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BBC News Program Experiences the Most Awkward Glitch. Viewers of BBCs News at Ten were entranced last night when a glitch in its system produced over four minutes of surreal beauty. As the program began, the usual opening rush of clips from around the world accompanied by dramatic music played. A breaking news graphic flew up onscreen and then there was silence. The host, Huw Edwards, sat at his desk, patiently awaiting his cue. But the cue was not coming. Instead, the breaking news graphic came up again. B roll footage from random segments randomly played and all the while we kept seeing Edwards at his desk, deep in thought. Around the two minute mark, the camera slowly zoomed in on Edwards in a moment that felt like a climax. But no, it snapped back to a wide shot and the idle host continued to contemplate the mysteries of the universe. Paul Royall, the shows editor, tells The. Guardian that a technical system crash occurred just as the show was about to begin and a backup system had to be initialized. Another glitch occurred later on Good Morning Britain that was blamed on the system overheating. If youre wondering why that lovely slow zoom occurred, its because the BBC uses a robotic camera system. In a blog post about the cameras, the network explains the two types of cameras it uses Furios, which are fixed to a dolly and run on tracks, limiting their movement to side to side, and Shotokus, which are mounted on three wheels and can move freely across the floor. They can either be pre programmed or controlled directly by a person. For his part, Edwards came out of this looking good. Viewers of BBCs News at Ten were entranced last night when a glitch in its system produced over four minutes of surreal beauty. As the program began, the usual. The mindfulness craze has already been tapped for a huge variety of benefitsimproved sleep, increased productivity, cutting out mindless snacking, etc. And we now. Andrew Luck, whose status had been mostly obscured by the Indianapolis Colts through the NFL preseason, will be out at least several more weeks as he continues to. Nikita is an American television series that aired on The CW from September 9, 2010 to December 27, 2013 in the United States. The series is an adaptation of the 1990. Time Warner Dvr Recover Deleted Program On Dvr' title='Time Warner Dvr Recover Deleted Program On Dvr' />Youve got problems, Ive got advice. This advice isnt sugarcoatedin fact, its sugarfree, and may even be a little bitter. Welcome to Tough Love. If your Outlook account has been hacked, your passwords and other personal information may have been compromised. To recover your email account and prevent it from. He didnt get caught saying anything stupid and he didnt pick his nose. He later told Radio 4 that he realized something was up about 4. Viewers loved it, tweeting their approval with messages like, Watching Huw Edwards do nothing on BBC news is kinda absorbing, like a lava lamp. And love it they should. Watching TV personalities when they dont think theyre on the air is always fascinating. See it in full below. The Guardian. A screenshot from McMakisteins YouTube video about recreating Overwatch character Doomfist. Chloe Spencer is the summer intern for Kotaku and recently graduated. Contact Time Warner Customer Service. Find Time Warner Customer Support, Phone Number, Email Address, Customer Care Returns Fax, 800 Number, Chat and Time Warner FAQ. How to undelete dvr recordings with dvr data recovery software free. 99 Names Of Allah In Arabic Pdf. How to recover deleted recordings, tv shows from dvr. No, Facebook Did Not Panic and Shut Down an AI Program That Was Getting Dangerously Smart. In recent weeks, a story about experimental Facebook machine learning research has been circulating with increasingly panicky, Skynet esque headlines. Facebook engineers panic, pull plug on AI after bots develop their own language, one site wrote. Facebook shuts down down AI after it invents its own creepy language, another added. Did we humans just create Frankenstein asked yet another. One British tabloid quoted a robotics professor saying the incident showed the dangers of deferring to artificial intelligence and could be lethal if similar tech was injected into military robots. References to the coming robot revolution, killer droids, malicious AIs and human extermination abounded, some more or less serious than others. Continually quoted was this passage, in which two Facebook chat bots had learned to talk to each other in what is admittedly a pretty creepy way. Time Warner Dvr Recover Deleted Program On Dvr Won\u0027t' title='Time Warner Dvr Recover Deleted Program On Dvr Won\u0027t' />Bob I can i i everything else. Alice balls have zero to me to me to me to me to me to me to me to me to Bob you i everything else. Alice balls have a ball to me to me to me to me to me to me to me to me. The reality is somewhat more prosaic. A few weeks ago, Fast. Co Design did report on a Facebook effort to develop a generative adversarial network for the purpose of developing negotiation software. The two bots quoted in the above passage were designed, as explained in a Facebook Artificial Intelligence Research unit blog post in June, for the purpose of showing it is possible for dialog agents with differing goals implemented as end to end trained neural networks to engage in start to finish negotiations with other bots or people while arriving at common decisions or outcomes. The bots were never doing anything more nefarious than discussing with each other how to split an array of given items represented in the user interface as innocuous objects like books, hats, and balls into a mutually agreeable split. The intent was to develop a chatbot which could learn from human interaction to negotiate deals with an end user so fluently said user would not realize they are talking with a robot, which FAIR said was a success The performance of FAIRs best negotiation agent, which makes use of reinforcement learning and dialog rollouts, matched that of human negotiators. FAIRs bots not only can speak English but also think intelligently about what to say. When Facebook directed two of these semi intelligent bots to talk to each other, Fast. Co reported, the programmers realized they had made an error by not incentivizing the chatbots to communicate according to human comprehensible rules of the English language. In their attempts to learn from each other, the bots thus began chatting back and forth in a derived shorthandbut while it might look creepy, thats all it was. Agents will drift off understandable language and invent codewords for themselves, FAIR visiting researcher Dhruv Batra said. Like if I say the five times, you interpret that to mean I want five copies of this item. This isnt so different from the way communities of humans create shorthands. Facebook did indeed shut down the conversation, but not because they were panicked they had untethered a potential Skynet. FAIR researcher Mike Lewis told Fast. Co they had simply decided our interest was having bots who could talk to people, not efficiently to each other, and thus opted to require them to write to each other legibly. But in a game of content telephone not all that different from what the chat bots were doing, this story evolved from a measured look at the potential short term implications of machine learning technology to thinly veiled doomsaying. There are probably good reasons not to let intelligent machines develop their own language which humans would not be able to meaningfully understandbut again, this is a relatively mundane phenomena which arises when you take two machine learning devices and let them learn off each other. Its worth noting that when the bots shorthand is explained, the resulting conversation was both understandable and not nearly as creepy as it seemed before. Time Warner Dvr Recover Deleted Program On Dvr' title='Time Warner Dvr Recover Deleted Program On Dvr' />As Fast. Co noted, its possible this kind of machine learning could allow smart devices or systems to communicate with each other more efficiently. Those gains might come with some problemsimagine how difficult it might be to debug such a system that goes wrongbut it is quite different from unleashing machine intelligence from human control. In this case, the only thing the chatbots were capable of doing was coming up with a more efficient way to trade each others balls. There are good uses of machine learning technology, like improved medical diagnostics, and potentially very bad ones, like riot prediction software police could use to justify cracking down on protests. All of them are essentially ways to compile and analyze large amounts of data, and so far the risks mainly have to do with how humans choose to distribute and wield that power. Hopefully humans will also be smart enough not to plug experimental machine learning programs into something very dangerous, like an army of laser toting androids or a nuclear reactor. But if someone does and a disaster ensues, it would be the result of human negligence and stupidity, not because the robots had a philosophical revelation about how bad humans are. At least not yet. Machine learning is nowhere close to true AI, just humanitys initial fumbling with the technology. If anyone should be panicking about this news in 2.