technology

typography can save the world just kidding

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Google is engaged with one of the country’s largest health-care systems to collect and crunch the detailed personal health information of millions of Americans across 21 states.

The initiative, code-named “Project Nightingale,” appears to be the biggest in a series of efforts by Silicon Valley giants to gain access to personal health data and establish a toehold in the massive health-care industry. […] Google began the effort in secret last year with St. Louis-based Ascension, the second-largest health system in the U.S., with the data sharing accelerating since summer, the documents show.

The data involved in Project Nightingale encompasses lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, including patient names and dates of birth.

Neither patients nor doctors have been notified. At least 150 Google employees already have access to much of the data on tens of millions of patients, according to a person familiar with the matter and documents.

Some Ascension employees have raised questions about the way the data is being collected and shared, both from a technological and ethical perspective, according to the people familiar with the project. But privacy experts said it appeared to be permissible under federal law. That law, the Health Insurance Portability and Accountability Act of 1996, generally allows hospitals to share data with business partners without telling patients, as long as the information is used “only to help the covered entity carry out its health care functions.”

Google in this case is using the data, in part, to design new software, underpinned by advanced artificial intelligence and machine learning, that zeroes in on individual patients to suggest changes to their care.

{ Wall Street Journal | Continue reading }

oil on panel { Mark Ryden, Incarnation, 2009 | Work in progress of the intricate frame for Mark Ryden’s painting Incarnation }

on me voit, on me voit plus

Canada’s Hyperstealth Biotechnology has patented a new “Quantum Stealth” material that disguises a military’s soldiers — or even its tanks, aircraft, and ships — by making anything behind it seem invisible.

{ Futurism | Continue reading }

Dave, although you took very thorough precautions in the pod against my hearing you, I could see your lips move

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An artificial intelligence hiring system has become a powerful gatekeeper for some of America’s most prominent employers […]

Designed by the recruiting-technology firm HireVue, the system uses candidates’ computer or cellphone cameras to analyze their facial movements, word choice and speaking voice before ranking them against other applicants based on an automatically generated “employability” score. HireVue’s “AI-driven assessments” have become so pervasive in some industries, including hospitality and finance, that universities make special efforts to train students on how to look and speak for best results. More than 100 employers now use the system, including Hilton, Unilever and Goldman Sachs, and more than a million job seekers have been analyzed.

But some AI researchers argue the system is digital snake oil — an unfounded blend of superficial measurements and arbitrary number-crunching, unrooted in scientific fact.

{ Washington Post | Continue reading }

Loading the BRICKS from my FRONT YARD into a DUMPSTER because my neighbor TODD is a FUCKHEAD

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Oregon Senator Ron Wyden has unveiled updated privacy legislation he says will finally bring accountability to corporations that play fast and loose with your private data.

Dubbed the Mind Your Own Business Act, the bill promises consumers the ability to opt out of data collection and sale with a single click. It also demands that corporations be transparent as to how consumer data is collected, used, and who it’s sold to, while imposing harsh fines and prison sentences upon corporations and executives that misuse consumer data and lie about it. […]

“Mark Zuckerberg won’t take Americans’ privacy seriously unless he feels personal consequences,” Wyden said. “A slap on the wrist from the FTC won’t do the job, so under my bill he’d face jail time for lying to the government.”

{ Vice | Continue reading }

art { Nick Knight, Transhuman After All, VMAN, 2013 }

Dave, although you took very thorough precautions in the pod against my hearing you, I could see your lips move

Founded in 2004 by Peter Thiel and some fellow PayPal alumni, Palantir cut its teeth working for the Pentagon and the CIA in Afghanistan and Iraq. The company’s engineers and products don’t do any spying themselves; they’re more like a spy’s brain, collecting and analyzing information that’s fed in from the hands, eyes, nose, and ears. The software combs through disparate data sources—financial documents, airline reservations, cellphone records, social media postings—and searches for connections that human analysts might miss. It then presents the linkages in colorful, easy-to-interpret graphics that look like spider webs. U.S. spies and special forces loved it immediately; they deployed Palantir to synthesize and sort the blizzard of battlefield intelligence. It helped planners avoid roadside bombs, track insurgents for assassination, even hunt down Osama bin Laden. The military success led to federal contracts on the civilian side. The U.S. Department of Health and Human Services uses Palantir to detect Medicare fraud. The FBI uses it in criminal probes. The Department of Homeland Security deploys it to screen air travelers and keep tabs on immigrants.

Police and sheriff’s departments in New York, New Orleans, Chicago, and Los Angeles have also used it, frequently ensnaring in the digital dragnet people who aren’t suspected of committing any crime. People and objects pop up on the Palantir screen inside boxes connected to other boxes by radiating lines labeled with the relationship: “Colleague of,” “Lives with,” “Operator of [cell number],” “Owner of [vehicle],” “Sibling of,” even “Lover of.” If the authorities have a picture, the rest is easy. Tapping databases of driver’s license and ID photos, law enforcement agencies can now identify more than half the population of U.S. adults. […]

In March a former computer engineer for Cambridge Analytica, the political consulting firm that worked for Donald Trump’s 2016 presidential campaign, testified in the British Parliament that a Palantir employee had helped Cambridge Analytica use the personal data of up to 87 million Facebook users to develop psychographic profiles of individual voters. […] The employee, Palantir said, worked with Cambridge Analytica on his own time. […]

Legend has it that Stephen Cohen, one of Thiel’s co-founders, programmed the initial prototype for Palantir’s software in two weeks. It took years, however, to coax customers away from the longtime leader in the intelligence analytics market, a software company called I2 Inc.

In one adventure missing from the glowing accounts of Palantir’s early rise, I2 accused Palantir of misappropriating its intellectual property through a Florida shell company registered to the family of a Palantir executive. A company claiming to be a private eye firm had been licensing I2 software and development tools and spiriting them to Palantir for more than four years. I2 said the cutout was registered to the family of Shyam Sankar, Palantir’s director of business development.

I2 sued Palantir in federal court, alleging fraud, conspiracy, and copyright infringement. […] Palantir agreed to pay I2 about $10 million to settle the suit. […]

Sankar, Palantir employee No. 13 and now one of the company’s top executives, also showed up in another Palantir scandal: the company’s 2010 proposal for the U.S. Chamber of Commerce to run a secret sabotage campaign against the group’s liberal opponents. Hacked emails released by the group Anonymous indicated that Palantir and two other defense contractors pitched outside lawyers for the organization on a plan to snoop on the families of progressive activists, create fake identities to infiltrate left-leaning groups, scrape social media with bots, and plant false information with liberal groups to subsequently discredit them.

After the emails emerged in the press, Palantir offered an explanation similar to the one it provided in March for its U.K.-based employee’s assistance to Cambridge Analytica: It was the work of a single rogue employee.

{ Bloomberg | Continue reading }

Police databases now feature the faces of nearly half of Americans — most of whom have no idea their image is there

{ NY Times | full story }

‘Je ne parlerai pas, je ne penserai rien : mais l’amour infini me montera dans l’âme.’ —Rimbaud

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The ads you see online are based on the sites, searches, or Facebook posts that get your interest. Some rebels therefore throw a wrench into the machinery — by demonstrating phony interests.

“Every once in a while, I Google something completely nutty just to mess with their algorithm,” wrote Shaun Breidbart. “You’d be surprised what sort of coupons CVS prints for me on the bottom of my receipt. They are clearly confused about both my age and my gender.”

[…]

“You never want to tell Facebook where you were born and your date of birth. That’s 98 percent of someone stealing your identity! And don’t use a straight-on photo of yourself — like a passport photo, driver’s license, graduation photo — that someone can use on a fake ID.”

[…]

“Create a different email address for every service you use”

[…]

“Oh yeah — and don’t use Facebook.”

{ NY Times | Continue reading }

Miss Yiss, you fascinator, you

Japanese idol Ena Matsuoka was attacked outside her home last month after a fan figured out her address from selfies she posted on social media — just by zooming in on the reflection on her pupils.

The fan, Hibiki Sato, 26, managed to identify a bus stop and the surrounding scenery from the reflection on Matsuoka’s eyes and matched them to a street using Google Maps.

{ Asia One | Continue reading }

Tokyo Shimbun, a metropolitan daily, which reported on the stalking case, warned readers even casual selfies may show surrounding buildings that will allow people to identify the location of the photos.

It also said people shouldn’t make the V-sign with their hand, which Japanese often do in photos, because fingerprints could be stolen.

{ USA Today | Continue reading }

O weep for the hower when eve aleaves bower!

Starbucks plans to begin testing a new type of store that only takes orders via mobile app […] that’s more or less what’s happening right now at regular Starbucks stores: the company already accepts mobile orders, and has more than 16 million mobile users. The drawback is that those users crowd the stores and cause bottlenecks at peak times; in some outlets, the glut of mobile orders has gotten so bad that it’s discouraging walk-in customers. Thus, the mobile-only store model is presumably a response to problems already created by mobile ordering.

{ Bloomberg | Continue reading }

Or Culex feel etchy if Pulex don’t wake him?

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‘McDonald’s removed the mcrib from its menu so it could suck its own dick’ –@jaynooch

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iBorderCtrl is an AI based lie detector project funded by the European Union’s Horizon 2020. The tool will be used on people crossing borders of some European countries. It officially enables faster border control. It will be tested in Hungary, Greece and Letonia until August 2019 and should then be officially deployed.

The project will analyze facial micro-expressions to detect lies. We really have worries about such a project. For those who don’t have any knowledge on AI and CS, the idea of using a computer to detect lies can sound really good. Computers are believed to be totally objective.

But the AI community knows it is far from being true: biases are nearly omnipresent. We have no idea how the dataset used by iBorderCtrl has been built.

More globally, we have to remind that AI has no understanding of humans (to be honest, it has no understanding at all). It just starts being able to recognize the words we pronounce, but it doesn’t understand their meaning.

Lies rely on complex psychological mechanisms. Detecting them would require a lot more than a simple literal understanding. Trying to detect them using some key facial expressions looks utopian, especially as facial expressions can vary from a culture to another one. As an example, nodding the head usually means “yes” in western world, but it means “no” in countries such as Greece, Bulgaria and Turkey.

{ ActuIA | Continue reading }

The ‘iBorderCtrl’ AI system uses a variety of ‘at home’ pre-registration systems and real time ‘at the airport’ automatic deception detection systems. Some of the critical methods used in automated deception detection are that of micro-expressions. In this opinion article, we argue that considering the state of the psychological sciences current understanding of micro-expressions and their associations with deception, such in vivo testing is naïve and misinformed. We consider the lack of empirical research that supports the use of micro-expressions in the detection of deception and question the current understanding of the validity of specific cues to deception. With such unclear definitive and reliable cues to deception, we question the validity of using artificial intelligence that includes cues to deception, which have no current empirical support.

{ Security Journal | Continue reading }

Can’t hear with the waters of. The chittering waters of. Flittering bats, fieldmice bawk talk.

The U.S. government is in the midst of forcing a standoff with China over the global deployment of Huawei’s 5G wireless networks around the world. […] This conflict is perhaps the clearest acknowledgement we’re likely to see that our own government knows how much control of communications networks really matters, and our inability to secure communications on these networks could really hurt us.

{ Cryptography Engineering | Continue reading }

related { Why Controlling 5G Could Mean Controlling the World }

Desire, for hire, would tire a shire, phone, phunkel, or wire

When the world’s first cellular network was installed in Washington, D.C., in 1983, Gatt and Rwayitare knew instinctively that cellular could solve many of Africa’s communication problems. […] “How do you educate a government on what cellular is all about?” asked Gatt. […] You hand him a mobile phone and get him to call home, of course. […]

On an official state visit to the United States, Zairean President Mobutu Sese Seko was handed a Motorola mobile phone and urged to call home. It was 1985, so he had to be persuaded that the device — which weighed as much as a bottle of wine and boasted a retractable antenna — was not a walkie-talkie. But once he’d spoken to his family in Kinshasa, he needed no further convincing. Joseph Gatt and Miko Rwayitare’s plan was coming together.

Telecel, the company they formally founded a year later, would soon have 3,000 subscribers in Zaire (now the Democratic Republic of Congo) — well before mobile phones were ubiquitous in America. Zaire’s near-defunct fixed-line infrastructure meant that the country’s elite were willing to spend $5,000 on a handset and up to $16 per minute to remain connected. […]

Despite being impressed, the dictator — like most people in 1985 — hadn’t fully grasped how life-changing the technology would be and he initially refused to grant Telecel an operating license. Gatt and Rwayitare knew they were onto a good thing, however, so they used their life savings to purchase an ailing U.S. mobile technology firm and obtained finance from Motorola to erect a small system in Kinshasa. All that remained was to buy a couple of hundred handsets — at $3,000 a pop — and give them to Mobutu and his inner circle.

“These 200 Zairean officials called each other and overseas over the next year without paying for a single call.” […] At the end of the trial period, and faced with the prospect of losing what had now become an essential cog in the state machinery, Mobutu agreed to give them their license.

{ OZY | Continue reading }

the head of a human and the body of a lion

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Google has reportedly built a quantum computer more powerful than the world’s top supercomputers. A Google research paper was temporarily posted online this week, the Financial Times reported Friday, and said the quantum computer’s processor allowed a calculation to be performed in just over 3 minutes. That calculation would take 10,000 years on IBM’s Summit, the world’s most powerful commercial computer, Google reportedly said.

Google researchers are throwing around the term “quantum supremacy” as a result, the FT said, because their computer can solve tasks that can’t otherwise be solved. “To our knowledge, this experiment marks the first computation that can only be performed on a quantum processor,” the research paper reportedly said.

{ CNet | Continue reading }

photo { The Sphynx of Gizeh before excavation, photo taken by balloon, 1871 }

Lee Jun-fan (November 27, 1940 – July 20, 1973), known professionally as Bruce Lee

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of course there is no behind the scenes, no real self, no authenticity, etc. just a precession of simulacra; influencers sort of serve the same function Baudrillard thought Disneyland served: to make everyone else feel “authentic”

{ Rob Horning }

‘They muddy the water, to make it seem deep.’ –Nietzsche

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We are connecting everything to everything.

[…]

In the network economy the winner-take-all behavior of Hollywood hit movies will become the norm for most products—even bulky manufactured items. Oil wells are financed this way now; a few big gushers pay for the many dry wells. You try a whole bunch of ideas with no foreknowledge of which ones will work. Your only certainty is that each idea will either soar or flop, with little in between. A few high-scoring hits have to pay for all the many flops. This lotterylike economic model is an anathema to industrialists, but that’s how network economies work. There is much to learn from long-term survivors in existing hits-oriented business (such as music and books). They know you need to keep trying lots of things and that you don’t try to predict the hits, because you can’t.

Two economists proved that hits—at least in show biz—were unpredictable. They plotted sales of first-run movies between May 1985 and January 1986 and discovered that “the only reliable predictor of a film’s box office was its performance the previous week. Nothing else seemed to matter—not the genre of the film, not its cast, not its budget.” The higher it was last week, the more likely it will be high this week— an increasing returns loop fed by word of mouth recommendations. The economists, Art De Vany and David Walls, claim these results mirror a heavy duty physics equation known as the Bose-Einstein distribution. The fact that the only variable that influenced the result was the result from the week before, means, they say, that “the film industry is a complex adaptive system poised between order and chaos.” In other words, it follows the logic of the net: increasing returns and persistent disequilibrium.

[…]

Because prices move inexorably toward the free, the best move in the network economy is to anticipate this cheapness.

{ Kevin Kelly, New Rules for the New Economy, 1998 | PDF | More: Wired }

Surveiller et punir

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Paul Hildreth peered at a display of dozens of images from security cameras surveying his Atlanta school district and settled on one showing a woman in a bright yellow shirt walking a hallway.

A mouse click instructed the artificial-intelligence-equipped system to find other images of the woman, and it immediately stitched them into a video narrative of her immediate location, where she had been and where she was going.

There was no threat, but Hildreth’s demonstration showed what’s possible with AI-powered cameras. If a gunman were in one of his schools, the cameras could quickly identify the shooter’s location and movements, allowing police to end the threat as soon as possible, said Hildreth, emergency operations coordinator for Fulton County Schools.

AI is transforming surveillance cameras from passive sentries into active observers that can identify people, suspicious behavior and guns, amassing large amounts of data that help them learn over time to recognize mannerisms, gait and dress. If the cameras have a previously captured image of someone who is banned from a building, the system can immediately alert officials if the person returns.

{ LA Times | Continue reading }

installation sketch { ecstasy, 2018 }

In the end, Decalogue VI seems less interested in labeling its characters than in recognizing that sex — no matter how casual — still carries a psychological/spiritual weight

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The team say that sextortion emails demanding cryptocurrency payment first appeared in 2018. The scammers send their emails via botnets, such as Necurs or Cutwail. These are global networks of computers infected with malware that send out spam on demand.

This is offered as a service on the dark net. Various researchers have shown that spammers pay botnet owners between $100 and $500 to send a million spam emails. They can even rent botnets at a cost of $10,000 per month, which allows them to send 100 million spam messages. […]

Back in 2008, one group of cyber-crime experts infiltrated a botnet for 26 days and monitored spammers sending 350 million emails for a pharmaceutical product. The result was 28 sales. This generated a revenue of $2,732, which corresponds to a conversion rate of just 0.00001%. Nevertheless, the experts concluded that by using additional botnets, spammers could generate around $9,500 per day which adds up to $3.5 million per year.

Sextortion has the potential to be much more profitable, say Paquet-Clouston and co. The reason is that it does not require the spammers to host any kind of e-commerce website, or to procure, store, and ship products of any kind. And cryptocurrency payments are simpler than bank payments and do not require the involvement of a friendly bank.

{ Technology Review | Continue reading }

oil on canvas { Caleb Brown, Sports Explosion, 2009 }

‘The weak and ill-constituted shall perish: first principle of our philanthropy. And one shall help them to do so.’ –Nietzsche

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Tesla is a car company whose stock trades like a tech company. Tesla might sell 400,000 cars this year. By contrast, Ford might sell 6 million, GM 8.5 million. Granted, the Tesla Model 3 looks and drives like a dream. But when you count salaries and overhead according to Tesla’s own quarterly statements, it costs more to make a Tesla than people are willing to pay for it. And that calculus includes the federal subsidies that will dry up on December 31 of this year. Ford is worth $35 billion and makes money on its cars. Tesla is worth $40 billion and doesn’t. How is this math possible?

Tesla’s stock trades at such a large multiple of its revenue because Musk has convinced shareholders that it’s not a car company, but an artificial-intelligence company that happens to use a fleet of 500,000 cars to collect and label data. It’s a clever sleight-of-hand, but it’s not fooling those who matter. As a fund manager on Wall Street once told me, “You’re not a hedge-fund manager until you’ve shorted Tesla at least once.” […]

We estimate that ninety percent of the startups in the autonomous-vehicle space today will not exist in five years. […] The big crunch is coming because, over the next year, all the major auto and trucking companies will decide on who will be the suppliers for their main production lines in 2022. This won’t be for full self-driving, but for something a little more modest if still vitally important: a car so safe it is incapable of crashing.

{ National Review | Continue reading }

‘No, everything stays, doesn’t it? Everything.’ –Flaubert

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Before you hand over your number, ask yourself: Is it worth the risk? […]

Your phone number may have now become an even stronger identifier than your full name. I recently found this out firsthand when I asked Fyde, a mobile security firm in Palo Alto, Calif., to use my digits to demonstrate the potential risks of sharing a phone number.

He quickly plugged my cellphone number into a public records directory. Soon, he had a full dossier on me — including my name and birth date, my address, the property taxes I pay and the names of members of my family.

From there, it could have easily gotten worse. Mr. Tezisci could have used that information to try to answer security questions to break into my online accounts. Or he could have targeted my family and me with sophisticated phishing attacks.

{ NY Times | Continue reading }

image { Bell telephone magazine, March/April 1971 }