Quick Buy Program For Tagged Pets Script' title='Quick Buy Program For Tagged Pets Script' />Inside Social. The biggest and latest apps and platforms, plus trends and insights on the biggest online discussions. The Sims 3 22 In 1 Download Bitdefender. RIP, Microsoft Paint. MS Paint, the first app you used for editing images, will probably be killed off in future updates of Windows 1. Paint 3. D. Microsoft lists the 3. Windows 1. 0s next autumn update, a little X marking the end of an era. The app is certainly a relic, from a time when the casual computer user couldnt crack open Photoshop or Skitch or Pixelmator or thousands of web apps. MS Paint cant save image components as layers or vectors its for making flat static images only. It doesnt smooth lines or guess at your best intentions. It does what you tell it and nothing more, faithfully representing the herky jerky motion of drawing freehand with a computer mouse. Its from a time before touch, a time before trackpads. Quick Buy Program For Tagged Pets ScriptureAs more sophisticated options appeared, Paints janky aesthetic became a conscious choice. Paint became the metonym for that aesthetic, even if an image was actually created in another app. TV Tropes lists major limitations that came to define a certain look the wobbly freehand lines, awkward color handling, and inappropriate export settings that give Paint its distinctive look. In 2. 01. 4, Gawkers Sam Biddle noted Paints influence on conspiracy theory images, calling the form Chart Brut. In amateur detectives attempts at identifying the Boston Marathon bombers, the simplicity and jaggedness of Paint evokes the crazy wall aesthetic of red string and scribbled notes, apparently without irony. The same year, internet historian Patrick Davison explored Paints influence on the last decade of meme culture, particularly Rage Comics. The outsider art aesthetic feels appropriate to the relatable everyday content, and makes the art form unthreatening. Of course, Paint offered a few features to smooth things out, like the circle and line tools and the fill tool, all used in the stoner comics of the early 1. Crucially, those circles still had jagged curves. The bright colors of stoner comics are flat, as MS Paint didnt support gradients without an elaborate hack. Contrast those pixellated lines with the slick, stylish face from this art tutorial This slickness is built into Paints successor, Paint 3. MS Paint, the first app you used for editing images, will probably be killed off in future updates of Windows 10, replaced by the new app Paint 3D. Microsoft lists. D. From the moment you start sketching, Paint 3. D smooths out your art. It also supports automatic selection tools and content aware fill to rival Photoshops. By automatically improving art, Paint 3. D hides the process behind the image. Paints sloppiness is probably why rage comics got so popular. Looking at a rage comic, you can tell exactly how it was drawn, and how you might draw one yourself. By delivering exactly what the artist draws, MS Paint forms an image that the viewer can mentally reverse engineer and imitate. Unless you go absolutely nuts with it. Reddit user Toweringhorizon painstakingly assembled the drawing To a Little Radio using MS Paint tools like the oil brush, stretching the medium while maintaining a pixelated look. Its one of the top submissions to MS Paint subreddit, a beautiful collaborative art gallery. Scrolling through this art feels like flipping through the sketchbook of the most artistic kid in high school. Theres an accepted roughness, a desired minimalism. Quick Buy Program For Tagged Pets Script HookFor example, the exquisite raindrops in the work above are reflected in a flat, featureless tabletop. Like a transistor radio, Paint might be showing its age, but this tenacious little gadget should not be underestimated. To a Little Radio doesnt even come close to testing Paints limits. As we say goodbye to the app that shaped an era, let us watch this bizarrely soundtracked time lapse of drawing Santa Claus in MS Paint on Windows 7 over the course of 5. We can only believe this is real because faking it would be even harder. 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. 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. 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.