Chris Veltri, proprietor of San Francisco's legendary Groove Merchant record shop, posted this astounding artifact to his Instagram wunderkammer of outré culture paper ephemera @collagedropoutsf! It's a poster for a lecture by artificial intelligence pioneer Herbert Simon that took place at UC Berkeley in 1974. The speech was titled "How Man and Computers Understand Language."
Far fucking out.
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James Mickens (previously) has a well-deserved reputation for being the information security world's funniest speaker, and if that were all he did, he would still be worth listening to.
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The theme of this year's Burning Man is I, Robot, which focuses "on the many forms of artificial intelligence that permeate our lives..." So, naturally, someone trained a neural network to come up with some camp names.
It spit out believable names like Spankles, Astro Sparkin, and Space Rock Screamin Camp, as well as weirder names like Corn Viral Hammers, Wiq Renames Spaghette, and Hellball Lounge. Then it went with some truly bizarre ones like Cohnie Stacefur Ass Chaos, Sir Liberains the Wreck Middle, and Awes Orpoop.
The woman behind the experiment, research scientist Janelle Shane, writes:
Thanks to an anonymous burner, I had a list of 1593 past Burning Man camps to feed to a neural network. A neural network is a kind of machine learning algorithm that learns to imitate the data it sees. My starting point was a textgen-rnn neural net that had been previously trained on metal bands and roller derby names, so it had a few ideas of its own to bring to the table. It did not disappoint.
There's a bunch more of these machine-learned camp names over at Shane's site.
Let's hope life imitates art and some Burners out there actually create one (or more) of these camps this year on the playa!
Image via simon of the playa
Thanks, Dan S.! Read the rest
The always entertaining and inspiring YouTuber Code Bullet decided to build a 2048-playing AI from scratch. It's really interesting to see him also build 2048 as part of the process. Read the rest
In the current acquisition binge around artificial intelligence, tech behemoths with deep pockets lead the way, including Google, Apple, Facebook, Amazon, Intel, Microsoft, Twitter, and Salesforce. The only one with a limited consumer-facing presence is social monitoring firm Meltwater. Read the rest
Social rating site Klout saw where society was heading with influencer marketing, but like many bad ideas that were a little ahead of their time, Klout will not live on to see the devastation they helped usher in. Read the rest
A group of scientists from Intel and the University of Illinois at Urbana–Champaign have published a paper called Learning to See in the Dark detailing a powerful machine-learning based image processing technique that allows regular cameras to take super-sharp pictures in very low light, without long exposures or the kinds of graininess associated with low-light photography.
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Austrian researcher Károly Zsolnai-Fehér from Two Minute Papers presents four examples of AI finding loopholes that programmers had not anticipated. Read the rest
Tacotron 2 is Google's new text-to-speech system, and as heard in the samples below, it sounds indistinguishable from humans.
The system is Google’s second official generation of the technology, which consists of two deep neural networks. The first network translates the text into a spectrogram (pdf), a visual way to represent audio frequencies over time. That spectrogram is then fed into WaveNet, a system from Alphabet’s AI research lab DeepMind, which reads the chart and generates the corresponding audio elements accordingly.
Tacotron 2 or Human?
In the following examples, one is generated by Tacotron 2, and one is the recording of a human, but which is which?
“That girl did a video about Star Wars lipstick.”
“She earned a doctorate in sociology at Columbia University.”
“George Washington was the first President of the United States.”
“I'm too busy for romance.”
Soundwave image by T-flex/Shutterstock. Read the rest
Rodney Brooks is the father of the Roomba, the founder of iRobot, and the creator of both the Baxter and Sawyer product lines from Rethink Robotics. He’s arguably the world’s most accomplished roboticist. And if he’s not – and I personally can’t think of who could challenge him for that crown – he’s definitely the top roboticist to be profiled in an Errol Morris documentary (1997’s Fast, Cheap, and Out of Control).
When Rodney left Australia for the region that would later become known as Silicon Valley, there were quite literally 3 mobile robots of consequence on the entire planet. Years later, he founded a company which has since brought tens of millions of these critters into the world. His products have saved countless lives. They have also liberated thousands of acres of carpeting from dust crumbs, dog hair, and other detritus.
Amazingly, Rodney’s tenure and credentials are every bit as significant in a second high tech field: artificial intelligence. He founded the leading developer of AI coding tools throughout the 80s and early 90s. And somehow he squeezed his robotics and AI entrepreneurship in while building a storied academic career – largely at MIT, where he spent a decade running one of the two largest and most prominent AI centers in the world.
Rodney is my guest in this week's edition of the After on Podcast. You can listen to our interview by searching “After On” in your favorite podcast app, or by clicking right here:
As you’ll hear, Rodney diverges from fashionable narratives on several tech-related topics. Read the rest
A loud experimental band from Monaco named Hardcore Anal Hydrogen enlisted the aid of artificial intelligence to generate the trippy, psychedelic visuals used in their music video for the track, "Jean-Pierre."
On their site, the band details the ins and outs of how they manipulated Google Deep Dream, Neutral Style Transfer, and DeepFlow to get these results:
How the AI...works seems complicated but it's not. There are 2 main steps : training, then exploiting. It's the same thing than learning an object to someone, let's say a chair. You show him many pictures of differents chairs. Then after learning it, when he'll see a chair, he'll be able to answer "it's a chair", even if it's a new one he's never saw.
Turn down the volume and open your eyes and minds.
(The Awesomer) Read the rest
Film critic Allison de Fren examines some of the complex issues raised in the 2015 Ex Machina. Her voiceover alone makes it worth it, but the insights about how women are depicted helped me get over some of my discomfort with the film's themes. Read the rest
If you teach an artificial intelligence a bunch of lullabies, will the resulting AI-generated lullaby make you dream of electric sheep? Read the rest
Single image super-resolution (SISR) is an emerging technology that uses automated texture synthesis to enhance dithered and blurry photos to nearly pristine resolution. This example from EnhanceNet-PAT shows one type. There's even a free website called Let's Enhance where you can up-res your own images. Read the rest
A generative adversarial network (GAN) combines two neural networks engaged in a zero-sum competition. The result is a form of unsupervised machine learning that can produce imaginary celebrities like the ones shown in this one-hour video. Read the rest
Google's AI scored more than twice as high as Apple's Siri in a comparative analysis designed to assess AI threat. Read the rest
To hear a wide-ranging interview about the real-world risks we humans could face from a rogue superintelligence, hit play, below. My guest is author and documentary filmmaker James Barrat. Barrat’s 2014 book Our Final Invention was the gateway drug that ushered me into the narcotic realm of contemplating super AI risk. So it’s on first-hand authority that I urge you to jump in – the water’s great!
This is the seventh episode of my podcast series (co-hosted by Tom Merritt), which launched here on Boing Boing last month. The series goes deep into the science, tech, and sociological issues explored in my novel After On – but no familiarity with the novel is necessary to listen to it.
The danger of artificial consciousness has a noble pedigree in science fiction. In most minds, its wellspring is 2001: A Space Odyssey, which features HAL 9000 – an onboard computer that decides to kill off its passengers before they can disconnect it (spoiler: HAL’s rookie season ends – rather abruptly – with a 1-1 record).
James’s interest in this subject was piqued when he interviewed 2001’s author, Arthur C. Clarke, back in the pertinent year of 2001. Clarke’s concerns about superintelligence went beyond the confines of fiction. And he expressed them cogently enough to freak James out to this day.
Among James’s worries is that Hollywood has inoculated many of us from taking super AIs seriously by depicting them so preposterously. “Imagine if the Centers for Disease Control issued a serious warning about vampires,” he notes. Read the rest