Science Documentary: Cyber Illusionist, Thinking Robots, The Future of Machine Intelligence
Robot is a word coined in 1921, in a science fiction tale by the Czech playwright, Karel Čapek. Magic can be thought of as the willing suspension of disbelief. Cyber Illusionists combine science and magic to create illusions. Using iphones, video projection and augmented reality, and collaborating with the open source community to create certain tools that utilize touch screens, voice recognition, pattern recognition and face tracking, etc.
EDI stands for Electronic Deceptive Intelligence. EDI is an autonomous thinking robot, or at least that is what it appears to be. The illusion of the thinking machine is a mixture of mechanical engineering and the deceptiveness of the conjurers art. Alan Turing, a pioneer in the field of artificial intelligence, spoke about creating the illusion of a machine that could think. He said that a computer would deserve to be called intelligent if it deceived a human into believing it was human. In other words, if we do not yet have the technological solutions, would illusion serve the same purpose. That purpose being, to create the robotic illusion with devising a set of ethical rules and codes that all robots would live by. As Isaac Asimov once said, a robot may not harm humanity or by in action, allow humanity to come to harm.
We anthropomorphize our machines by giving them a friendly looking face and a comforting voice. We let them entertain us and make them aware of our presence. They can be conscious of our fragile frames and move themselves away if we get too close. They could become able to account for our unpredictability and anticipate our actions. And so, in creating the illusion of the technological solution, we can truly interact with a thinking, conscious robot.
Machines and humans have worked together over a long period of time, but whereas in the past the machines jobs were to perform labor intensive tasks, now machines are being developed in order to augment our mental capabilities and help us to perform tasks that, in the past, would have been hard to believe could be accomplished. This move from muscle to brain power has been facilitated be Moore's Law, and the growth of machine intelligence or artificial intelligence. There has been exponential growth in machine intelligence over the past 50 years, and that is only expected to continue. The financial crisis was a great example of surging technological advancement combined with too much information. So much so, that we could not decipher what data was important. So even with all this data, we were not able to prevent the economic crisis. So we need to be sure that the integrity of the system remains solid, and that it is not considered untrustworthy. Not only because the cyber system may be corrupted, but that it is untrustworthy and prevents us from handing tasks over to machine intelligence because we cannot trust that it will work. We have seen robots take several human jobs, and we are sure that this will continue. Some estimate about 47% of jobs will be taken by machines. But although some jobs may have been taken by robots, several other new jobs have been created, such as computer programming, app development, and the jobs in the service industry.
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This site provides links to random videos hosted at YouTube, with the emphasis on random.
The original idea for this site actually stemmed from another idea to provide a way of benchmarking the popularity of a video against the general population of YouTube videos. There are probably sites that do this by now, but there wasn’t when we started out. Anyway, in order to figure out how popular any one video is, you need a pretty large sample of videos to rank it against. The challenge is that the sample needs to be very random in order to properly rank a video and YouTube doesn’t appear to provide a way to obtain large numbers of random video IDs.
Even if you search on YouTube for a random string, the set of results that will be returned will still be based on popularity, so if you’re using this approach to build up your sample, you’re already in trouble. It turns out there is a multitude of ways in which the YouTube search function makes it very difficult to retrieve truly random results.
So how can we provide truly random links to YouTube videos? It turns out that the YouTube programming interface (API) provides additional functions that allow the discovery of videos which, with the right approach, are much more random. Using a number of tricks, combined some subtle manipulation of the space-time fabric, we have managed to create a process that yields something very close to 100% random links to YouTube videos.
YouTube is an American video-sharing website headquartered in San Bruno, California. YouTube allows users to upload, view, rate, share, add to playlists, report, comment on videos, and subscribe to other users. It offers a wide variety of user-generated and corporate media videos. Available content includes video clips, TV show clips, music videos, short and documentary films, audio recordings, movie trailers, live streams, and other content such as video blogging, short original videos, and educational videos. Most content on YouTube is uploaded by individuals, but media corporations including CBS, the BBC, Vevo, and Hulu offer some of their material via YouTube as part of the YouTube partnership program. Unregistered users can only watch videos on the site, while registered users are permitted to upload an unlimited number of videos and add comments to videos. Videos deemed potentially inappropriate are available only to registered users affirming themselves to be at least 18 years old.
YouTube and selected creators earn advertising revenue from Google AdSense, a program which targets ads according to site content and audience. The vast majority of its videos are free to view, but there are exceptions, including subscription-based premium channels, film rentals, as well as YouTube Music and YouTube Premium, subscription services respectively offering premium and ad-free music streaming, and ad-free access to all content, including exclusive content commissioned from notable personalities. As of February 2017, there were more than 400 hours of content uploaded to YouTube each minute, and one billion hours of content being watched on YouTube every day. As of August 2018, the website is ranked as the second-most popular site in the world, according to Alexa Internet, just behind Google. As of May 2019, more than 500 hours of video content are uploaded to YouTube every minute.
YouTube has faced criticism over aspects of its operations, including its handling of copyrighted content contained within uploaded videos, its recommendation algorithms perpetuating videos that promote conspiracy theories and falsehoods, hosting videos ostensibly targeting children but containing violent and/or sexually suggestive content involving popular characters, videos of minors attracting pedophilic activities in their comment sections, and fluctuating policies on the types of content that is eligible to be monetized with advertising.