Author Archives: Attention to the Unseen

What it feels like to be an octopus

Regan Penaluna writes: In a recent Sunday, at my local Italian market, I considered the octopus. To eat the tentacle would be, in a way, like eating a brain — the eight arms of an octopus contain two-thirds of its half billion neurons. Delicious for some, yes — but for others, a jumping off point for the philosophical question of other minds.

“I do think it feels like something to be an octopus,” says Peter Godfrey-Smith, a professor of philosophy at CUNY Graduate Center, who has spent almost a decade considering the idea. Stories of octopuses’ remarkable ability to solve puzzles, open bottles, and interact with aquarium caretakers, suggest an affinity between their intelligence and our own. He wonders: What, if anything, is going on in its head — or as may be the case, its arms? The rest of its neurons are contained in lobes wrapping around its esophagus and sitting behind its eyes. This alien-like physiology is the result of almost 600 million years of evolution that separate us.

Since a 2008 dive off the coast of Sydney, Australia, where Godfrey-Smith encountered curious, 3-foot long cuttlefish, he’s been fascinated by the minds of cephalopods, which have the largest nervous systems of all the invertebrates. He’s teamed up with scientists to uncover their secret lives and behaviors, publishing in scientific journals and also a blog, where you can follow his adventures with posts that blend “natural history and philosophy.” He has a book coming out at the end of the year called Other Minds, which digs into how the octopus helps us understand the evolution of subjective experience. “I think cephalopods have a special kind of otherness, because they are organized so differently from us and diverged evolutionarily from our line so long ago,” he says. “If they do have minds, theirs are the most other minds of all.” [Continue reading…]

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The people whose lives are controlled by machines

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Kao Kalia Yang writes: My life in America has been a series of days spent within the confines of factories. For the last twenty-two years, I have worked with machines. Since we came to this country I have worked for three different companies. I was an assembler in a company that made coolant systems for cars. I was a general machinist for a second company that made wooden plaques and metal awards. With the most recent company, I was a second-shift polisher for different components that are used in industries such as canning and oil drilling. There have been moments in each of these jobs when my supervisors said in different ways, ‘Bee, you are not here to talk to me. You are here to talk to machines.’

In America, my voice is only powerful within our home. The moment I exit our front door and enter the paved roads, my deep voice loses its volume and its strength. When I speak English, I become like a leaf in the wind. I cannot control the direction my words will fly in the ear of the other person. I try to soften my landing in the language by leaving pauses between each word. I wrestle with my accent until it is a line of breath in the tightness of my throat. I greet people. I ask for directions. I say thank you. I say goodbye. I only speak English at work when it is necessary. I don’t like the weakness of my voice in English, but what I struggle with most is the weakness of my words.

In Hmong, my children hear so much of my words that sometimes I know they become heavy with the meaning I want to impart. I tell my children that my work in America is not important, but I work hard so that one day their work will be. I tell them that my big dream is for one of them to become an international human rights lawyer and bring justice to stories and lives like ours. I want one son or daughter to cross over the petty barriers erected by nations and states and stand firm for those who do not belong to these definitions. [Continue reading…]

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Why are we becoming so narcissistic? Here’s the science

By Olivia Remes, University of Cambridge

The subject of narcissism has intrigued people for centuries, but social scientists now claim that it has become a modern “epidemic”. So what is it, what has led to its increase, and is there anything we can do about it?

In the beginning

The term narcissism originated more than 2,000 years ago, when Ovid wrote the legend of Narcissus. He tells the story of a beautiful Greek hunter who, one day, happens to see his reflection in a pool of water and falls in love with it. He becomes obsessed with its beauty, and is unable to leave his reflected image until he dies. After his death, the flower narcissus grew where he lay.

Narcissus: the ego flower.
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The concept of narcissism was popularised by the psychoanalyst Sigmund Freud through his work on the ego and its relationship to the outside world; this work became the starting point for many others developing theories on narcissism.

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The secret of our evolutionary success is faith

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Brian Gallagher writes: The staunch atheist and essayist Christopher Hitchens once said that “the most overrated of the virtues is faith.” It’s a reasonable conclusion if you believe, as the astrophysicist Carl Sagan did, that “extraordinary claims require extraordinary evidence.” To believe something without evidence — or have faith — is, in their view, something to avoid (and, when called for, to mock).

Yet it was arguably faith — rather than reason — that had been instrumental to our ancestors’ survival. That’s just one of the many intriguing and paradoxical claims that Joseph Henrich, an evolutionary anthropologist at Harvard University, defends in his new book, The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter. His central thesis, reiterated confidently, is that natural selection — the mechanism of biological evolution — is not the “only process capable of creating complex adaptations.” Cultural evolution, he says, is quite capable of generating “complex adaptive products” essential to our survival, which no one designed or understood “before they emerged.”

Consider, for example, the art of hunting, a complex adaptive product that Henrich unpacks in a section titled “Divination and Game Theory.” To decide where to go looking for caribou, the hunters of the Naskapi tribe, in Labrador, Canada, would not do something most would consider common sense: Go to the spot where you last killed some. That tactic would be ineffective because the caribou know to avoid places where their comrades were last slayed. Of course, the Naskapi don’t realize this; the reason they don’t go to the spot of their last kill is because they rely on the result of a ritual to point the way instead. [Continue reading…]

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Mysterious chimpanzee behaviour may be evidence of ‘sacred’ rituals

By Laura Kehoe, Humboldt University of Berlin

I trampled clumsily through the dense undergrowth, attempting in vain to go a full five minutes without getting snarled in the thorns that threatened my every move. It was my first field mission in the savannahs of the Republic of Guinea. The aim was to record and understand a group of wild chimpanzees who had never been studied before. These chimps are not lucky enough to enjoy the comforts of a protected area, but instead carve out their existence in the patches of forests between farms and villages.

We paused at a clearing in the bush. I let out a sigh of relief that no thorns appeared to be within reach, but why had we stopped? I made my way to the front of the group to ask the chief of the village and our legendary guide, Mamadou Alioh Bah. He told me he had found something interesting – some innocuous markings on a tree trunk. Something that most of us wouldn’t have even noticed in the complex and messy environment of a savannah had stopped him in his tracks. Some in our group of six suggested that wild pigs had made these marks, while scratching up against the tree trunk, others suggested it was teenagers messing around.

But Alioh had a hunch – and when a man that can find a single fallen chimp hair on the forest floor and can spot chimps kilometres away with his naked eye better than you can (with expensive binoculars) as a hunch, you listen to that hunch. We set up a camera trap in the hope that whatever made these marks would come back and do it again, but this time we would catch it all on film.

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Blind faith in robots

Melissa Dahl writes: The fire alarm goes off, and it’s apparently not a mistake or a drill: Just outside the door, smoke fills the hallway. Luckily, you happen to have a guide for such a situation: a little bot with a sign that literally reads EMERGENCY GUIDE ROBOT. But, wait — it’s taking you in the opposite direction of the way you came in, and it seems to be wanting you to go down an unfamiliar hallway. Do you trust your own instinct and escape the way you came? Or do you trust the robot?

Probably, you will blindly follow the robot, according to the findings of a fascinating new study from the Georgia Institute of Technology. In an emergency situation — a fake one, though the test subjects didn’t know that — most people trusted the robot over their own instincts, even when the robot had showed earlier signs of malfunctioning. It’s a new wrinkle for researchers who study trust in human-robot interactions. Previously, this work had been focused on getting people to trust robotics, such as Google’s driverless cars. Now this new research hints at another problem: How do you stop people from trusting robots too much? It’s a timely question, especially considering the news this week of the first crash caused by one of Google’s self-driving cars. [Continue reading…]

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Crawick Multiverse: A former opencast coal mine transformed into a cosmic landscape

Crawick Multiverse

Philip Ball writes: When work began in 2012, the excavations unearthed thousands of boulders half-buried in the ground. [Charles] Jencks used them to create a panorama of standing stones and sculpted tumuli, organised to frame the horizon and the Sun’s movements.

“One theory of pre-history is that stone circles frame the far hills and key points, and while I wanted to capture today’s cosmology, not yesterday’s, I was aware of this long landscape tradition,” Jencks says.

The landscape also explores the idea that our Universe is just one of many.

Over the last decade or so, the argument for a plurality of universes has moved from fringe speculation to seriously entertained possibility. One leading multiverse theory supposes that other universes are continually being spawned in an ongoing process of “eternal inflation” – the same that caused our own Universe’s Big Bang 13.7 billion years ago.

These are the theories explored on this Scottish hillside. [Continue reading…]

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Astronomers just saw farther back in time than they ever have before

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The Washington Post reports: To look through the lens of a telescope is to peer back in time.

The light we view through it has spent hundreds, millions, even billions of years crossing the vastness of space to reach us, carrying with it images of things that happened long ago.

On Thursday, astronomers at the Hubble Space Telescope announced that they’d seen back farther than they ever have before, to a galaxy 13.4 billion light years away in a time when the universe was just past its infancy.

The finding shattered what’s known as the “cosmic distance record,” illuminating a point in time that scientists once thought could never be seen with current technology.

“We’ve taken a major step back in time, beyond what we’d ever expected to be able to do with Hubble,” Yale University astrophysicist Pascal Oesch, the lead author of the study, said in a statement. [Continue reading…]

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Inside the artificial intelligence revolution

Rolling Stone reports: “Welcome to robot nursery school,” Pieter Abbeel says as he opens the door to the Robot Learning Lab on the seventh floor of a sleek new building on the northern edge of the UC-Berkeley campus. The lab is chaotic: bikes leaning against the wall, a dozen or so grad students in disorganized cubicles, whiteboards covered with indecipherable equations. Abbeel, 38, is a thin, wiry guy, dressed in jeans and a stretched-out T-shirt. He moved to the U.S. from Belgium in 2000 to get a Ph.D. in computer science at Stanford and is now one of the world’s foremost experts in understanding the challenge of teaching robots to think intelligently. But first, he has to teach them to “think” at all. “That’s why we call this nursery school,” he jokes. He introduces me to Brett, a six-foot-tall humanoid robot made by Willow Garage, a high-profile Silicon Valley robotics manufacturer that is now out of business. The lab acquired the robot several years ago to experiment with. Brett, which stands for “Berkeley robot for the elimination of tedious tasks,” is a friendly-looking creature with a big, flat head and widely spaced cameras for eyes, a chunky torso, two arms with grippers for hands and wheels for feet. At the moment, Brett is off-duty and stands in the center of the lab with the mysterious, quiet grace of an unplugged robot. On the floor nearby is a box of toys that Abbeel and the students teach Brett to play with: a wooden hammer, a plastic toy airplane, some giant Lego blocks. Brett is only one of many robots in the lab. In another cubicle, a nameless 18-inch-tall robot hangs from a sling on the back of a chair. Down in the basement is an industrial robot that plays in the equivalent of a robot sandbox for hours every day, just to see what it can teach itself. Across the street in another Berkeley lab, a surgical robot is learning how to stitch up human flesh, while a graduate student teaches drones to pilot themselves intelligently around objects. “We don’t want to have drones crashing into things and falling out of the sky,” Abbeel says. “We’re trying to teach them to see.”

Industrial robots have long been programmed with specific tasks: Move arm six inches to the left, grab module, twist to the right, insert module into PC board. Repeat 300 times each hour. These machines are as dumb as lawn mowers. But in recent years, breakthroughs in machine learning – algorithms that roughly mimic the human brain and allow machines to learn things for themselves – have given computers a remarkable ability to recognize speech and identify visual patterns. Abbeel’s goal is to imbue robots with a kind of general intelligence – a way of understanding the world so they can learn to complete tasks on their own. He has a long way to go. “Robots don’t even have the learning capabilities of a two-year-old,” he says. For example, Brett has learned to do simple tasks, such as tying a knot or folding laundry. Things that are simple for humans, such as recognizing that a crumpled ball of fabric on a table is in fact a towel, are surprisingly difficult for a robot, in part because a robot has no common sense, no memory of earlier attempts at towel-folding and, most important, no concept of what a towel is. All it sees is a wad of color. [Continue reading…]

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