of "sensational messages" being spread through Facebook Messenger to incite violence on both sides of the conflict."

""When you have a fully digital system you have no weapon to defend yourself if someone turns it off," he says. "If Putin invades Gotland [Sweden's largest island] it will be enough for him to turn off the payments system. No other country would even think about taking these sorts of risks, they would demand some sort of analogue system.""

"Second Life, Thinking Worlds, Unity3D and others were all making inroads into the realm of corporate learning and there was a buzz about it in the L&D market, which, at the time, had a reputation for churning out spectacularly boring and poorly designed compliance-based eLearning. One major mobile phone network with whom I worked back in 2008 had a vision of enlivening their learner experience by providing a 3D avatar-based portal into their learning management system, which at the time hosted solidly 2D page-turner eLearning of a very pedestrian nature."