I found Focused by accident, while I was suffering from the very condition it wants to help people avoid. In bed and hunched over my laptop, I was scrolling through Twitter when I noticed someone I follow congratulating a woman on the launch of her new startup. Lacking any of the necessary willpower to go back to my work, I spiraled further into a procrastination hole and clicked on the link.

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In March 2018, an eerie portrait created by an artificial intelligence program sold at Christie's Auction House for almost half a million dollars. A few months later, a movie written and directed by an AI algorithm was released amid much hype. And this March, a record company signed an AI artist for the first time. Artificial creativity is the subject of the second episode of the Sleepwalkers podcast, an ongoing series exploring the implications of AI.

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After months of stalled bipartisan negotiations over how the federal government should protect consumers’ private data, Senate Democrats decided to go it alone this month. On Tuesday, Senator Maria Cantwell (D-Washington) introduced the Consumer Online Privacy Rights Act, or COPRA, which would set up a sort of privacy bill of rights for Americans while providing some stronger mechanisms of enforcement.

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Earlier this week, PayPal agreed to purchase Honey, a Los Angeles-based coupon finder, for an eye-popping $4 billion. If it goes through, it will be the largest tech deal in the city’s history, and PayPal’s biggest acquisition ever. Why would any company shell out that much for a shopping tool? PayPal revolutionized online shopping with its payments system two decades ago, but lately more tech companies have been encroaching on its turf.

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The protesters who gathered outside Google's San Francisco office on Friday had a single, simple demand: give two employees their jobs back, immediately. But the group of 200 Googlers made clear more was at stake. It was, as one software engineer put it, "a struggle for the future of tech." The two employees at the center of the squall, Rebecca Rivers and Laurence Berland, had been placed on administrative leave a few weeks ago. Neither have been given a formal explanation from Google.

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A few years ago this month, Portland, Oregon artist Darius Kazemi watched a flood of tweets from would-be novelists. November is National Novel Writing Month, a time when people hunker down to churn out 50,000 words in a span of weeks. To Kazemi, a computational artist whose preferred medium is the Twitter bot, the idea sounded mildly tortuous. “I was thinking I would never do that,” he says. “But if a computer could do it for me, I’d give it a shot.

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Artificial intelligence has given us algorithms capable of recognizing faces, diagnosing disease, and of course, crushing computer games. But even the smartest algorithms can sometimes behave in unexpected and unwanted ways, for example picking up gender bias from the text or images they are fed. A new framework for building AI programs suggests a way to prevent aberrant behavior in machine learning by specifying guardrails in the code from the outset.

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When the global economy shifted in the late 19th century, working people were the first to adapt. They moved to cities like Cleveland, Cincinnati, and Toledo and worked long hours in unsafe factories. They drove the Industrial Revolution and changed the nature of work forever. When it became clear that employers were exploiting their productivity, the labor movement formed to protest abuses like sweatshops, child labor, and poverty wages.

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Last year, Jibo—“the world's first social robot for the home”—began to lose its mind. First came memory problems. The bot started to spend less time swiveling its head like the animated Pixar lamp and more time staring blankly at the wall. Its cognitive demise was slow, then fast. At one point, Jibo itself delivered the fatal diagnosis: “The servers out there that let me do what I do will be turned off soon,” it said in its computerized voice.

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