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My laptop background is always this…

or this…

or this…

Microsoft went in a very different direction in 2001 when choosing the image for its Windows XP background, purchasing a calm, bucolic image from photographer Charles O’Rear, who couldn’t have imagined when he shot the scene several years earlier that his work would soon be viewed by a billion people globally. The picture was perfect for a new computer, a painterly tableau that’s wide open, inviting yet seemingly unfinished, urging the user to “complete” the work.

As a smart Artsy article by Abigail Cain reveals, the company paid the “second-largest sum ever to a living photographer for a single photograph, topped only by an image of Bill Clinton hugging Monica Lewinsky.” The writer also fills in the blanks of how the image came to be, which required, among other things, an accident of nature that for a brief spell altered the now-famous landscape.

The opening:

Microsoft has an insect infestation to thank for its classic Windows XP desktop background—an image that has graced at least a billion computer screens since the system’s 2001 launch.

Napa Valley spent most of the 1990s trying desperately to curb the spread of phylloxera, a microscopic pest that was devastating its grapes. By the time the epidemic had run its course in 1999, some 50,000 acres of fields had been decimated.

Although the cost for growers was astronomical—half a billion dollars in total—the landscape of Northern California had never looked more idyllic. Endless rows of grapevines had been replaced by a lush carpet of grass, dotted here and there with wildflowers.

It was this vision of Sonoma County that flashed by Charles O’Rear’s car window as he drove down Highway 121 in 1998. Although he was a professional photographer, with work featured in National Geographic and the Los Angeles Times, O’Rear wasn’t on assignment that Friday afternoon. Instead, he was headed to visit his then-girlfriend (now-wife) near San Francisco.

But he still had one eye on the region’s rolling hills. It was January, and after the winter rains, “the grasses turn green and I know the chances of finding these beautiful hillsides are really good,” he recalled. “I’m going to be more prepared. I’m going to be more alert.”

And then, he saw it. “My God!” he thought. “The grass is perfect! It’s green! The sun is out, there’s some clouds.’”

So he stopped his car, pulled out his medium-format camera, and took a few photos using color Fujifilm. Those brilliant greens and pure blues were totally unedited when O’Rear uploaded them to Corbis, a stock photo and image licensing site founded by Bill Gates. A few years later, he got a call from Microsoft asking to use his shot of Sonoma County as the default background for its newest operating system.•

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Speaking of technologies that were amazing but slow to slay the market, the phonograph was initially disappointing commercially, even if Thomas Edison was something of a smash when he (remotely) demonstrated his “talking machine” in England in 1888. It was a forerunner for later jaw-dropping demos by Edwin H. Land, Douglas Engelbart and Steve Jobs. An article in the August 15 New York Times of that year reported that “Edison” awed London society.

Thomas A. Edison was given a very handsome reception this afternoon by Col. Gourand at his beautiful villa, Little Menlo, at Upper Norwood, in Surrey. A large number of ladies and gentlemen gathered there to meet the distinguished inventor of America. The reception included a dinner, lasting from 3 o’clock to 8 o’clock. Under the inspiring influence of popular appreciation Mr. Edison made a speech, in which he dwelt first upon his first visit to England, 18 years ago, and then devoted himself to a humorous criticism of English politics and climate. He then proceeded to amaze the company by reciting ‘Bingen on the Rhine,’ and winding up with a most extraordinary whistling spasm. Then he sang a funeral march, and without waiting for an encore gave ‘Mary had a little lamb.’ He told funny stories, and, in fact, conducted quite a variety entertainment all by himself. Mr. Edison was not entirely present, but he was not entirely absent, and the perplexity of the company over the human voice and its absent owner, 3,000 miles away, was very great.

Mrs. Alice Shaw, who has quite conquered London, whistled for the perfected phonograph, and it whistled back quite as brilliantly as she did. A large number of the guests were presented to Mr. Edison via the phonograph, each making a short speech to him suitable to the occasion. When the company was breaking up three rousing cheers were given for Edison, with a tiger and long clapping of hands. The effect, when the cheers and applause were repeated a moment later, was funny in the extreme. All the introductions, whistling solos, British cheers, &c., dryly recorded on the wax cylinders, will be taken to America by Mr. W. H. Crane of ‘The Henrietta.’ When they arrive Mr Edison will find that he has a lot of acquaintances who know him very well by voice but not by sight. The reception was an exceedingly novel one, and the new machines, with their perfect articulation, excited wonder, reaching in many cases to amazement.•

One enterprising nineteenth-century Brooklyn undertaker, however, found a novel use for the new contraption during the funeral of young freak-show performer, Augusta “Fat Baby” Burr. An article in the August 18, 1895 Brooklyn Daily Eagle described the unconventional ceremony.

The knock on Apple in the post-Jobs era (from me included) has been the lack of new products, the company becoming wealthier mainly from extending the popularity of its iPhone into the Chinese market. It doesn’t seem like that growth can continue, except if Apple can successfully integrate that technology very deeply into society. That’s what Tim Cook hopes will result from sizable investments in AI and AR and other next-level tools, dreaming of a product well beyond Google Glass, less obtrusive and more connected, and far more wide-reaching than the Echo sitting on your coffee table. It will be ambient and ubiquitous.

In an excellent WSJ column, Christopher Mims considers this future, asserting that its ETA may be as little as a decade away, with super-powerful microprocessors and the Internet of Things playing key roles. There is a catch, however. “If you want your life enhanced by AI and all the rest of this tech,” he warns, “you’re going to have to submit to constant surveillance.” My problem is this: I don’t think individuals will ultimately be able to opt out, to hit the OFF switch. These technologies will tentacle into every corner of our lives. You won’t be able to avoid them, and that probably will be acceptable to the majority, who’ve already been willing to cede a good chunk of their privacy for a few “friends.” But just because a lot of people crave something doesn’t mean it’s good for them.

From Mims:

It’s 2027, and you’re walking down the street, confident you’ll arrive at your destination even though you don’t know where it is. You may not even remember why your device is telling you to go there.

There’s a voice in your ear giving you turn-by-turn directions and, in between, prepping you for this meeting. Oh, right, you’re supposed to be interviewing a dog whisperer for your pet-psychiatry business. You arrive at the coffee shop, look around quizzically, and a woman you don’t recognize approaches. A display only you can see highlights her face and prints her name next to it in crisp block lettering, Terminator-style. Afterward, you’ll get an automatically generated transcript of everything the two of you said.

As the iPhone this week marks the 10th anniversary of its first sale, it remains one of the most successful consumer products in history. But by the time it celebrates its 20th anniversary, the “phone” concept will be entirely uprooted: That dog-whisperer scenario will be brought to you even if you don’t have an iPhone in your pocket.

Sure, Apple may still sell a glossy rectangle. (At that point, iPhones may also be thin and foldable, or roll up into scrolls like ancient papyri.) But the suite of apps and services that is today centered around the physical iPhone will have migrated to other, more convenient and equally capable devices—a “body area network” of computers, batteries and sensors residing on our wrists, in our ears, on our faces and who knows where else. We’ll find ourselves leaving the iPhone behind more and more often.

Trying to predict where technology will be in a decade may be a fool’s errand, but how often do we get to tie up so many emerging trends in a neat package?•

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A decade ago, Freeman Dyson wrote “Our Biotech Future” for New York Review of Books, envisioning a not-so-far-off time when garages wouldn’t be hatching just start-ups but new life forms. He said this:

Domesticated biotechnology, once it gets into the hands of housewives and children, will give us an explosion of diversity of new living creatures, rather than the monoculture crops that the big corporations prefer. New lineages will proliferate to replace those that monoculture farming and deforestation have destroyed. Designing genomes will be a personal thing, a new art form as creative as painting or sculpture.

Few of the new creations will be masterpieces, but a great many will bring joy to their creators and variety to our fauna and flora. The final step in the domestication of biotechnology will be biotech games, designed like computer games for children down to kindergarten age but played with real eggs and seeds rather than with images on a screen. Playing such games, kids will acquire an intimate feeling for the organisms that they are growing. The winner could be the kid whose seed grows the prickliest cactus, or the kid whose egg hatches the cutest dinosaur. These games will be messy and possibly dangerous. Rules and regulations will be needed to make sure that our kids do not endanger themselves and others. The dangers of biotechnology are real and serious.

If domestication of biotechnology is the wave of the future, five important questions need to be answered. First, can it be stopped? Second, ought it to be stopped? Third, if stopping it is either impossible or undesirable, what are the appropriate limits that our society must impose on it? Fourth, how should the limits be decided? Fifth, how should the limits be enforced, nationally and internationally? I do not attempt to answer these questions here. I leave it to our children and grandchildren to supply the answers.•

In the ten years since, we haven’t gotten to the point of “domesticated biotechnology” on a wide scale, but CRISPR technology has now brought the possibilities at least to the laboratory. This new tool means that our genetic “encyclopedia” can not only be read but edited, reordered, erased. Not being an expert on the topic, I would assume such a process will have obstacles, at least initially, which may slow its progress, but it provides a new path forward, and regardless of what we may declare, it’s one we will head down sooner than later. Competition among nations almost demands a brisk walk–a headlong rush.

What awaits us at the other end? Even if we’re very careful–not a default human trait, especially with a process that will be decentralized–there will be immensely thorny ethical questions to be addressed. Never before has a system promised so much good and ill simultaneously. It may mean freedom from crippling illness and the emergence of a new type of mass terrorism–genocide, even. Days of miracle and wonders, indeed.

The NYRB has since revisited the topic many times, including the latest issue’s smart piece by zoologist Matthew Cobb, which reviews a slate of new titles on the topic, including A Crack in Creation, co-authored by Jennifer Doudna and Samuel H. Sternberg, which I mentioned last week. “We cannot unlearn what we have discovered,” the critic acknowledges, before suggesting some preemptive strikes against science run amok which may or may not prove adequate should we act on them.

An excerpt:

The possibilities of CRISPR are immense. If you know a DNA sequence from a given organism, you can chop it up, delete it, and change it at will, much like what a word-processing program can do with texts. You can even use CRISPR to introduce additional control elements—for example to engineer a gene so that it is activated by light stimulation. In experimental organisms this can provide an extraordinary degree of control in studies of gene function, enabling scientists to explore the consequences of gene expression at a particular moment in the organism’s life or in a particular environment.

There appear to be few limits to how CRISPR might be used. One is technical: it can be difficult to deliver the specially constructed CRISPR DNA sequences to specific cells in order to change their genes. But a larger and more intractable concern is ethical: Where and when should this technology be used? In 2016, the power of gene editing and the relative ease of its application led James Clapper, President Obama’s director of national intelligence, to describe CRISPRas a weapon of mass destruction. Well-meaning biohackers are already selling kits over the Internet that enable anyone with high school biology to edit the genes of bacteria. The plotline of a techno-thriller may be writing itself in real time. …

Already in the early days of her research, Doudna seems to have been haunted by the implications of her work—she describes a disturbing dream in which Hitler keenly asked her to explain the technique to him. Over the last couple of years, following meetings with patients suffering from genetic diseases, Doudna has shifted her position, and now feels that it would be unethical to legally forbid a family to, say, remove a defective portion of the gene that causes Huntington’s disease from an embryo, which otherwise would grow into an adult doomed to a horrible death.

Like many scientists and the vast majority of the general public, Doudna remains hostile to changing the germline in an attempt to make humans smarter, more beautiful, or stronger, but she recognizes that it is extremely difficult to draw a line between remedial action and enhancement. Reassuringly, both A Crack in Creation and DNA Is Not Destiny show that these eugenic fantasies will not succeed—such characteristics are highly complex, and to the extent that they have a genetic component, it is encoded by a large number of genes each of which has a very small effect, and which interact in unknown ways. We are not on the verge of the creation of a CRISPR master race.

Nevertheless, Doudna does accept that there is a danger that the new technology will “transcribe our societies’ financial inequality into our genetic code,” as the rich will be able to use it to enhance their offspring while the poor will not. Unfortunately, her only solution is to suggest that we should start planning for international guidelines governing germline gene editing, with researchers and lawmakers (the public are not mentioned) encouraged to find “the right balance between regulation and freedom.”•

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Muammar Gaddafi got exactly what he deserved, but so few do.

Wernher von Braun, Nazi scientist, warranted a hanging for his crimes against humanity, but he had a talent considered crucial during the early stages of the Cold War, so his past was whitewashed, and he was installed as the leader of NASA’s space program, ultimately becoming something of an American hero. So very, very unfair.

But his horrific past in Germany bled over into his new one in the U.S. in his early ’50s plan to send a “baby satellite” into space for two months with a crew of three rhesus monkeys. The mission completed, the rocket would burn up as it reentered the atmosphere. To save the primates from the pain of an inferno, Braun wanted to create an automatic switch which would gas the monkeys to death–yes, a gas chamber in space. “The monkeys will die instantly and painlessly,” he wrote in a 1952 Collier’s article he co-authored with Cornelius Ryan. It’s the damndest thing.

The article:

WE ARE at the threshold today of our first bold venture into space. Scientists and engineers working toward man’s exploration of the great new frontier know now that they are going to send aloft a robot laboratory as the first step—a baby space station which for 60 days will circle the earth at an altitude of 200 miles and a speed of 17,200 miles an hour, serving as scout for the human pioneers to follow.

We rocket engineers have learned a lot about space by shooting off the high-flying rockets now in existence—so much that right now we know how to build the rocket ships and the big space station we need to put man into space and keep him there comfortably. We know how to train space crews and how to protect them from the hazards which exist above our atmosphere. All that has been reported in previous issues of Collier’s.

But the rockets which have gathered our data have stayed in space for only a few minutes at a time. The baby satellite will give us 60 days; we’ll learn more in those two months than in 10 years of firing the present instrument rockets.

We can begin work on the new space vehicle immediately. The baby satellite will look like a 30-foot ice-cream cone, topped by a cross of curved mirrors which draw power from the sun. Its tapered casing will contain a complicated maze of measuring instruments, pressure gauges, thermometers, microphones and Geiger counters, all hooked up to a network of radio, radar and television transmitters which will keep watchers on earth informed about what’s going on inside it.

Speeding 30 times faster than today’s best jets, the little satellite will make one circuit around the earth every 91 minutes—nearly 16 round trips a day. At dawn and dusk it will be visible to the naked eye as a bright, unwinking star, reflecting the sun’s rays and traveling from horizon to horizon in about seven minutes. Ninety-one minutes later, it completes the circuit—but if you look for it in the same place, it won’t be there: it travels in a fixed orbit, while the earth, rotating on its own axis, moves under it. An hour and a half from the time you first sighted the speeding robot, it will pass over the earth hundreds of miles to the west. The cone will never be visible in the dark of night, because it will be in the shadow of the earth.

If you live in Philadelphia, one morning you may see the satellite overhead just before sunup, moving on a southeasterly course. Ninety-one minutes later, as dawn breaks over Wichita, Kansas, people there will see it, and after another hour and a half it will be visible over Los Angeles—again, just before the break of dawn.

That evening, Philadelphians—and the people of Wichita and Los Angeles—will see the speeding satellite again, this time traveling in a northeasterly direction. The following morning, it will be in sight again over the same cities, at about the same time, a little farther to the west.

After about ten days, it will no longer appear over those three cities, but will be visible over other areas. Thus, from any one site, it will be seen on successive occasions for about 20 days before disappearing below the western horizon. In another month or so, it will show up again in the east. And while you’re gazing at the little satellite, it will be peering steadily back, through a television camera in its pointed nose. The camera will give official viewers in stations scattered around the globe the first real panoramic picture of our world—a breath-taking view of the land masses, oceans and cities as seen from 200 miles up. More than likely, commercial TV stations will pick up the broadcasts and relay them to your home.

Three more cameras, located inside the cone, will transmit equally exciting pictures: the first sustained view of life in space.

Three rhesus monkeys—rhesus, because that species is small and highly intelligent—will live aboard the satellite in air-conditioned comfort, feeding from automatic food dispensers. Every move they make will be watched, through television, by the observers on earth.

As fast as the robot’s recording instruments gather information, it will be flashed to the ground by the same method used now in rocket-flight experiments. The method is called telemetering, and it works this way: as many as 50 reporting devices are hooked to a single transmitter which sends out a jumble of tonal waves. A receiver on earth picks up the tangled signals, and a decoding machine unscrambles the tones and prints the information automatically on long strips of paper, as a series of spidery wavelike lines. Each line represents the findings of a particular instrument—cabin temperature, air pressure and so on. Together, they’ll provide a complete story of the happenings inside and outside the baby space station.

What kind of scientific data do we hope to get? Confirmation of all space research to date and, most important, new information on weightlessness, cosmic radiation and meteoric dust.

At a high enough speed and a certain altitude, an object will travel in an orbit around the earth. It— and everything in it—will be weightless. Space scientists and engineers know that man can adjust to weightlessness, because pilots have simulated the condition briefly by flying a jet plane in a rollercoaster arc. But will sustained weightlessness raise problems we haven’t foreseen? We must find out—and the monkeys on the satellite will tell us.

The monkeys will live in two chambers of the animal compartment. In the smaller section, one of the creatures will lie strapped to a seat throughout the two-month test. His hands and head will be free, so he can feed himself, but his body will be bound and covered with a jacket to keep him from freeing himself or from tampering with the measuring instruments taped painlessly to his body. The delicate recording devices will provide vital information—body temperature, breathing cycle, pulse rate, heartbeat, blood pressure and so forth.

The other two monkeys, separated from their pinioned companion so they won’t turn him loose, will move about freely in the larger section. During the flight from earth, these two monkeys will be strapped to shock-absorbing rubber couches, under a mild anesthetic to spare them the discomfort of the acceleration pressure. By the time the anesthetic wears off, the robot will have settled in its circular path about the earth, and a simple timing device will release the two monkeys. Suddenly they’ll float weightless, inside the cabin.

What will they do? Succumb to fright? Perhaps cower in a corner for two months and slowly starve to death? I don’t think so. Chances are they’ll adjust quickly to their new condition. We’ll make it easier for them to get around by providing leather handholds along the walls, like subway straps, and by stringing a rope across the chamber.

There’s another problem for the three animals: to survive the 60 days they must eat and drink.

They’ll prepare to cope with that problem on the ground. For months before they take off, the two unbound monkeys will live in a replica of the compartment they’ll occupy in space, learning to operate food and liquid dispensers. In space, each of the two free animals will have his own feeding station. At specific intervals a klaxon horn will sound; the monkeys will respond by rushing to the feeding stations as they’ve been trained to do. Their movement will break an electric-eye beam, and clear plastic doors will snap shut behind them, sealing them off from their living quarters. Then, while they’re eating, an air blower will flush out the living compartment—both for sanitary reasons and to keep weightless refuse from blocking the television lenses. The plastic doors will spring open again when the housecleaning is finished.

The monkeys will drink by sucking plastic bottles. Liquid left free, without gravity to keep it in place, would hang in globules. To get solid food, each of the monkeys—again responding to their training—will press a lever on a dispenser much like a candy or cigarette machine. The lever will open a door, enabling the animals to reach in for their food. They’ll get about half a pound of food a day—a biscuit made of wheat, soybean meal and bone meal, enriched with vitamins. The immobilized monkey will have the same food; his dispensers will be within easy reach.

For the two free monkeys, it will be a somewhat complicated life. The way they react to their ground training under the new conditions posed by lack of gravity will provide invaluable information on how weightlessness will affect them.

While the monkeys are providing physiologists with information on weightlessness, physicists will be learning more about cosmic rays, invisible high-speed atomic particles which act like deep penetrating X rays and were once feared as the major hazard of space flight. Theoretically, in large enough doses cosmic rays could conceivably cause deep burns, damage the eyes, produce malignant growths and even upset the normal hereditary processes. They don’t do much damage to us on earth because the atmosphere dissipates their full strength, but before much was known about the rays people worried about the dangers they might pose to man in space. From recent experiments scientists now know that the risk was mostly exaggerated—that even beyond the atmosphere a human can tolerate the rays for long periods without ill effects. Still, the best figures available have been obtained by high-altitude instrument rocket flights which were too brief to be conclusive. These spot checks must be augmented by a prolonged study, and the baby space station will make that possible.

The concentration of cosmic rays over the earth varies, being greatest over the north and south magnetic poles. The baby space station will follow a circular path that will carry it close to both poles within every hour and a half, so it can determine if cosmic-ray concentration varies that high up.

Geiger counters inside and outside the robot will measure the number of cosmic particle hits. The telemetering apparatus will signal the information to the ground—and for the first time physicists will have an accurate indication of the cosmic-ray concentration in space, above all parts of the globe.

Besides cosmic rays, the baby satellite will be hit by high-speed space bullets—tiny meteors, most of them smaller than a grain of sand, whizzing through space faster than 1,000 miles a minute.

When men enter space, they’ll be protected against these pellets. Their rockets, the big space station, even their space suits, will have an outer skin called a meteor bumper, which will shatter the lightning-fast missiles on impact. But how many grainiike meteors must the bumpers absorb every 24 hours? That’s what we space researchers want to know. So dime-sized microphones will be scattered over the robot’s outer skin to record the number and location of the impacts as they occur.

In the process of unmasking the secrets of space, the baby satellite also will unravel a few riddles of our own earth.

For example, there are numerous islands whose precise position in the oceans has never been accurately established because there is no nearby land to use as a reference point. Some of them—one is Bouvet Island, lying south of the Cape of Good Hope—have been the subject of international disputes which could be quickly settled by fixing the islands’ positions. By tracking the baby space station as it passes over these islands, we’ll accurately pinpoint their locations for the first time.

The satellite will be even more important to meteorologists. The men who study the weather would like to know how much of the earth is covered with cloud in any given period. The robot’s television camera will give them a clue—a start toward sketching in a comprehensive picture of the world’s weather. Moreover, by studying the pattern of cloud movement, particularly over oceans, they may learn how to predict weather fronts with precision months in advance. Most of the weather research must await construction of a man-carrying space station, but the baby satellite will show what’s needed.

To collect this information, of course, we must first establish the little robot in its 200-mile orbit. All the knowledge needed for its construction and operation is already available to experts in the fields of rocketry, television and telemetering.

Before take-off, the satellite vehicle will resemble one of today’s high-altitude rockets, except that it will be about three times as big—150 feet tall, and 30 feet wide at the base. After take-off it will become progressively smaller, because it actually will consist of three rockets—or stages—one atop another, two of which will be cast away after delivering their full thrust. The vehicle will take off vertically and then tilt into a shallow path nearly parallel to the earth. Its course will be over water at first, so the first two stages won’t fall on anyone after they’re dropped, a few minutes after take-off.

When the third stage of the vehicle reaches an altitude of 60 miles and a speed of 17,700 miles an hour, the final bank of motors will shut off automatically. The conical nose section will coast unpowered to the 200-mile orbit, which it will reach at a speed of 17,100 miles an hour, 44 minutes later. The entire flight will take 48 1/2 minutes.

After the satellite reaches its orbit, the automatic pilot will switch on the motors once again to boost the velocity to 17,200 miles an hour—the speed required to balance the earth’s gravity at that altitude. Now the rocket becomes a satellite; it needs no more power but will travel steadily around the earth like a small moon for 60 days, until the slight air drag present at the 200-mile altitude slows it enough to drop.

Once the satellite enters its orbit, gyroscopically controlled flywheels cartwheel the nose until it points toward the earth. At the same time, five little antennas spring out from the cone’s sides and a small explosive charge blasts off the nose cap which has guarded the TV lens during the ascent.

Finally, the satellite’s power plant—a system of mirrors which catch the sun’s rays and turn solar heat into electrical energy—rises into place at the broad end of the cone. A battery-operated electric timer starts a hydraulic pump, which pushes out a telescopic rod. At the end of the rod are the three curved mirrors. When the rod is fully extended, the mirrors unfold, side by side, and from the ends of the central mirror two extensions slip out. Mercury-filled pipes run along the five polished plates; the heated mercury will operate generators providing 12 kilowatts of power. Batteries will take over the power functions while the satellite is passing through the shadow of the earth.

With the power plant in operation, the baby space station buckles down to its 60-day assignment as man’s first listening post in space.

At strategic points over the earth’s surface, 20 or more receiving stations, most of them set up in big trailers, will track the robot by radar as it passes overhead, and record the television and telemetering broadcasts on tape and film. Because the satellite’s radio waves travel in a straight line, the trailers can pick up broadcasts for just a few minutes at a time—only while the robot remains in sight as it zooms from horizon to horizon.

As the satellite passes out of range, the recorded data will be sent to a central station in the United States—some of it transmitted by radio, the rest shipped by plane. There, the information will be evaluated and integrated from day to day.

The monitoring posts will be set up inside the Arctic and Antarctic Circles and at points near the equator. In the polar areas, stations could be at Alaska, southern Greenland and Iceland; and in the south, Shetland Islands, Campbell Island and South Georgia Island. In the Pacific, possible sites are Baker Island, Christmas Island, Hawaii and the Galapagos Islands.

The remaining monitors may be located in Puerto Rico, Bermuda, St. Helena, Liberia, South-West Africa, Ethiopia, Maldive Islands, the Malay Peninsula, the Philippines, northern Australia and New Zealand. These points, all in friendly territory, would form a chain around the earth, catching the satellite’s broadcasts at least once a day.

The monitor stations will be fairly costly, but they’ll come in handy again later, when man is ready to launch the first crew-operated rocket ships for development of a big-manned space station, 1,075 miles from the earth.

The cost of the baby satellite project will be absorbed into the four-billion-dollar 10-year program to establish the bigger satellite. We scientists can have the baby rocket within five to seven years if we begin work now. Five years later, we could have the manned space station.

One of the monitoring posts will view the last moments of the baby space station. As the weeks pass, the satellite, dragging against the thin air, will drop lower and lower in its orbit. When it descends into fairly dense air, its skin will be heated by friction, causing the temperature to rise within the animal compartments. At last, a thermostat will set off an electric relay which triggers a capsule containing a quick-acting lethal gas. The monkeys will die instantly and painlessly. Soon afterward, the telemetering equipment will go silent, as the rush of air rips away the solar mirrors which provide power, and the baby space station will begin to glow cherry red. Then suddenly the satellite will disappear in a long white streak of brilliant light—marking the spectacular finish of man’s first step in the conquest of space.•

Can’t name a thinker from the second half of the 20th century who was more right about the seismic changes that were to come than Marshall McLuhan. Not Andy Warhol or Jane Jacobs or George Carlin or Malcolm X or anyone. I wonder if he doubted all he’d said when he was cast from the zeitgeist and accused of being a mountebank as his celebrity faded. Likely he still knew he was largely correct.

A McLuhan quote rebounding around Twitter today: “World War III [will be] a guerrilla information war with no division between military & civilian participation.” That line, from 1970’s Culture Is Our Business, sums up the destabilized, decentralized state of life in 2017 in the wake of a Presidential election fought by bot armies. There was a time not too long ago, during the Arab Spring, when social media was greeted as a liberator, but now we have direct evidence all that connectedness has delivered a permanent state of anarchy. The term chaos agent, long used to describe individuals, is today an apt descriptor for the most popular medium. 

What the theorist feared most of all was the Global Village, the reality that we were all becoming one tribe because of satellites and other communication enablers. It may have seemed especially misanthropic during the decade that gave us the Summer of Love, but it was really just a practical concern. And now that we’re a computerized society, all living in the same room, the technologies will endeavor to bring us even closer–inside of each other’s heads in unprecedented ways.

In “DARPA’s Ex-Leader’s Speculative Dream of Mind-Melding Empathy,” Alexis Madrigal of the Atlantic writes of Arati Prabhakar’s Aspen Ideas Festival speech about a radical vision of increasing connectedness. The journalist, very appropriately, believes it may create a nightmare. An excerpt:

Then she delivered the true Utopian dream:

“Imagine if we could connect among ourselves in new and deeper ways and imagine if those connections happened in a way that gave us so much empathy and understanding of each other that we could put our minds together, literally, to take on some of the world’s hardest problems.”

She did not expound on the image, but one imagines she’s thinking about a kind of direct brain-to-brain interface.

DARPA has, after all, invested a lot in direct electronic brain interfaces. In one research program, they’re working on “intuitive” neural interfaces for controlling prosthetic limbs. In another, they’re creating “an implantable neural interface able to provide advanced signal resolution and data-transfer bandwidth between the brain and electronics.” The goal there is to create a translator between “the electrochemical language used by neurons in the brain and the ones and zeroes that constitute the language of information technology.”

And once you’ve got intuitive neural controls and a translator that lets you send brain signals into computers and back again, it does not seem an incredible leap to hook two (or … a million?) humans up together.

“If we could get to that future, we would look back at today’s reality and it would look like black-and-white,” Prabhakar said. “It would look like flatland.”•

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Loved the long centerpiece of Garry Kasparov’s Deep Thinking, in which perhaps the greatest chess champion of all recreates his epic 1996 and 1997 matches with Deep Blue, the IBM program that ultimately toppled him–and by extension, us. The barrage of machinations employed by the computer company are fascinating and worthy of Cold War spooks, which makes this section read like an espionage thriller married to insightful sportswriting.

The rest of the book is an interesting meditation on the intelligent machines that increasingly surround us, consume us, though Kasparov’s argument that we should stop worrying and learn to love the “bomb” doesn’t completely convince because he gives short shrift to the many potential pitfalls.

A few random thoughts.

· · ·

While Steven Levy’s cover line, “The Brain’s Last Stand,” was a great way to sell his Newsweek article that previewed the second match, it also was a simplification of a complex point. There’s no one instant when intelligent machines absolutely surpass us, no Turing Test or ego-deflating checkmate, Watson win or Singularity moment can do the trick. It’s a gradual process. Apollo 11’s success, IBM’s victory and Deep Learning’s mysterious prowess are all part of an eerie landscape in which there is no Main Street. The landmarks are scattered and continually being built.

Kasparov makes this point himself in depicting the titanic contests as great theater and personally taxing but almost completely beside the point. He knew that even if he triumphed in ’97, the machines would soon far surpass their carbon-based competitors. Kasparov might have staved off IBM long enough to avoid being the one to “earn” the John Henry tag, but soon enough the number one player in the world, whoever that may have been, was going down.

· · ·

Early in the volume, on page 47, Kasparov tries to relate to people whose livelihoods, and sometimes communities, have been devastated by technological innovation (in tandem with globalization), arguing that “few people in the world know better than I do what it’s like to have your life’s work threatened by a machine.” Hmm, it would seem that a brilliant, world-famous, fairly well-off guy in his thirties would be fine even if he was shoved aside by AI, but maybe he was truly terrified like those who hope the plant in Ohio doesn’t kick them to the curb.

Later that very same page, however, Kasparov writes: “Nor did I believe the apocalyptic predictions about what might happen if I lost a match to a machine. I was always optimistic about the future of chess in a digital age.” Whew, crisis averted! 

The author sees a progression in which for a period of indeterminate length humans and machines collaborate on many forms of work until our silicon sisters take full control of these processes and we move on to other more important matters. That’s probably correct, but it’s not so likely to unfold as neatly off the page, especially since industries can rise and fall far more quickly during a technological boom.

Think how rapidly CDs went from the most successful format in music-business history to being almost worthless when the sounds disappeared into the 0s and 1s. Consider that Blockbuster and Polaroid and Fotomat went under during just the first wave of the Internet. Even if the aggregate job numbers don’t end up diminished, discomfiting displacement may become a permanent feature of life, as we’re all engaged in a never-ending game of musical chairs. That can’t be healthy for a society. From an economic standpoint, you wouldn’t want to be a nation that misses out on the Digital Age, but things could, and probably will, get messy. Some will be seated comfortably and many will fall to the floor.

· · ·

I’m working from memory, but I think Kasparov dedicates about three pages to the thorny problems of surveillance, privacy, hacking, etc. That’s not nearly adequate. As physical objects from cars to refrigerators to personal assistants are computerized and seamlessly integrated into our lives, these issues will become enormous. Actually, they already are. The author believes these complications to be fixable bugs.

The main problem with his reasoning is it assumes there must be reasonable answers to vexing Digital Era questions. That’s not necessarily so. Perhaps there’s no taming the anarchy of a “smart” world that’s super-connected. Certainly Kasparov’s arch-nemesis Vladimir Putin wouldn’t have been able to influence the Brexit and U.S. Presidential votes without linked computers, those chaos agents. Mayhem may be baked so deeply into the new tools that the havoc is inseparable–and insuperable. It could even be that a highly technological society, a deeply connected and heavily sensored one, ultimately destroys itself. I don’t believe that scenario plausible, but it’s irresponsible to not consider it possible.

Those challenges are just the ones we’re aware of. Nobody knew a century ago that the internal combustion engine would soon create an existential threat. Tomorrow’s tools will be far more powerful and so probably will be their unintended consequences.

· · ·

In one passage, Kasparov asserts that his quote from 1989 in which he predicted AI would become world champion before a woman did wasn’t sexist. Well, perhaps that’s so, but the suspicion seems more understandable if you know the context the author has omitted. If anyone in 1989 suspected Kasparov was deeply sexist that’s because in 1989 Kasparov was deeply sexist.

From a Playboy Interview that year:

Playboy:

How about women chess players?

Garry Kasparov:

Well, in the past, I have said that there is real chess and women’s chess. Some people don’t like to hear this, but chess does not fit women properly. It’s a fight, you know? A big fight. It’s not for women. Sorry. She’s helpless if she has men’s opposition. I think this is very simple logic. It’s the logic of a fighter, a professional fighter. Women are weaker fighters.

There is also the aspect of creativity in chess. You have to create new ideas. That’s quite difficult, too. Chess is the combination of sport, art and science. In all these fields, you can see men’s superiority. Just compare the sexes in literature, in music or in art. The result is, you know, obvious. Probably the answer is in the genes.

Playboy:

Do you realize that you’re expressing a sexist point of view, and that Western women will be enraged by it?

Garry Kasparov:

Yes, but I’m not concerned. I’m sure that women can do many things better than men in many fields. I think it’s wrong to want to be compared all the time, to want to be equal in everything. Men and women are different.•

Two daughters and two decades later, Kasparov was far more enlightened when questioned by the same magazine:

Playboy:

Why are there relatively few women chess players?

Garry Kasparov:

Tradition. How many women composers are there? Architects? Things are changing in this. We have Judit Polgar, who proved a woman can make the top 10, though she didn’t come even close to number one.•

Okay, sexism would have been a more apt word choice than tradition, but I don’t blame Kasparov from wanting to recoil from his earlier misogyny, seeing how he’s apparently grown past it. But disappearing this failing removes an important lesson: Humans, like intelligent machines, can learn and grow in surprising ways.

· · ·

In “A Brutal Intelligence: AI, Chess, and the Human Mind,” Nicholas Carr reviews Kasparov’s title for the Los Angeles Review of Books, making interesting observations about the limits of blunt-force computing and the very nature of chess. Carr notes that our type of thinking will likely be beyond the reach of computers into the long-term future but worries that “brutally efficient calculations” will become more valued than the inexpressible nuances of human thought. An excerpt:

The history of computer chess is the history of artificial intelligence. After their disappointments in trying to reverse-engineer the brain, computer scientists narrowed their sights. Abandoning their pursuit of human-like intelligence, they began to concentrate on accomplishing sophisticated, but limited, analytical tasks by capitalizing on the inhuman speed of the modern computer’s calculations. This less ambitious but more pragmatic approach has paid off in areas ranging from medical diagnosis to self-driving cars. Computers are replicating the results of human thought without replicating thought itself. If in the 1950s and 1960s the emphasis in the phrase “artificial intelligence” fell heavily on the word “intelligence,” today it falls with even greater weight on the word “artificial.”

Particularly fruitful has been the deployment of search algorithms similar to those that powered Deep Blue. If a machine can search billions of options in a matter of milliseconds, ranking each according to how well it fulfills some specified goal, then it can outperform experts in a lot of problem-solving tasks without having to match their experience or insight. More recently, AI programmers have added another brute-force technique to their repertoire: machine learning. In simple terms, machine learning is a statistical method for discovering correlations in past events that can then be used to make predictions about future events. Rather than giving a computer a set of instructions to follow, a programmer feeds the computer many examples of a phenomenon and from those examples the machine deciphers relationships among variables. Whereas most software programs apply rules to data, machine-learning algorithms do the reverse: they distill rules from data, and then apply those rules to make judgments about new situations.

In modern translation software, for example, a computer scans many millions of translated texts to learn associations between phrases in different languages. Using these correspondences, it can then piece together translations of new strings of text. The computer doesn’t require any understanding of grammar or meaning; it just regurgitates words in whatever combination it calculates has the highest odds of being accurate. The result lacks the style and nuance of a skilled translator’s work but has considerable utility nonetheless. Although machine-learning algorithms have been around a long time, they require a vast number of examples to work reliably, which only became possible with the explosion of online data. Kasparov quotes an engineer from Google’s popular translation program: “When you go from 10,000 training examples to 10 billion training examples, it all starts to work. Data trumps everything.”

The pragmatic turn in AI research is producing many such breakthroughs, but this shift also highlights the limitations of artificial intelligence. Through brute-force data processing, computers can churn out answers to well-defined questions and forecast how complex events may play out, but they lack the understanding, imagination, and common sense to do what human minds do naturally: turn information into knowledge, think conceptually and metaphorically, and negotiate the world’s flux and uncertainty without a script. Machines remain machines.

That fact hasn’t blunted the public’s enthusiasm for AI fantasies.•

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Have you ever had a dream that you’re walking with a deceased relative, trying to hold them steady because they’re unstable, and you can’t explain basic things to them because they are themselves but not themselves, awake but asleep, and they’re upset because they can’t understand and you’re upset because they’re upset?

· · ·

Our personalities and interests develop differently if we grow up in NYC or LA or Reykjavik because our surroundings inform us. Speaking one language or another or existing within this hierarchy or that one also leave a mark. Traumas that occur (or don’t occur) cut deeper still. A Scientific American article from last year summed it up this way: “The idea of cloning a deceased loved one—human or pet—has fallen out of favor in part because of the recognition that environment affects behavior. The genetics might be the same but would a clone still be the same lovable individual?”

· · ·

When futurists suggest human brains will soon be “uploaded” to computers, they assume consciousness isn’t at all shaped by the body and won’t be by whatever new containers hold “us.” That seems a huge oversight. The same goes for those who chose to cryogenically preserve their heads in the hope of someday being awakened or restored.

· · ·

In Luke Winkie’s Vice article “In the Future, You Will Have the Same Pet Your Entire Life,” the writer looks at those who just can’t let go of their four-legged friends, sometimes selling their assets to pay the $50,000 to $100,000 required to create a very imperfect “copy.” An excerpt:

Its cloning process is more straightforward than you might think. A Sooam clerk will meet you at the Seoul airport and retrieve a fingernail-length biopsy of your dead pet’s flesh. A donor dog or cat is selected from the company’s kennel. Their eggs are flushed out, gutted of their genetic information, and fused with DNA harvested from the biopsy. If the process works, the retrofitted egg is inserted into a surrogate mother. “Until the point where they actually meet the dog, [the customer] is in a very happy disbelief,” says [Jae Woong] Wang. “But once we deliver the dog, they usually burst into tears.”

The jury is still out on what a clone actually is. It’s a conundrum that’s raged ever since Dolly, the famous duplicated sheep, was brought into the world in 1996. Genetically, they’ll be a mirror image of the source animal, an asexually wrought son or daughter built in the flash of nuclear transfer. But will the clone share the same emotions or personality tics? That’s difficult to say. Research on cloned cows and pigs has shown distinct differences in personality—and even looks—from the animal of origin to its clone.

As such, New York Magazine‘s Science of Us blog called pet cloning “a laughable, extravagant waste of money,when news broke last year that media tycoon Barry Diller and fashion mogul Diane von Furstenberg had their Jack Russell terrier cloned, even though the wealthy power couple seemed pleased with the two puppies they got as a result. And, in an interview with Scientific American, stem cell biologist Robin Lovell-Badge maintained that cloning a pet was, flatly, “stupid.” “You’re never gonna get Tibble back, or whatever,” he added.

But companies like Sooam deal in love—or more specifically, the faint chance that you might love again.•

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Sebastian Thrun is a brilliant guy who was positioned at the starting line of the recent boom in driverless technology, but he’s no stranger to irrational exuberance. A couple years ago, the Udacity founder earnestly announced that “if I could double the world’s GDP, it would be very gratifying to me.” Yes, that would be nice.

The computer scientist and entrepreneur is now employed as CEO of Larry Page’s Kitty Hawk, engaged in trying to perfect the flying car, a vehicle of retrofuture dreams that seems exceedingly unnecessary. Wouldn’t it be far better for society if he and others like him were engaged in innovation aimed at more practical public transportation solutions for the masses? The thing about childhood dreams is that most of them are childish.

Steven Levy held roughly the same view last month when he sat down to interview Thrun for Backchannel (now housed at Wired). The opening:

Steven Levy:

Why do we need flying cars?

Sebastian Thrun: 

It is a childhood dream. Flying is just such a magical thing to do. Making personalized flight available to everybody really opens up a set of new experiences. But in the long term there’s a practicality to the idea of a flying vehicle that takes off vertically like a helicopter, is very quiet, and can serve short range transportation. The ground is getting more and more congested. In the US, road usage increases by about three percent every year. But we don’t build any roads. And countries like China that very recently witnessed an explosion of automotive ownership are suffering tremendously from unbelievable traffic jams. While the ground infrastructure of roads is one-dimensional, the sky is three-dimensional, and it is much, much larger.

Steven Levy:

But it you build flying cars, won’t the air be just as congested?

Sebastian Thrun: 

The nice thing about the air is there is more of it. You could have virtual highways in the sky and stack them vertically. So you never have a traffic intersection or similar.

Steven Levy:

But highways have lanes. You can’t have dotted lines in the sky.

Sebastian Thrun: 

Yes, you can, it turns out. Thanks to the US government we have the Global Positioning System that gives us precision location information. We can paint virtual highways into the sky. We are actually doing this today. When you look at the way planes fly, they use equipment that effectively constructs highways in the sky.

Steven Levy:

Still, the number of planes is tiny compared to cars, which you want to put in the air. Plus, everybody is buying drones. If you folks get your way, the sky is going to be completely full.

Sebastian Thrun: 

Every idea put to the extreme sounds odd.•

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As I’ve written before, plenty of people will rush to have “CRISPR babies” and be willing recipients of makeovers that extend far further than skin-deep. Botox and fillers and cosmetic surgery apps are just a dress rehearsal for what’s to come, and it will arrive, whether China or Europe or the U.S. first begins experimenting in earnest with gene modification. There are currently many unintended consequences attending the process, but the “games” will eventually begin.

In regards to the proliferation of plastic surgery, here’s an excerpt from a BBC piece by Dominic Hughes about children being targeted with propaganda:

Prof. Jeanette Edwards, from the University of Manchester, who chaired the council’s inquiry into ethical issues surrounding cosmetic procedures, said some of the evidence around games aimed at younger children had surprised the panel.

“We’ve been shocked by some of the evidence we’ve seen, including make-over apps and cosmetic surgery ‘games’ that target girls as young as nine.

“There is a daily bombardment from advertising and through social media channels like Facebook, Instagram and Snapchat that relentlessly promote unrealistic and often discriminatory messages on how people, especially girls and women, ‘should’ look.”•

The next phase, the bold move toward “designer babies,” is addressed in Ed Yong’s smart Atlantic article about scientist Jennifer Doudna trying to reckon with her prominent role in the “CRISPR Revolution.” The opening:

Jennifer Doudna remembers a moment when she realized how important CRIPSR—the gene-editing technique that she co-discovered—was going to be. It was in 2014, and a Silicon Valley entrepreneur had contacted Sam Sternberg, a biochemist who was then working in Doudna’s lab. Sternberg met with the entrepreneur in a Berkeley cafe, and she told him, with what he later described to Doudna as “a very bright look in her eye that was also a little scary,” that she wanted to start applying CRISPR to humans. She wanted to be the mother of the first baby whose genome had been edited with the technique. And she wanted to establish a business that would offer a menu of such edits to parents.

Nothing of the kind could currently happen in the U.S., where editing the genomes of human embryos is still verboten. But the entrepreneur apparently had connections that would allow her to offer such services in other countries. “That’s a true story,” Doudna told a crowd at the Aspen Ideas Festival, which is co-hosted by the Aspen Institute and The Atlantic. “That blew my mind. It was a heads-up that people were already thinking about this—that at some point, someone might announce that they had the first CRISPR baby.”

The possibility had always been there. Bacteria have been using CRISPR for billions of years to slice apart the genetic material of viruses that invade their cells. In 2012, Doudna and others showed how this system could be used to deliberately engineer the genomes of bacteria, cutting their DNA with exceptional precision. In quick succession, researchers found that they could do the same in mammalian cells, mice, plants, and—in early 2014—monkeys. “I had all of this at the back of my mind,” Doudna told me after her panel. But Sternberg’s story about his meeting “was the moment where I said I needed to get involved in this conversation. I’m not going to feel good about myself if I don’t talk about it publicly.”

That has not been an easy journey. Doudna built her career on molecules and microbes. As few as five years ago, she was, by her own admission, working head-down in an ivory tower, with no plans of milking practical applications from her discoveries, and little engagement with the broader social impact of her work.

But CRISPR forcefully yanked Doudna out of that closeted environment, and dumped her into the midst of intense ethical debates about whether it’s ever okay to change the DNA of human embryos, whether eradicating mosquitoes is a good idea, and whether “fixing” the genes behind inherited diseases is a blow to disabled communities.•

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Jack Ma thinks our current technological age may lead to WWIII, but otherwise he’s pretty hopeful. 

The Alibaba executive chairman recently told CNBC: “The first technology revolution caused World War I. The second technology revolution caused World War II. This is the third technology revolution.” His time frame for the possible global cataclysm is the next three decades, when many of us may be disrupted and disenchanted by improving Artificial Intelligence.

Chilling, sure, but China’s richest man also foresees 16-hour workweeks, wider markets for local products (Chinese consumption will be the engine that drives the world economy, he’s said) and plenty of new travel opportunities. My friends, you have to break some eggs to make that omelette.

If there will be blood, perhaps it’s appropriate that data is the new oil, as Louise Lucas of the Financial Times asserts in writing about the outsize success of Ma’s corporation. “Information collection,” a fairly benign term for the biggest gusher ever, is at the heart of the growth. An excerpt: 

If data are the new oil, Jack Ma, former English teacher turned China’s richest man, is the new John D Rockefeller.

Like Rockefeller’s Standard Oil, Mr Ma’s Alibaba is a lucrative and rapidly growing business. Earlier this month, it forecast annual revenues would increase 45 to 49 per cent, besting analysts’ consensus estimates by 10 percentage points and adding $42.25bn to its value — almost an entire Barclays bank — the following day.

“Alibaba is evolving into a big data conglomerate,” enthused Jessie Guo, analyst at Jefferies, and one of the many who attended the group’s two-day investor conference in Hangzhou this month.

Revenue guidance and discussions at the event “indicate we are at the beginning of data-driven monetisation”, added Chi Tsang, head of internet research at HSBC.

Alibaba’s vertically and horizontally integrated services span shopping, movies, finance and logistics, all collecting information on people’s spending, location and viewing. Once refined, the data are fed back to merchants, who in turn can better target their goods and sell more over Alibaba’s ecommerce platforms.•

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IEEE Spectrum has an interesting article in which a raft of scientists and futurists are questioned about the ETA of conscious machines and their potential impact. Notably, nobody says such a development is impossible nor does anyone suggest pursuit of such has a good chance to extinct us.

Robin Hanson, author The Age of Em, sticks to his previous prognostication that our increasingly technological future may bring us an economy that doubles every month, which might seem inviting to a society in stagnation, but a world that could potentially “turn over” so quickly would be a shock to the system to anyone not gradually eased into it.

Marthine Rothblatt, the Sirius founder turned Transhumanist and developer of “consciousness software,” believes robots will largely be “good,” saying that she’s “confident the computers will be overwhelmingly friendly since they will be selected for in a Darwinian environment that consists of humanity. There is no market for [a] bad robot, no more than there is for a bad car or plane. Of course, there is the inevitability of a DIY bad human-level computer, but that gives me even more reason to welcome human-level cyberintelligence, because just like it takes a [thief to catch a thief], it will take a human-friendly smart computer to catch an antihuman smart computer.”

There’s also no market for terrorism or for genocide, but those things happen. We can’t avoid far stronger tools because of the human capacity to cause chaos, but we have to at least consider the possibility that our own doom is embedded in these advances.

Rodney Brooks is perhaps the most sober of all the participants. In Errol Morris’ 1997 documentary, Fast, Cheap and Out of Control, the roboticist famously says that in tomorrow’s world of intelligent machines, humans might not be necessary. Brooks, who has since backed off that statement (“You can’t expect me to stand by something I said during a long day of filming 20 years ago!”), now mocks what he believes to be reckless conjecture about the future.

An excerpt:

Question:

When will we have computers as capable as the brain?

Rodney Brooks:

Rodney Brooks’s revised question: When will we have computers/robots recognizably as intelligent and as conscious as humans?

Not in our lifetimes, not even in Ray Kurzweil’s lifetime, and despite his fervent wishes, just like the rest of us, he will die within just a few decades. It will be well over 100 years before we see this level in our machines. Maybe many hundred years.

Question:

As intelligent and as conscious as dogs?

Rodney Brooks:

Maybe in 50 to 100 years. But they won’t have noses anywhere near as good as the real thing. They will be olfactorily challenged dogs.

Question:

How will brainlike computers change the world?

Rodney Brooks:

Since we won’t have intelligent computers like humans for well over 100 years, we cannot make any sensible projections about how they will change the world, as we don’t understand what the world will be like at all in 100 years. (For example, imagine reading Turing’s paper on computable numbers in 1936 and trying to pro­ject out how computers would change the world in just 70 or 80 years.) So an equivalent well-grounded question would have to be something simpler, like “How will computers/robots continue to change the world?” Answer: Within 20 years most baby boomers are going to have robotic devices in their homes, helping them maintain their independence as they age in place. This will include Ray Kurzweil, who will still not be immortal.

Question:

Do you have any qualms about a future in which computers have human-level (or greater) intelligence?

Rodney Brooks:

No qualms at all, as the world will have evolved so much in the next 100+ years that we cannot possibly imagine what it will be like, so there is no point in qualming. Qualming in the face of zero facts or understanding is a fun parlor game but generally not useful. And yes, this includes Nick Bostrom.•

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“Spying among friends, that isn’t done,” Angela Merkel has said, but the absolutely least surprising thing in this period of constant shocks is that Germany was apparently spying on America as America was spying on Germany. Of course.

Nearly three years ago, I assumed that at the very least “Germany didn’t want to delve too deeply into NSA spying because Germany has been complicit in it.” It isn’t surprising the surveillance was bilateral at least during the first decade of this century because one truism about the technological tools we’ve created is they will be used. The argument that we’ve managed to (mostly) not employ nuclear weapons so we can control privacy-obliterating devices is silly because these instruments and methods are decentralized and available to all, and governments and corporations and individuals will give in to the temptation to use them regardless of the law.

Also: Spying isn’t one big boom but instead death by a thousand cuts. Each individual act won’t feel calamitous. In Errol Morris parlance, these surveillance tools are fast, cheap and will continually be out of control.

From “German Intelligence Also Snooped on White House,” a Spiegel piece by Maik Baumgärtner, Martin Knobbe and Jörg Schindler:

Documents that Spiegel has been able to review show that the BND, until a few years ago, actually had considerable interest in the United States as a target of espionage. The document states that just under 4,000 search terms, or selectors, were directed against American targets between 1998 and 2006. It is unknown whether they continued to be used after those dates.

The German intelligence agency used the selectors to surveil telephone and fax numbers as well as email accounts belonging to American companies like Lockheed Martin, the space agency NASA, the organization Human Rights Watch, universities in several U.S. states and military facilities like the U.S. Air Force, the Marine Corps and the Defense Intelligence Agency, the secret service agency belonging to the American armed forces. Connection data from far over 100 foreign embassies in Washington, from institutions like the International Monetary Fund (IMF) and the Washington office of the Arab League were also accessed by the BND’s spies.

The entries also prove the existence of a top-secret anti-terror alliance between Western intelligence services, including those of Germany, the United States and France. Spiegel already reported back in 2005 on the elite unit, which is named Camolin. The papers now show several BND selectors were “Camolin-related.”

It’s Unlikely Spying Was Unintentional
 
Also on the selector list were lines at the U.S. Treasury Department, the State Department and the White House. Were they really all just “coincidental capture” as the former BND head claimed? Was it just an oversight?

That’s unlikely.•

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In January, I wrote this:

More than two centuries before Deep Blue deep-sixed humanity by administering a whooping to Garry Kasparov, that Baku-born John Henry, the Mechanical Turk purported to be a chess-playing automaton nonpareil. It was, of course, a fake, a contraption that hid within its case a genius-level human champion that controlled its every move. Such chicanery isn’t unusual for technologies nowhere near fruition, but the truth is even ones oh-so-close to the finish line often need the aid of a hidden hand.

In “The Humans Working Behind The Curtain,” a smart Harvard Business Review piece by Mary L. Gray and Siddharth Suri, the authors explain how the “paradox of automation’s last mile” manifests itself even in today’s highly algorithmic world, an arrangement by which people are hired to quietly complete a task AI can’t, and one which is unlikely to be undone by further progress. Unfortunately, most of the stealth work for humans created in this way is piecemeal, lower-paid and prone to the rapid churn of disruption.

An excerpt:

Cut to Bangalore, India, and meet Kala, a middle-aged mother of two sitting in front of her computer in the makeshift home office that she shares with her husband. Our team at Microsoft Research met Kala three months into studying the lives of people picking up temporary “on-demand” contract jobs via the web, the equivalent of piecework online. Her teenage sons do their homework in the adjoining room. She describes calling them into the room, pointing at her screen and asking: “Is this a bad word in English?” This is what the back end of AI looks like in 2016. Kala spends hours every week reviewing and labeling examples of questionable content. Sometimes she’s helping tech companies like Google, Facebook, Twitter, and Microsoft train the algorithms that will curate online content. Other times, she makes tough, quick decisions about what user-generated materials to take down or leave in place when companies receive customer complaints and flags about something they read or see online.

Whether it is Facebook’s trending topics; Amazon’s delivery of Prime orders via Alexa; or the many instant responses of bots we now receive in response to consumer activity or complaint, tasks advertised as AI-driven involve humans, working at computer screens, paid to respond to queries and requests sent to them through application programming interfaces (APIs) of crowdwork systems. The truth is, AI is as “fully-automated” as the Great and Powerful Oz was in that famous scene from the classic film, where Dorothy and friends realize that the great wizard is simply a man manically pulling levers from behind a curtain. This blend of AI and humans, who follow through when the AI falls short, isn’t going away anytime soon. Indeed, the creation of human tasks in the wake of technological advancement has been a part of automation’s history since the invention of the machine lathe.

We call this ever-moving frontier of AI’s development, the paradox of automation’s last mile: as AI makes progress, it also results in the rapid creation and destruction of temporary labor markets for new types of humans-in-the-loop tasks.•

The Harvard Business Review report was terrain previously covered from a different angle by Adrian Chen in Wired in 2014 with “The Laborers Who Keep Dick Pics and Beheadings Out of Your Facebook Feed.” The journalist studied those stealthily doing the psychologically dangerous business of keeping the Internet “safe.” The opening:

THE CAMPUSES OF the tech industry are famous for their lavish cafeterias, cushy shuttles, and on-site laundry services. But on a muggy February afternoon, some of these companies’ most important work is being done 7,000 miles away, on the second floor of a former elementary school at the end of a row of auto mechanics’ stalls in Bacoor, a gritty Filipino town 13 miles southwest of Manila. When I climb the building’s narrow stairwell, I need to press against the wall to slide by workers heading down for a smoke break. Up one flight, a drowsy security guard staffs what passes for a front desk: a wooden table in a dark hallway overflowing with file folders.

Past the guard, in a large room packed with workers manning PCs on long tables, I meet Michael Baybayan, an enthusiastic 21-year-old with a jaunty pouf of reddish-brown hair. If the space does not resemble a typical startup’s office, the image on Baybayan’s screen does not resemble typical startup work: It appears to show a super-close-up photo of a two-pronged dildo wedged in a vagina. I say appears because I can barely begin to make sense of the image, a baseball-card-sized abstraction of flesh and translucent pink plastic, before he disappears it with a casual flick of his mouse.

Baybayan is part of a massive labor force that handles “content moderation”—the removal of offensive material—for US social-networking sites. As social media connects more people more intimately than ever before, companies have been confronted with the Grandma Problem: Now that grandparents routinely use services like Facebook to connect with their kids and grandkids, they are potentially exposed to the Internet’s panoply of jerks, racists, creeps, criminals, and bullies. They won’t continue to log on if they find their family photos sandwiched between a gruesome Russian highway accident and a hardcore porn video. Social media’s growth into a multibillion-dollar industry, and its lasting mainstream appeal, has depended in large part on companies’ ability to police the borders of their user-generated content—to ensure that Grandma never has to see images like the one Baybayan just nuked.

So companies like Facebook and Twitter rely on an army of workers employed to soak up the worst of humanity in order to protect the rest of us. And there are legions of them—a vast, invisible pool of human labor.•

Chen has now teamed with Ciarán Cassidy to revisit the harrowing topic for a 20-minute documentary called “The Moderators.” It’s a fascinating peek into a hidden corner of our increasingly computerized world–one that’s even more relevant in the wake of the Kremlin-bot Presidential election–as well as very good filmmaking. 

We watch as trainees at an Indian company that quietly “cleans” unacceptable content from social-media sites are introduced to sickening images they must scrub. That tired phrase “you can’t unsee this” gains new currency as the neophytes are bombarded by shock and gore. The movie numbers at 150,000 the workers in this sector trying to mitigate the chaos in the “largest experiment in anarchy we’ve ever had.” For these kids it’s a first job, a foot in the door even if they’re stepping inside a haunted house. You have to wonder, though, if they will ultimately be impacted in a Milgramesque sense, desensitized and disheartened, whether they initially realize it or not.

We are all like the moderators to a certain degree, despite their best efforts. Pretty much everyone who’s gone online during these early decades of the Digital Age has witnessed an endless parade of upsetting images and footage that was never available during a more centralized era. Are we also children who don’t realize what we’re becoming?

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Gained much insight early in the year from reading Walter Scheidel’s The Great Leveler: Violence and the History of Inequality from the Stone Age to the Twenty-First Century, which analyzes how wealth inequality can be interrupted and reversed, his analysis stretching back far earlier than the Gini coefficient to the time of the development of rudimentary tools like spears.

How do we make the world more equal? To put it simply, through great pain, unless you’re into mass mobilization warfare, plague, bloody revolution or societal collapse. (I think Steve Bannon is deeply in love with at least two or three of these options, though not to make the economy more equal.) Of course, leveling doesn’t necessarily mean the raising of all boats but sometimes the sinking of every last ship. Scheidel asserts that wealth inequality has been the logical outcome of stable societies, with leveling occurring for relatively brief spells by virtue of the sweep of history or the spread of Influenza. 

The book isn’t entirely resigned, believing that perhaps past won’t be prologue, holding out hope that human progress can find new means of mitigation. Of course, sitting here at this moment in time, that doesn’t look like the plausible near-term scenario.

Scheidel has just published a smart essay for Aeon wondering anew if we can arrive at a more-equal playing field with trampling all the players. He isn’t sanguine about our chances, thinking genetic engineering may further complicate matters. An excerpt:

History offers very little comfort to those in search of peaceful levelling. To be sure, it is perfectly possible to reduce inequality at the margins: if Latin American countries have done it, the US, UK or Australia certainly ought to be able to accomplish the same, using an array of policy measures, from fiscal interventions, basic incomes and the targeting of concealed offshore wealth, to carefully focused investment in education and campaign finance reform. However, policymaking does not take place in a vacuum, and not everything that worked well for the postwar generation, say, could be easily implemented in today’s more globally integrated, competitive and deregulated environment. Throughout history, truly substantial compressions of inequality invariably had much darker origins, and no similarly powerful alternative mechanisms have since emerged.

It is always tempting to assume that the lessons of history are no longer relevant because the world has changed so much – as indeed it has. But we must bear in mind that the exact same claim could have been made back in the 1950s, ’60s and ’70s, when inequality declined even as economies boomed and the middle classes thrived. There was no obvious reason why this should ever change: and yet change it did. It is just as likely as not that we are currently riding another upward wave in the concentration of income and wealth, continuing a pattern that stretches back thousands of years. In the not-too-distant future, robotics, genetic engineering and biomechatronic enhancements of the human body could well create inequalities we can barely even imagine. And if they do, will it all end in yet another unforeseen, sudden and dramatic violent turn?

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Baseball is very different than it used to be yet more or less the same. Maybe that’s because it was always a strange thing, with no uniform playing field.

In 1900, it was considered America’s pastime, even more popular than cricket which was still wildly successful. Two decades later, the latter sport was largely gone from the scene, and baseball survived despite the existential threat of the 1919 Black Sox scandal. The game thrived during its prolonged mythologizing epoch, when narratives reigned, and has grown even wealthier now that numbers have ascended.

There are some dark clouds on the horizon. The average fan is quite old, African-American athletes in recent decades have gravitated to other sports, those bountiful regional cable contracts may prove bad bets not repeated, etc. It’s already no longer America’s favorite game, but you would think that as long as it can provide giant blocks of family-friendly entertainment, it will find itself in a good place in a media-saturated society. Its chances are certainly better than two of the other team-sports leagues, the NFL and NHL, with their head-injury issues.

In a fun ESPN article, Tim Kurkjian and a panel of unnamed experts imagine what changes will come to the game in 20 years, in terms of rules, technology and training. There’s plenty to argue over, and I disagree with some aspects. If baseball has contracted to just 28 teams by 2037 as Kurkjian predicts, either MLB will be doing poorly or the nation will in rough shape, perhaps locked be in Civil War 2.0 (likely!). I also don’t understand why, by that point, computers calling balls and strikes won’t be able to adjust to a batter’s stance. Seems easier to figure out than, say, driverless cars.

Three short examples from the ESPN piece is followed by the opening of George Will’s WSJ review of Smart Baseball, a book about next-level stats by Keith Law, whom the reviewer likens to baseball’s “Wittgenstein,” which may be the George Will-est thing ever.


From Kurkjian:

  • In 20 years, all players will be monitored to an intense degree. Heart rate and brain function will be watched in several ways, including through the bloodstream, and will detect when the stress level, among other levels, is too high. The monitors will determine when a player reaches failure capacity, which could reduce the risk of injury and alert a performance risk. It’s a paradox: Players are bigger, stronger and fitter today, but they get hurt more often. There will be far more healthy players and less use for the disabled list in 2037.
  • There will still be four umpires on the field as opposed to sensors on player’s uniforms and on each base to electronically determine out or safe calls. Instead of having a laser system at home plate to call balls and strikes because such a system can’t always account for the shifting size of a player’s strike zone or the element of a crouch, the home plate umpire will be standing behind the pitcher’s mound. Many in the game will acknowledge that is the best vantage point to call balls and strikes, especially the horizontal strike zone — inside and outside. For the vertical ball/strike call (high or low) advanced technology will provide an augmented reality for umpires, it will help them better see what they see. The home plate umpire will touch a receiver on his belt and receive a signal, such as a buzz, to help him better call a pitch.
  • There will be no American League and National League, it will all be under one MLB. There will be no Oakland Athletics or Tampa Bay Rays. The game will not expand to Mexico or Japan or Las Vegas. Instead, it will contract from 30 to 28 teams. That will make scheduling easier and more equitable: All teams will play each other six times, 27 times six equals 162. The top 10 teams in the game will make the playoffs.

From Will:

“Philosophy,” wrote Ludwig Wittgenstein, “is a battle against the bewitchment of our intelligence by means of language.” Baseball has found its Wittgenstein.

Or, more precisely, another Wittgenstein. Keith Law, a senior baseball writer and analyst for ESPN, is a member of the growing cohort of exasperated baseball analysts who persuasively argue against what they consider the bewitchment of the sport’s intelligence by outdated or ill-considered metrics.

The title, and especially the subtitle, of Mr. Law’s book—Smart Baseball: The Story Behind the Old Stats That Are Ruining the Game, the New Ones That Are Running It, and the Right Way to Think About Baseball—indicates he did not get the memo recommending intellectual tentativeness. In today’s garden of baseball journalism, the flora includes many practitioners who are not shrinking violets, and Mr. Law himself is a human cactus with a prickly impatience regarding those he considers slow learners.

Baseball is the sport with the longest season: 162 games before 10 teams play on into October, with two often finishing in early November. As a game of distinct episodes—pitch by pitch, out by out, inning by inning—it generates an ever-richer sediment of data as new technologies yield ever-more refined measurements: spin rates of pitches, “tilts” (angles of break) of sliders, launch angles of swings, exit velocities of balls coming off bats, and so on. These measurements are massaged by a new generation of mostly young and well-educated front-office “quants.” All 30 teams have analytics departments; the Astros have a “director of decision sciences.” Many of these savants’ baseball-playing careers peaked in Little League. They work, not always harmoniously, with their teams’ managers, who are expected to use the data when putting together lineups and making in-game decisions.

Mr. Law’s demolition derby begins by disparaging the hitting and pitching metrics we grew up reading beneath the bubblegum residue on the backs of baseball cards—batting averages, runs batted in, wins, saves, fielding percentage. •

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“It started off as a kind of utopian promise,” Andrew O’Hagan writes of the Internet in a new Guardian essay that meditates on the death of privacy and, perhaps, the novel. During Web 1.0, some worried that this new-to-the-masses technology would be co-opted, watered down and lose it’s anarchic spirit, becoming a tool of corporations and governments. Never let it be tamed, they exhorted. Well, it never has been tamed and still has become a tool of corporations and governments. The anarchy is actually useful to them (see U.S. Presidential election, 2016).

The thing is, we’re still in the prelude of what the Internet will become and of what being connected will mean. Marshall McLuhan feared the Global Village, and we’re going to experience a version of it beyond what the visionary contemplated. That’s what the Internet of Things will effect, with every last object becoming a computer. It will bring great benefits while also being a machine with no OFF switch. We’ll all permanently be inside a contraption that may be antithetical to human nature. It will contain sensors but perhaps not sense.

As far as O’Hagan’s fears about the effect of social media on fiction, I addressed a similar subject in a 2015 essay about Charlie Brooker’s outstanding television program Black Mirror:

It’s tough being Paddy Chayefsky these days. Charlie Brooker, the brilliant satirist behind Black Mirror, comes closest. If he doesn’t make it all the way there, it’s not because he’s less talented than the Network visionary; it’s just that the era he’s working in is so different. I’ve read many articles about Brooker’s impressive program and pretty much all of them miss the point I believe he’s making about our brave new world of technology. That includes Jenna Wortham’s New York Times Magazine essay, which referred to Mirror as “functioning as a twisted View-Master of many different future universes where things have strayed horribly off-course.” The Channel 4 show is barely about the future. It’s mostly about the present. And it isn’t about the present in the manner of many sci-fi works, which create outlandish scenarios which can never really be in the service of telling us about what currently is. Brooker’s scenarios aren’t the exaggerations they might seem at first blush. In almost no time, our hyperconnected world delivers something far more disturbing than his narratives.

Chayefsky and Andy Warhol and Marshall McLuhan could name the future and we’d wait 25 or 50 years as their predictions slowly gestated, only becoming fully manifest at long last. None of that trio of seers even lived long enough to experience the full expression of Mad As Hell of 15 Minutes of Fame or the Global Village. Brooker will survive to see all his predictions come to pass, and it won’t require an impressive lifespan.•

O’Hagan, author of The Secret Life: Three True Stories of the Digital Age, believes that since we’ve surrendered an interior life (“everything became fake”), there really isn’t even a way to observe the present let alone predict the future, and that writers and readers alike are being wrecked by living in public. The novel is a dogged form and may find a way to persist regardless of each of us living in our own Reality TV show while being flattered by or fired upon by armies of bots. Perhaps it can serve as an antidote to such an existence? The writer himself believes that could be the ultimate outcome. Regardless, his excellent essay is one that can be meditated on in myriad ways.

An excerpt:

The other day I taped over the camera on my computer. Then I went upstairs and disabled the data collection capability on the TV. Because of several stories of mine, I’d suffered a few cyber-attacks recently, and, though a paragon of dullness, I decided to greet the future by making it harder to find me. One of the great fights of the 21st century will be the fight for privacy and self-ownership, which is also, to my mind, the struggle for literature as distinct from the dark babble of social media. Writers thrive on privacy, not on Twitter, and so do readers when the lights are low. Giving your sentences thoughtlessly away, and for nothing, seems a small death to contemplation, and does harm to the profession of writing, where you’re paid because you’re good at it. We are all entertainers now, politicians are theatrical in their every move, but even merely passable writers have something large at stake when it comes to opposing the global stupidity contest. Literature, which includes great journalism, might enhance the public sphere but it more precisely enriches the private one, and we are now at the point where privacy, the whole secret history of a people, might be the only corrective we have to the political forces embezzling our times.

In the interests of “national security”, in the service of “global harmony”, you are now obliged to become your own Winston Smith, both watched and self-watching. The TV downstairs may not be “off” at all – it may be “fake-off”, a condition defined in a joint programme of June 2014 between the CIA and MI5 called “Weeping Angel”. (Certain models of televisions are programmed to stay on, with their cameras operative, and the “data” they collect can be harvested by agencies.) The principle, as with Britain’s Prevent campaign, is to assume that everyone with a private life might have something to hide, which means that nobody, in the future, unless they have sinister motives, should expect the luxury of privacy. Some TVs and all phones operate “as a bug, recording conversations in the room and sending them over the internet to a covert CIA server”, reported WikiLeaks as it released the “Weeping Angel” documents. Being bugged at home or stopped and searched in the street and having your “information” handed to security agencies are now understood to be security measures, and questioning it will make you an enemy of the Daily Mail’s “common sense”. One doesn’t have to be much of a freedom fighter nowadays to be branded a member of the “liberalocracy”: all you have to do is believe in free speech and freedom of movement, and stand up for basic rights of sovereignty over your own thinking. Only recently have these sanctities been taken for the demands of a potential terrorist.•

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The very idea of a World’s Fair seems antiquated. No one really has to travel anywhere to see the future when we hold supercomputers in our palms. And the idea of roping off tomorrow for us too gaze at from a safe distance is an anachronism. What’s next happens all around us all the time, and when every object becomes a computer, we’ll be deeply and permanently within the experiment, resting, if uneasily, inside the machine.

Somehow Kazakhstan didn’t get the memo. The former Soviet nation is currently hosting EXPO 2017, which cost billions to create, in what’s a bewilderingly remote location. Almost nobody has shown up to look at the “City of the Future,” for instance, because they already live there. While that’s truer in the West than in the developing world, such events are headed for obsolescence everywhere in an increasingly wired, connected world.

Beyond modern technological and cultural dynamics, blame has to fall on autocratic President Nursultan Nazarbayev, who foolishly hoped the huge outlay would burnish Kazakhstan’s world image. It’s an ill-considered vanity project hatched by a repressive regime. While China has been able to successfully stage similar events in the recent past, large-scale authoritarian dreams can fail spectacularly even if the people are essentially forced to purchase tickets.

James Palmer penned a smart article on the perplexing project for Foreign Policy, reporting that one resident told him the “government is running tramps through the turnstiles to keep the numbers up.” The opening:

ASTANA, Kazakhstan    I was the only visitor in Greece. As I walked through the tunnel of philosophers, eager young Kazakhs accosted me. “This is the Greek alphabet! It has 24 characters, and it was the original language of science. Here, please, come and take a photo by the sea.” They hustled me over to a Mediterranean backdrop. They outnumbered me five to one, I succumbed to relentless explanation.

It was a sunny afternoon on the second day of EXPO 2017, held on the outskirts of Astana, the capital of Kazakhstan. The Expo boasts of being “the Olympics of economy, business, and culture,” a global event where each participating country showcases its national achievements in its own “pavilion” and crowds come to see pieces of the wider world. But today — at the first Expo ever held in a post-Soviet state — there weren’t any crowds.

The Expo was being held on the outskirts of Astana, near one of the city’s many construction sites, in a purpose-built park. Dubbed a “future city” but looking more like a vast conference center, the organizers claimed the site was self-powered, fueled by a mix of wind and water. Each pavilion takes up anywhere from one room to several floors in a giant ring of new buildings built to encircle a great sphere of black glass at the center, the Kazakhstan pavilion. Viewed from the west, the dome loomed over neighboring apartment buildings. “There’s two big ways to piss off the Kazakhs,” a delegate commented, “Mention Borat, or call the dome the Death Star.”

The obvious lack of attendees, by contrast, didn’t require mentioning. Greece wasn’t the only deserted pavilion. Many were barren of anyone except staff. A few of the big names — China, Germany, the United States — had clusters of a couple of dozen visitors at a time, but outside most nations I snaked my way through empty rail guards. On the avenues outside, two out of every three people were wearing lanyards. I eavesdropped on a conversation between two European delegates: “We have to plan for the worst-case scenario — if there are no visitors to our event.”•

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Ducklings, like the babies of pretty much any species, are adorable. Full-grown ducks seem to me to be kind of assholes. Not killing machines like owls or heartless predators like vultures, but irritating. Always quacking. Fuck off. I don’t care for the attitude.

· · ·

Louis CK, also sort of an asshole, has spoken of duck genitalia: “I’ve heard that ducks have one hole, and they pee out of it, and they shit out of it, they get fucked in it, and they lay eggs out of it. That has got to be one dirty, smelly hole.” That being said, Louis still seems far pervier.

· · ·

In a fascinating Spiegel Q&A, Johann Grolle questions ornithologist Richard Prum about duck copulation, a process that sounds like a nightmare. The opening (so to speak):

Spiegel:

Professor Prum, among all the wonders of nature you were most inspired by the sex of ducks. Why?

Richard Prum:

For a long time, I have been fascinated by the sex life of birds. But there is probably no other species where the deep sexual conflict between male and female sex is as blatant as in ducks.

Spiegel:

And so you started studying their genitalia?

Richard Prum:

No, it was actually even more simple than that. I had a prospective post-doctoral student who was looking for something to do, and she was interested in studying genitalia. I said to myself: Well, I have never worked on that end of the bird before. As a result, we studied duck sex intensively for six, seven years.

Spiegel:

What surprised you most?

Richard Prum:

Oh, there were many surprises. Not the least that we had all these descriptions of duck genitalia, and when we looked ourselves, we said: There is almost nothing to see. How could this be? That is how we discovered that the genitalia of ducks regress and regrow each year, so that a 10- or 15-centimeter penis in the summer will reduce to less than 1 centimeter in the winter and then grow back the next year.

Spiegel:

This is part of the sexual conflict you mentioned before? 

Richard Prum:

Yes, indeed. Mate choice occurs first. In winter the males do these elaborate displays, and the females choose the one they like most. Because, parallel to the evolution of the males’ display behavior, the females have evolved preferences for these displays. We call this “coevolution.”

Spiegel:

So far, this sounds quite harmonious.

Richard Prum:

Yes, it is. The pairs stay together until the clutch is laid and the females incubate. The conflict part comes next. Because now some of the males pursue an alternative mating strategy, which is to violently enforce copulation. For this they make use of their penis, which is regrown by now. This penis is a very bizarre structure. It is counterclockwise coiled, and erection takes place in less than half a second. Erection, penetration and ejaculation in ducks is one and the same event, and it happens very, very rapidly.

Spiegel:

How do the females react?

Richard Prum:

It’s very interesting.•


“A huge barrel of fucking duck vaginas.”

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Those who are no position to talk are often the loudest of all. Those most in need of improvement are frequently the least likely to seek it. Projection of inner turmoil is a key component in the creation of a sick society, a hellscape for destroyers and their dictator.

Regardless of what anyone thinks of his system and methods, it’s no small irony that Sigmund Freud died against the backdrop of one of the worst explosions of repressed rage the world has ever known. The Jewish “Father of Psychoanalysis” was hectored and hounded in his dying years by Nazis, who desperately needed the very inspection of self he encouraged. Freud ultimately fled Austria in a weakened state and died in London. All four of his elderly sisters would were unable to escape Vienna ultimately be killed in concentration camps.

Three Brooklyn Daily Eagle articles below tell part of the story.

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From March 22, 1938:

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From June 4, 1938:

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From September 24, 1939.

Here in America–as in many other places in the world–we live in desperate times, barely capable of running our country despite great wealth, so the idea of us engineering new forms of life or even an entire universe seems beyond reason. Have we earned the right to play creator?

Freeman Dyson has written of a revolutionary vision for next-level space colonization, suggesting we design a baseball-sized, biotech Noah’s Ark that can “seed” the Milky Way with millions of species of life. “Sometime in the next few hundred years,” he’s theorized, “biotechnology will have advanced to the point where we can design and breed entire ecologies of living creatures adapted to survive in remote places away from Earth.” Dyson believes this scenario favorable to launching humans (as we know them) into radically unforgiving environments.

That’s mind-blowing enough, but some theoretical physicists takes matters a giant leap further, wondering if we can actually create new baby universes in vitro. Zeeya Merali, author of A Big Bang in a Little Room, has a smart Aeon article on the moral implications of “cosmogenesis.” She interviews Anders Sandberg, among others, on the thorny topic. The opening:

Physicists aren’t often reprimanded for using risqué humour in their academic writings, but in 1991 that is exactly what happened to the cosmologist Andrei Linde at Stanford University. He had submitted a draft article entitled ‘Hard Art of the Universe Creation’ to the journal Nuclear Physics B. In it, he outlined the possibility of creating a universe in a laboratory: a whole new cosmos that might one day evolve its own stars, planets and intelligent life. Near the end, Linde made a seemingly flippant suggestion that our Universe itself might have been knocked together by an alien ‘physicist hacker’. The paper’s referees objected to this ‘dirty joke’; religious people might be offended that scientists were aiming to steal the feat of universe-making out of the hands of God, they worried. Linde changed the paper’s title and abstract but held firm over the line that our Universe could have been made by an alien scientist. ‘I am not so sure that this is just a joke,’ he told me. 

Fast-forward a quarter of a century, and the notion of universe-making – or ‘cosmogenesis’ as I dub it – seems less comical than ever. I’ve travelled the world talking to physicists who take the concept seriously, and who have even sketched out rough blueprints for how humanity might one day achieve it. Linde’s referees might have been right to be concerned, but they were asking the wrong questions. The issue is not who might be offended by cosmogenesis, but what would happen if it were truly possible. How would we handle the theological implications? What moral responsibilities would come with fallible humans taking on the role of cosmic creators?•

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Almost developing a driverless car isn’t nearly the same thing as perfecting a fully driverless one, that last two or three percent to be worked out making all the difference. Getting most of the way there is useful but not transformational. When autonomous has truly arrived it will impact environment, safety, economics, law and urban, suburban and rural life in myriad ways. 

Mary Barra just announced GM is deploying a new fleet of (almost) driverless vehicles for testing. Despite the bold headlines, that’s no so different than what other traditional automakers and Silicon Valley startups are doing, though the company is stressing that it’s uniquely positioned to mass-produce the cars once autonomous is a going concern–whenever that is. If money and talent are mainly what’s required, the industry has those factors covered. GM alone is spending $600 million annually on their division and is in the process of recruiting nearly 1,200 additional engineers.

While those are solid, well-paying positions, the lucky new hires endeavoring to remove human hands from the wheel will also, if successful, be disappearing millions of blue-collar jobs. That will make us richer in the aggregate but put undue pressure on segments of society, though as Nicholas Carr recently wrote, the promised AI-induced jobspocalypse has yet to materialize despite all the bold predictions. Has our “death” been greatly exaggerated or just deferred?

My best guess is that new tools, once envisioned, often take longer to perfect than we hope (or fear)–remember that Lillian Ross reported on VCRs and a Netflix-like service in 1970! The process, however, may speed ahead faster now than in the past because tools today are cheaper and more powerful. It’s probably more a question of whether we’ll produce an adequate array of new positions to replace the old ones and enable workers to educate and re-educate themselves to continually cope with shifting landscapes.

Two excerpts follow, the first about GM’s announcement, and the second concerning AI’s possible impact on the middle class.•


From Brent Snavely in USA Today:

LAKE ORION, Mich. — General Motors said Tuesday it has finished making 130 self-driving Chevrolet Bolt test vehicles, an achievement that the automaker says will help put it at the forefront of the race to develop and deploy autonomous cars.

CEO and Chairman Mary Barra said GM is the only automaker currently capable of mass-producing self-driving vehicles.

“The autonomous vehicles you see here today are purpose-built, self-driving test vehicles,” Barra said before several hundred employees gathered at the plant in Lake Orion, Mich., Tuesday. “The level of integration in these vehicles is on par with any of our production vehicles, and that is a great advantage. In fact, no other company today has the unique and necessary combination of technology, engineering and manufacturing ability to build autonomous vehicles at scale.”

The self-driving version of the Chevrolet Bolt is the second generation of vehicles capable of handling nearly all road situations on their own without driver intervention. They are equipped with the latest array of equipment, including cameras, radar, sensors and other hardware designed and built by GM and its suppliers.

The new version of the self-driving Bolts must still be driven with a person behind the wheel who is alert and ready to take control if necessary.•


From Cade Metz at Wired:

IN FEBRUARY 1975, a group of geneticists gathered in a tiny town on the central coast of California to decide if their work would bring about the end of the world. These researchers were just beginning to explore the science of genetic engineering, manipulating DNA to create organisms that didn’t exist in nature, and they were unsure how these techniques would affect the health of the planet and its people. So, they descended on a coastal retreat called Asilomar, a name that became synonymous with the guidelines they laid down at this meeting—a strict ethical framework meant to ensure that biotechnology didn’t unleash the apocalypse.

Forty-two years on, another group of scientists gathered at Asilomar to consider a similar problem. But this time, the threat wasn’t biological. It was digital. In January, the world’s top artificial intelligence researchers walked down the same beachside paths as they discussed their rapidly accelerating field and the role it will play in the fate of humanity. It was a private conference—the enormity of the subject deserves some privacy—but in recent days, organizers released several videos from the conference talks, and some participants have been willing to discuss their experience, shedding some light on the way AI researchers view the threat of their own field.

Yes, they discussed the possibility of a superintelligence that could somehow escape human control, and at the end of the month, the conference organizers unveiled a set of guidelines, signed by attendees and other AI luminaries, that aim to prevent this possible dystopia. But the researchers at Asilomar were also concerned with more immediate matters: the effect of AI on the economy.

“One of the reasons I don’t like the discussions about superintelligence is that they’re a distraction from what’s real,” says Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence, who attended the conference. “As the poet said, have fewer imaginary problems and more real ones.”

At a time when the Trump administration is promising to make America great again by restoring old-school manufacturing jobs, AI researchers aren’t taking him too seriously. They know that these jobs are never coming back, thanks in no small part to their own research, which will eliminate so many other kinds of jobs in the years to come, as well. At Asilomar, they looked at the real US economy, the real reasons for the “hollowing out” of the middle class. The problem isn’t immigration—far from it. The problem isn’t offshoring or taxes or regulation. It’s technology.•

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Still haven’t written my thoughts on Garry Kasparov’s Deep Thinking. Will do so soon, I promise. For whatever philosophical differences I have with the author on technology, the long centerpiece about his pair of matches with Deep Blue in ’96 and ’97 is riveting. It’s also revealing in surprising ways, about both humans and machines.

In a New Scientist Q&A conducted by Sean O’Neill, the chessman is asked about surveillance, a topic which receives a scant few pages in his book, but I believe the question posed is the wrong one. The reporter wonders about new technologies being hoarded by the “ruling class,” which is silly, because these tools, ever cheaper and more powerful, will snake their way through every inch of society. Artificial Intelligence will be useful in countless ways, but it will just as surely enable the anarchy of the Internet to be visited upon the physical world. The problem we face isn’t that it may be controlled but that it absolutely cannot be. There’s no going back (nor should there be), but this progress will be attended by regress. Constantly trying to separate those realities will be our task–our burden.

An excerpt:

Question:

What happens if AI, high-tech surveillance, military tech, and communications are sewn up by the ruling class?

Garry Kasparov:

Ruling class? Sounds like Soviet propaganda! New tech is always expensive and employed by the wealthy and powerful even as it provides benefits and trickles down into every part of society. But it seems fanciful – or dystopian – to think there will be a harmful monopoly. AI isn’t a nuclear weapon that can or should be under lock and key; it’s a million different things that will be an important part of both new and existing technology. Like the internet, created by the US military, AI won’t be kept in a box. It’s already out.

Question:

Will handing off ever more decisions to AI result in intellectual stagnation?

Garry Kasparov:

Technology doesn’t cause intellectual stagnation, but it enables new forms of it if we are complacent. Technology empowers intellectual enrichment and our ability to indulge and act on our curiosity. With a smartphone, for example, you have the sum total of human knowledge in your pocket and can reach practically any person on the planet. What will you do with that incredible power? Entertain yourself or change the world?•

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Walt Mossberg, who’s been covering technologies for assorted periodicals since the advent of the dandy horsejust retired from his brilliant career, filing one last column for the Verge about what will come next in the Digital Age.

He foresees “ambient computing” becoming prevalent and that’s a safe bet. The problem is, such seamlessness almost invites abuse. Mossberg advises there’ll have to be an intensive tandem effort by private industry and the federal government to ensure safety and privacy, but as we are currently witnessing with the Trump Administration, the public sector can also introduce surprising disruptions, and such unfortunate twists may be even more punitive when the tools that quietly surround us, barely making a hum, become infinitely more powerful and intrusive.

An excerpt:

I expect that one end result of all this work will be that the technology, the computer inside all these things, will fade into the background. In some cases, it may entirely disappear, waiting to be activated by a voice command, a person entering the room, a change in blood chemistry, a shift in temperature, a motion. Maybe even just a thought.

Your whole home, office and car will be packed with these waiting computers and sensors. But they won’t be in your way, or perhaps even distinguishable as tech devices.

This is ambient computing, the transformation of the environment all around us with intelligence and capabilities that don’t seem to be there at all. …

Some of you who’ve gotten this far are already recoiling at the idea of ambient computing. You’re focused on the prospects for invasion of privacy, for monetizing even more of your life, for government snooping and for even worse hacking than exists today. If the FBI can threaten a huge company like Apple over an iPhone passcode, what are your odds of protecting your future tech-dependent environment from government intrusion? If British hospitals have to shut down due to a ransomware attack, can online crooks lock you out of your house, office, or car?

Good questions.

My best answer is that, if we are really going to turn over our homes, our cars, our health, and more to private tech companies, on a scale never imagined, we need much, much stronger standards for security and privacy than now exist. Especially in the US, it’s time to stop dancing around the privacy and security issues and pass real, binding laws.•

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The funny thing about the titanic 1997 battle between Garry Kasparov and Deep Blue was that the outcome, so highly anticipated, was a moot point. Within a few years, Moore’s Law was going to make smart machines king regardless of what happened during those tense days in New York City. The match was important to Kasparov’s ego and IBM’s stock price, but the result in a bigger sense was fait accompli.

The fundamental difference between IBM’s two-decade-ago triumph and AlphaGo’s recent stunners is that the latter employed Deep Learning (to an extent) to teach itself. That was necessary since the ancient Chinese game is magnitudes more complex. One important similarity, however, is that world Go champion Ke Jie echoed Kasparov in his comments about the frailty of a human in a contest with a machine, acknowledging that his emotions were not an ally. “Maybe because I was too excited,” he said “I made some stupid moves. Maybe that’s the weakest part of human beings.”

“The future belongs to AI,” the human player concluded, broadly extrapolating his trouncing. 

In a Guardian article, Tim Dunlop agrees that the Go victory does in fact have wide-ranging implications, especially for the future of work. He suggests we should consider consciously uncoupling work from salaries, something that’s already getting a dress rehearsal if you consider the hundreds of millions among us already creating free content for Facebook and Twitter and Instagram. The writer offers an extremely hopeful take about the potential nature of this new normal should we be able to abandon our traditional work ethic.

An excerpt:

In Go, there are more possible moves than there are atoms in the universe, so number-crunching is not enough: a computer simply cannot memorise every possible Go move, or even a significant fraction of them. The program therefore needs to be able to “think”, to understand the state of play and develop a strategy in order to win. Until recently we could kid ourselves that there was something uniquely human about this type of intelligence, but no more.

This has enormous implications for the future of work.

Work, broadly defined, is likely to always be at the centre of human self-worth. We are embodied creatures and we understand ourselves by interacting with our environment physically and mentally. It’s this embodiment that makes us different from machines and why machines will never actually think like us, no matter how smart they get. For humans, it is meaningful to do work of many different kinds and we will always find work to do that we find satisfying and fulfilling.

The problem is that work has come to mean “a paid job” and, for most us, that means working for someone else. Under these circumstances, we value “work” less for the improvement to our self-worth it brings us as embodied human beings than for the fact that we have to sell our labour to earn a wage in order to survive.

So when economists tell us that we don’t need to worry about robots taking our jobs because technology will create new jobs, they are basically arguing for perpetuation of this status quo, where the few employ the many and where “work” is a paid job. In fact, more than that, they are defining us as mere units of production, inputs into the economy, rather than as embodied beings seeking meaning by interacting with the world around us.

But in a world of incredibly smart machines, is this really the best future we can imagine for ourselves? After all, there is nothing intrinsic to human self-worth about selling your labour to the owners of capital. In fact, in many ways it represents the worst of us, an exercise in exploitation, where the few wield power and control over the many.

Is it possible that the rise of ever-smarter machines, those exemplified by AlphaGo, may offer us a way out?•

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