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Lawrence Hrubes

The Great A.I. Awakening - The New York Times - 1 views

  • Translation, however, is an example of a field where this approach fails horribly, because words cannot be reduced to their dictionary definitions, and because languages tend to have as many exceptions as they have rules. More often than not, a system like this is liable to translate “minister of agriculture” as “priest of farming.” Still, for math and chess it worked great, and the proponents of symbolic A.I. took it for granted that no activities signaled “general intelligence” better than math and chess.
  • A rarefied department within the company, Google Brain, was founded five years ago on this very principle: that artificial “neural networks” that acquaint themselves with the world via trial and error, as toddlers do, might in turn develop something like human flexibility. This notion is not new — a version of it dates to the earliest stages of modern computing, in the 1940s — but for much of its history most computer scientists saw it as vaguely disreputable, even mystical. Since 2011, though, Google Brain has demonstrated that this approach to artificial intelligence could solve many problems that confounded decades of conventional efforts. Speech recognition didn’t work very well until Brain undertook an effort to revamp it; the application of machine learning made its performance on Google’s mobile platform, Android, almost as good as human transcription. The same was true of image recognition. Less than a year ago, Brain for the first time commenced with the gut renovation of an entire consumer product, and its momentous results were being celebrated tonight.
Lawrence Hrubes

Is Your Child Lying to You? That's Good - The New York Times - 2 views

  • Kids discover lying as early as age 2, studies have found. In one experiment, children were asked not to peek at a toy hidden behind them while the researcher withdrew from the room under false pretenses. Minutes later, the researcher returned and asked the child if he or she peeked.
Lawrence Hrubes

Can A.I. Be Taught to Explain Itself? - The New York Times - 1 views

  • As machine learning becomes more powerful, the field’s researchers increasingly find themselves unable to account for what their algorithms know — or how they know it.
Lawrence Hrubes

Fighting ISIS With an Algorithm, Physicists Try to Predict Attacks - The New York Times - 0 views

  • And with the Islamic State’s prolific use of social media, terrorism experts and government agencies continually search for clues in posts and Twitter messages that appear to promote the militants’ cause.A physicist may not seem like an obvious person to study such activity. But for months, Neil Johnson, a physicist at the University of Miami, led a team that created a mathematical model to sift order from the chaotic pro-terrorism online universe.
  • The tracking of terrorists on social media should take a cue from nature, Dr. Johnson said, where “the way transitions happen is like a flock of birds, a school of fish.”
  • The researchers also said there might be a spike in the formation of small online groups just before an attack takes place.
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  • Both Mr. Berger and Ms. Patel noted a tricky question raised by the research: When is it best to try to suppress small groups so they do not mushroom into bigger groups, and when should they be left to percolate? Letting them exist for a while might be a way to gather intelligence, Ms. Patel said.
Lawrence Hrubes

BBC News - The unwinnable game - 0 views

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    "A commentator in the current Carlsen-Anand series used the phrase: "A very human move." The point is that humans make mistakes. The subtlest of mistakes, the "sub-optimal" moves, can create beautifully poised situations."
Lawrence Hrubes

Want To Read Others' Thoughts? Try Reading Literary Fiction : Shots - Health News : NPR - 0 views

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    "Your ability to "read" the thoughts and feelings of others could be affected by the kind of fiction you read. That's the conclusion of a study in the journal Science that gave tests of social perception to people who were randomly assigned to read excerpts from literary fiction, popular fiction or nonfiction."
Lawrence Hrubes

Eight (No, Nine!) Problems With Big Data - NYTimes.com - 0 views

  • Is big data really all it’s cracked up to be? There is no doubt that big data is a valuable tool that has already had a critical impact in certain areas. For instance, almost every successful artificial intelligence computer program in the last 20 years, from Google’s search engine to the I.B.M. “Jeopardy!” champion Watson, has involved the substantial crunching of large bodies of data. But precisely because of its newfound popularity and growing use, we need to be levelheaded about what big data can — and can’t — do.The first thing to note is that although big data is very good at detecting correlations, especially subtle correlations that an analysis of smaller data sets might miss, it never tells us which correlations are meaningful.
Lawrence Hrubes

Germanwings 9525, Technology, and the Question of Trust - The New Yorker - 2 views

  • hortly before the dreadful crash of Germanwings Flight 9525, I happened to be reading part of “The Second Machine Age,” a book by two academics at M.I.T., Erik Brynjolfsson and Andrew McAfee, about the coming automation of many professions previously thought of as impervious to technological change, such as those of drivers, doctors, market researchers, and soldiers. With the advances being made in robotics, data analysis, and artificial intelligence, Brynjolfsson and McAfee argue, we are on the cusp of a third industrial revolution.
  • The U.S. military appears to be moving in the direction of eliminating pilots, albeit tentatively. The Pentagon and the C.I.A. have long operated unmanned drones, including the Predator, which are used for reconnaissance and bombing missions. In 2013, the U.S Air Force successfully tested the QF-16 fighter-bomber, which is practically identical to the F-16, except that it doesn’t have a pilot onboard. The plane is flown remotely. Earlier this year, Boeing, the manufacturer of the QF-16, delivered the first of what will be more than a hundred QF-16s to the Air Force. Initially, the planes will be used as flying targets for F-16 pilots to engage during training missions. But at least some military observers expect the QF-16 to end up being used in attack missions.
  • Until now, most executives in the airline industry have assumed that few people would be willing to book themselves and their families on unmanned flights—and they haven’t seriously considered turning commercial aircraft into drones or self-operating vehicles. By placing experienced fliers in the cockpit, the airlines signal to potential customers that their safety is of paramount importance—and not only because the crew members are skilled; their safety is at stake, too. In the language of game theory, this makes the aircraft’s commitment to safety more credible. Without a human flight crew, how could airlines send the same signal?
markfrankel18

Economics jargon promotes a deficit in understanding | Media | The Guardian - 1 views

  • There’s no Rosetta Stone for scientific translation. It’s quite simple really. The first step is getting rid of the technical language.
  • This sounds like a straightforward instruction, but many enormously intelligent people fail to follow it. The trick they fail to master is to train their brains to think in two ways. One, like a scientist; and two, like someone with no scientific training whatsoever.
  • And whenever I see or hear journalists or politicians discussing a particularly important social science – economics – I just don’t see them making the same efforts of jargon removal and technical translation. Whether it’s discussion of debt, or the argument for austerity, it’s hard to find good economics communication, where the language is rinsed free of jargon.
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  • All of this is worrying because it represents a genuine threat to democracy. If we can’t fully comprehend the decisions that are made for us and about us by government then how we can we possibly revolt or react in an effective way? Yes, we have a responsibility to educate ourselves more on the big issues,
markfrankel18

Court Declares Captive Orangutan Is "Non-Human Person" | IFLScience - 0 views

  • An Argentinian court has decided that a Sumatran orangutan (Pongo abelii) named Sandra is a non-human person with rights, and will no longer be held captive in the Buenos Aires zoo where she has lived for the last 20 years. Sandra's case was taken up in November 2013 by the Association of Professional Lawyers for Animal Rights (AFADA). The lawyers argued that Sandra was intelligent and self-aware enough to understand and be negatively affected by her conditions, as well as being aware of the passage of time. The court agreed, and the judges unanimously voted in favor of a writ of habeas corpus for Sandra, deciding that she had been wrongfully imprisoned.
markfrankel18

The Aftershocks - Matter - Medium - 2 views

  • Seven of Italy’s top scientists were convicted of manslaughter following a catastrophic quake. Has the country criminalized science?
  • “I am willing to go to jail for this point,” he thunders. “A scientist can write whatever opinions he wants in a scientific paper and it is off limits to a judge.”Even in the land of Berlusconi and the judicial circus of cases like Amanda Knox’s, convicting a bunch of geoscientists in the wake of a natural disaster marks a new low. What would Galileo say? But what happened in L’Aquila is a window onto how we think about, communicate, and live with risk, and about impediments to clear thinking that afflict us all.
  • Years later, Kent published an article in Studies in Intelligence that used the Yugoslavia report to illustrate the problem of ambiguity, particularly when talking about uncertainty.
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  • Conventional wisdom tells us that people are terrible with numbers. But as Kent realized back in the 1950s, we are even worse with words. In one study that Fischhoff co-authored, people had trouble understanding a 30-percent chance of rain. It wasn’t the probability that tripped them up, but the word: rain. Are we talking drizzle or downpour? All day or just part of the day? And over what area, exactly?
tpakeman

Informing Ourselves To Death - Neil Postman - 0 views

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    "The tie between information and action has been severed. Information is now a commodity that can be bought and sold, or used as a form of entertainment, or worn like a garment to enhance one's status. It comes indiscriminately, directed at no one in particular, disconnected from usefulness"
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    "First, as I have said, we no longer have a coherent conception of ourselves, and our universe, and our relation to one another and our world. We no longer know, as the Middle Ages did, where we come from, and where we are going, or why. That is, we don't know what information is relevant, and what information is irrelevant to our lives. Second, we have directed all of our energies and intelligence to inventing machinery that does nothing but increase the supply of information. As a consequence, our defenses against information glut have broken down; our information immune system is inoperable."
Lawrence Hrubes

How Children Learn To Read - The New Yorker - 0 views

  • Why is it easy for some people to learn to read, and difficult for others? It’s a tough question with a long history. We know that it’s not just about raw intelligence, nor is it wholly about repetition and dogged persistence. We also know that there are some conditions that, effort aside, can hold a child back. Socioeconomic status, for instance, has been reliably linked to reading achievement. And, regardless of background, children with lower general verbal ability and those who have difficulty with phonetic processing seem to struggle. But what underlies those differences? How do we learn to translate abstract symbols into meaningful sounds in the first place, and why are some children better at it than others?
  • When Hoeft took into account all of the explanatory factors that had been linked to reading difficulty in the past—genetic risk, environmental factors, pre-literate language ability, and over-all cognitive capacity—she found that only one thing consistently predicted how well a child would learn to read. That was the growth of white matter in one specific area of the brain, the left temporoparietal region. The amount of white matter that a child arrived with in kindergarten didn’t make a difference. But the change in volume between kindergarten and third grade did.
  • She likens it to the Dr. Seuss story of Horton and the egg. Horton sits on an egg that isn’t his own, and, because of his dedication, the creature that eventually hatches looks half like his mother, and half like the elephant. In this particular case, Hoeft and her colleagues can’t yet separate cause and effect: Were certain children predisposed to develop strong white-matter pathways that then helped them to learn to read, or was superior instruction and a rich environment prompting the building of those pathways?
markfrankel18

​When Superintelligent AI Arrives, Will Religions Try to Convert It? - 1 views

  • As artificial intelligence advances, religious questions and concerns globally are bound to come up, and they're starting too: Some theologians and futurists are already considering whether AI can also know God. "I don't see Christ's redemption limited to human beings," Reverend Dr. Christopher J. Benek told me in a recent interview
  • But there is an opposing school of thought that insists that AI is a machine and therefore doesn't have a soul.
Lawrence Hrubes

Why Marvel's Female Superheroes Look Like Porn Stars - The New Yorker - 3 views

  • Last week, Marvel launched a new Avengers movie, “Age of Ultron,” and this month it’s launching a new comic book, “A-Force.” Ultron is a robot with artificial intelligence who believes that the only way to achieve peace on earth is to exterminate the human race. The A-Force is a race of lady Avengers, led by She-Hulk, who come from a “feminist paradise,” but I don’t know what that could possibly mean, because they all look like porn stars.
Lawrence Hrubes

What Google Learned From Its Quest to Build the Perfect Team - The New York Times - 1 views

  • Five years ago, Google — one of the most public proselytizers of how studying workers can transform productivity — became focused on building the perfect team. In the last decade, the tech giant has spent untold millions of dollars measuring nearly every aspect of its employees’ lives. Google’s People Operations department has scrutinized everything from how frequently particular people eat together (the most productive employees tend to build larger networks by rotating dining companions) to which traits the best managers share (unsurprisingly, good communication and avoiding micromanaging is critical; more shocking, this was news to many Google managers).The company’s top executives long believed that building the best teams meant combining the best people. They embraced other bits of conventional wisdom as well, like ‘‘It’s better to put introverts together,’’ said Abeer Dubey, a manager in Google’s People Analytics division, or ‘‘Teams are more effective when everyone is friends away from work.’’ But, Dubey went on, ‘‘it turned out no one had really studied which of those were true.’’In 2012, the company embarked on an initiative — code-named Project Aristotle — to study hundreds of Google’s teams and figure out why some stumbled while others soared.
  • As they struggled to figure out what made a team successful, Rozovsky and her colleagues kept coming across research by psychologists and sociologists that focused on what are known as ‘‘group norms.’’
  • As the researchers studied the groups, however, they noticed two behaviors that all the good teams generally shared. First, on the good teams, members spoke in roughly the same proportion, a phenomenon the researchers referred to as ‘‘equality in distribution of conversational turn-taking.’’ On some teams, everyone spoke during each task; on others, leadership shifted among teammates from assignment to assignment. But in each case, by the end of the day, everyone had spoken roughly the same amount. ‘‘As long as everyone got a chance to talk, the team did well,’’ Woolley said. ‘‘But if only one person or a small group spoke all the time, the collective intelligence declined.’’Second, the good teams all had high ‘‘average social sensitivity’’ — a fancy way of saying they were skilled at intuiting how others felt based on their tone of voice, their expressions and other nonverbal cues. One of the easiest ways to gauge social sensitivity is to show someone photos of people’s eyes and ask him or her to describe what the people are thinking or feeling — an exam known as the Reading the Mind in the Eyes test. People on the more successful teams in Woolley’s experiment scored above average on the Reading the Mind in the Eyes test. They seemed to know when someone was feeling upset or left out. People on the ineffective teams, in contrast, scored below average. They seemed, as a group, to have less sensitivity toward their colleagues.
Lawrence Hrubes

There's a good reason Americans are horrible at science - Quartz - 0 views

  • There are a number of problems with teaching science as a collection of facts. First, facts change. Before oxygen was discovered, the theoretical existence of phlogiston made sense. For a brief, heady moment in 1989, it looked like cold fusion (paywall) was going to change the world. In the field of medical science, “facts” are even more wobbly. For example, it has been estimated that fewer than 10% of published high profile cancer studies are reproducible (the word “reproducible” here is a euphemism for “not total poppycock”).
  • It’s not possible for everyone—or anyone—to be sufficiently well trained in science to analyze data from multiple fields and come up with sound, independent interpretations. I spent decades in medical research, but I will never understand particle physics, and I’ve forgotten almost everything I ever learned about inorganic chemistry. It is possible, however, to learn enough about the powers and limitations of the scientific method to intelligently determine which claims made by scientists are likely to be true and which deserve skepticism. As a starting point, we could teach our children that the theories and technologies that have been tested the most times, by the largest number of independent observers, over the greatest number of years, are the most likely to be reliable.
Lawrence Hrubes

Watch Out Workers, Algorithms Are Coming to Replace You - Maybe - The New York Times - 1 views

  • In Israel, for instance, we have one of the largest laboratories for A.I. surveillances in the world — it’s called the Occupied Territories. In fact, one of the reasons Israel is such a leader in A.I. surveillance is because of the Israeli-Palestinian conflict.Explain this a bit further.Part of why the occupation is so successful is because of A.I. surveillance technology and big data algorithms.
markfrankel18

Artificial intelligence's "paper-clip maximizer" metaphor can explain humanity's immine... - 1 views

  • The thought experiment is meant to show how an optimization algorithm, even if designed with no malicious intent, could ultimately destroy the world.
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