It took Richard Ridel six months of tinkering in his workshop to create this contraption–a mechanical Turing machine made out of wood. The silent video above shows how the machine works. But if you’re left hanging, wanting to know more, I’d recommend reading Ridel’s fifteen page paper where he carefully documents why he built the wooden Turing machine, and what pieces and steps went into the construction.
If this video prompts you to ask, what exactly is a Turing Machine?, also consider adding this short primer by philosopher Mark Jago to your media diet.
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You’ll recall, a few months ago, when Google made it possible for all of your Facebook friends to find their doppelgängers in art history. As so often with that particular company, the fun distraction came as the tip of a research-and-development-intensive iceberg, and they’ve revealed the next layer in the form of three artificial intelligence-driven experiments that allow us to navigate and find connections among huge swaths of visual culture with unprecedented ease.
Google’s new Art Palette, as explained in the video at the top of the post, allows you to search for works of art held in “collections from over 1500 cultural institutions,” not just by artist or movement or theme but by color palette.
You can specify a color set, take a picture with your phone’s camera to use the colors around you, or even go with a random set of five colors to take you to new artistic realms entirely.
Admittedly, scrolling through the hundreds of chromatically similar works of art from all throughout history and across the world can at first feel a little uncanny, like walking into one of those houses whose occupant has shelved their books by color. But a variety of promising uses will immediately come to mind, especially for those professionally involved in the aesthetic fields. Famously color-loving, art-inspired fashion designer Paul Smith, for instance, appears in another promotional video describing how he’d use Art Palette: he’d “start off with the colors that I’ve selected for that season, and then through the app look at those colors and see what gets thrown up.”
In collaboration with the Museum of Modern Art, Google’s Art Recognizer, the second of these experiments, uses machine learning to find particular works of art as they’ve variously appeared over decades and decades of exhibition. “We had recently launched 30,000 installation images online, all the way back to 1929,” says MoMA Digital Media Director Shannon Darrough in the video above. But since “those images didn’t contain any information about the actual works in them,” it presented the opportunity to use machine learning to train a system to recognize the works on display in the images, which, in the words of Google Arts and Culture Lab’s Freya Murray, “turned a repository of images into a searchable archive.”
The formidable photographic holdings of Life magazine, which documented human affairs with characteristically vivid photojournalism for a big chunk of the twentieth century, made for a similarly enticing trove of machine-learnable material. “Life magazine is one of the most iconic publications in history,” says Murray in the video above. “Life Tags is an experiment that organizes Life magazine’s archives into an interactive encyclopedia,” letting you browse by every tag from “Austin-Healey” to “Electronics” to “Livestock” to “Wrestling” and many more besides. Google’s investment in artificial intelligence has made the history of Life searchable. How much longer, one wonders, before it makes the history of life searchable?
Based in Seoul, Colin Marshall writes and broadcasts on cities and culture. His projects include the book The Stateless City: a Walk through 21st-Century Los Angeles and the video series The City in Cinema. Follow him on Twitter at @colinmarshall or on Facebook.
Typing programs demand some patience on the part of the student, and David Lynch Teaches Typing is no exception.
You’ve got 90 seconds to get acclimated to the cruddy floppy disc-era graphics and the cacophonous voice of your instructor, a dead ringer for FBI Deputy Director Gordon Cole, the hard-of-hearing character director David Lynch played on his seminal early 90s series, Twin Peaks.
Things perk up about a minute and a half in, when students are instructed to place their left ring fingers in an undulating bug to the left of their keyboards.
That second “in”? Not a typo (though you’ll notice plenty of no doubt intentional boo-boos in the teacher’s pre-programmed responses…)
One of our favorites is the Apple-esque name of the program’s retro computer, and we’ll wager that frequent Lynch collaborator, actor Kyle MacLachlan, would agree.
Another reference that has thus far eluded online gaming enthusiasts in their 20s is Mavis Beacon Teaches Typing. Take a peek below at what the virtual typing tutor’s graphics looked like around the time the original Twin Peaks aired to discover the creators of David Lynch Teaches Typing’s other inspiration.
David Lynch Teaches Typing is available for free download here. If you’re anxious that doing so might open you up to a technical bug of nightmarish proportions, stick with watching the play through at the top of the page.
Once reserved for rebels and outliers, tattoos have gone mainstream in the United States. According to recent surveys, 21% of all Americans now have at least one tattoo. And, among the 18–29 demographic, the number rises to 40%. If that number sounds high, just wait until tattoos go from being aesthetic statements to biomedical devices.
At Harvard and MIT, researchers have developed “smart tattoo ink” that can monitor changes in biological and health conditions, measuring, for example, when the blood sugar of a diabetic rises too high, or the hydration of an athlete falls too low. Pairing biosensitive inks with traditional tattoo designs, these smart tattoos could conceivably provide real-time feedback on a range of medical conditions. And also raise a number of ethical questions: what happens when your health information gets essentially worn on your sleeve, available for all to see?
To learn more about smart tattoos, watch the Harvard video above, and read the corresponding article in the Harvard Gazette.
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The most successful outlaws live by a code, and in many ways John Perry Barlow, founder of the Electronic Freedom Foundation, Wyoming rancher, and erstwhile songwriter for the Grateful Dead—who diedon Wednesday at the age of 70—was an archetypal American outlaw all of his life. He might have worn a white hat, so to speak, but he had no use for the government telling him what to do. And his charismatic defense of unfettered internet liberty inspired a new generation of hackers and activists, including a 12-year-old Aaron Swartz, who saw Barlow speak at his middle school and left the classroom changed.
Few people get to leave as lasting a legacy as Barlow, even had he not pioneered early cyberculture, penning the “Declaration of Independence of the Internet,” a techo-utopian document that continues to influence proponents of open access and free information. He introduced the Grateful Dead to Dr. Timothy Leary, under whose guidance Barlow began experimenting with LSD in college. His creative and personal relationship with the Dead’s Bob Weir stretches back to their high school days in Colorado, and he became an unofficial member of the band and its “junior lyricist,” as he put it (after Robert Hunter).
“John had a way of taking life’s most difficult things and framing them as challenges, therefore adventures,” wrote Weir in a succinctly poignant Twitter eulogy for his friend. We might think of Barlow’s code, which he laid out in a list he called the “25 Principles of Adult Behavior,” as a series of instructions for turning life’s difficulties into challenges, an adventurous reframing of what it means to grow up. For Barlow, that meant defying authority when it imposed arbitrary barriers and proprietary rules on the once-wild-open spaces of the internet.
But being a grown-up also meant accepting full responsibility for one’s behavior, life’s purpose, and the ethical treatment of oneself and others. See his list below, notable not so much for its originality but for its plainspoken reminder of the simple, shared wisdom that gets drowned in the assaultive noise of modern life. Such uncomplicated idealism was at the center of Perry’s life and work.
1. Be patient. No matter what. 2. Don’t badmouth: Assign responsibility, not blame. Say nothing of another you wouldn’t say to him. 3. Never assume the motives of others are, to them, less noble than yours are to you. 4. Expand your sense of the possible. 5. Don’t trouble yourself with matters you truly cannot change. 6. Expect no more of anyone than you can deliver yourself. 7. Tolerate ambiguity. 8. Laugh at yourself frequently. 9. Concern yourself with what is right rather than who is right. 10. Never forget that, no matter how certain, you might be wrong. 11. Give up blood sports. 12. Remember that your life belongs to others as well. Don’t risk it frivolously. 13. Never lie to anyone for any reason. (Lies of omission are sometimes exempt.) 14. Learn the needs of those around you and respect them. 15. Avoid the pursuit of happiness. Seek to define your mission and pursue that. 16. Reduce your use of the first personal pronoun. 17. Praise at least as often as you disparage. 18. Admit your errors freely and soon. 19. Become less suspicious of joy. 20. Understand humility. 21. Remember that love forgives everything. 22. Foster dignity. 23. Live memorably. 24. Love yourself. 25. Endure.
Barlow the “cowboy, poet, romantic, family man, philosopher, and ultimately, the bard of the digital revolution”—as Stephen Levy describes him at Wired—“became a great explainer” of the possibilities inherent in new media. He watched the internet become a far darker place than it had ever been in the 90s, a place where governments conduct cyberwars and impose censorship and barriers to access; where bad actors of all kinds manipulate, threaten, and intimidate.
But Barlow stood by his vision, of “a world that all may enter without privilege or prejudice accorded by race, economic power, military force, or station of birth… a world where anyone, anywhere may express his or her beliefs, no matter how singular, without fear of being coerced into silence or conformity.”
This may sound naïve, yet as Cindy Cohn writes in EFF’s obituary for its founder, Barlow “knew that new technology could create and empower evil as much as it could create and empower good. He made a conscious decision to move toward the latter.” His 25-point code urges us to do the same.
“Video,” as we now say on the internet, “or it didn’t happen,” articulating a principle to which the ever-forward-thinking National Aeronautics and Space Administration (NASA) has adhered for about 70 years now, starting with film in the time before the invention of video itself. Even setting aside the wonders of voyaging into outer space, NASA has done a few things right here on Earth that you wouldn’t believe unless you saw them with your own eyes. And now you easily can, thanks to the agency’s commitment to making the fruits of its research available to all on its YouTube Channel. Take for example this recently-uploaded collection of 400 historic flight videos.
Here we have just a sampling of the hundreds of videos available to all: the M2-F1, a prototype wingless aircraft, towed across a lakebed by a modified 1963 Pontiac Catalina convertible; a mid-1960s test of the Lunar Lander Research Vehicle, also known as the “flying bedstead,” that will surely remind long-memoried gamers of their many quarters lost to Atari’s Lunar Lander; a spin taken in the Mojave Desert, forty years later, by the Mars Exploration Rover; and, most explosively of all, a “controlled impact demonstration” of a Boeing 720 airliner full of crash-test dummies meant to test out a new type of “anti-misting kerosene” as well as a variety of other innovations designed to increase crash survivability.
These historic test videos were all shot back when the Armstrong Flight Research Center (re-named in 2014 for Neil Armstrong, whose legacy stands as a testament to the cumulative effectiveness of all these NASA tests) was known as the Hugh L. Dryden Flight Research Center: you can watch the 418 clips just from that era on this playlist.
Rest assured that the experimentation continues and that NASA still pushes the boundaries of aviation right here on Earth, a project continuously documented in the channel’s newest videos. As astonishing as we may find mankind’s forays up into the sky and beyond so far, the aviation engineer’s imagination, it seems, has only just gotten started.
Based in Seoul, Colin Marshall writes and broadcasts on cities and culture. His projects include the book The Stateless City: a Walk through 21st-Century Los Angeles and the video series The City in Cinema. Follow him on Twitter at @colinmarshall or on Facebook.
This week, the artificial intelligence community Botnik published a 2018 Coachella Lineup poster composed entirely of performer names generated by neural networks. It does get one wondering what the music of “Lil Hack,” “House of the Gavins,” or “Paper Cop” might sound like — or, given the direction of technology these days, how long it will take before another neural network can actually compose it. But why use AI to create yet another millennial-minded Coachella act, you might ask, when it could create another Johann Sebastian Bach?
“One form of music that Bach excelled in was a type of polyphonic hymn known as a chorale cantata,” says the MIT Technology Review. “The composer starts with a well-known tune which is sung by the soprano and then composes three harmonies sung by the alto, tenor, and bass voices.” Such compositions “have attracted computer scientists because the process of producing them is step-like and algorithmic. But doing this well is also hard because of the delicate interplay between harmony and melody.” Hence the fascination of the question of whether a computer could ever compose a truly Bach-like chorale.
The video at the top of the post offers a listening experience that points toward an answer. The minute-long piece you hear, and whose score you see, comes not from Bach himself, nor from any human Bach imitator, but from a neural network called DeepBach, a system developed by Gaetan Hadjeres and Francois Pachet at the Sony Computer Science Laboratories in Paris.
Like any such deep learning system, the more existing material it has to “learn” from, the more convincing a product it can produce on its own: just as Botnik’s network could learn from all the band names featured on Coachella posters since 1999, DeepBach could learn from the more than 300 short chorale compositions the real Bach wrote in his lifetime.
“About half the time,” says the MIT Technology Review, “these compositions fool human experts into thinking they were actually written by Bach.” But of course, this sort of artificial intelligence has a greater and more diverse potential than tricking its listeners, as other experiments at Sony CSL-Paris suggest: the AI-composed “Beatles” song “Daddy’s Car,” for instance, or the “Flow Machine” that re-interprets Beethoven’s “Ode to Joy” in the style of the Beatles, Take 6, and even electronic lounge music. But we won’t know the technology has matured until the day we find ourselves booking tickets for artificial intelligence-composed music festivals.
Based in Seoul, Colin Marshall writes and broadcasts on cities and culture. His projects include the book The Stateless City: a Walk through 21st-Century Los Angeles and the video series The City in Cinema. Follow him on Twitter at @colinmarshall or on Facebook.
In 2016, Reinhold Hanning, a former SS guard at the Auschwitz concentration camp, was tried and convicted for being an accessory to at least 170,000 deaths. In making their case, prosecutors did something novel–they relied on a virtual reality version of the Auschwitz concentration camp, which helped undermine Hanning’s claim that he wasn’t aware of what happened inside the camp. The virtual reality headset let viewers see the camp from almost any angle, and established that “Hanning would have seen the atrocities taking place all around him.”
The high-tech prosecution of Hanning gets well documented in “Nazi VR,” the short documentary above. It comes from MEL Films, and will be added to our collection of online documentaries.
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