Friday, October 20, 2023

Your Personal Information Is Probably Being Used to Train Generative AI Models | What Happened to Empathy? | The Path to AI Arms Control | Google Chrome Users Warned: Don’t Click To Update Browser On Websites

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What Happened to Empathy? - The Atlantic   

San Francisco, I realized during a visit to the city this spring, has a people problem. Not a homeless-people problem, or a tech-people problem, but a lack-of-people problem. As I walked from my hotel in SoMa to the Embarcadero on a sunny afternoon, the emptiness of the streets felt nearly apocalyptic. Passing other humans—a fundamental circumstance of urban life elsewhere—here was so rare, it felt oddly menacing. I did pass some people who looked unwell, or dirty from living on the streets, but that’s not why I felt the way I did. The volume and density of humanity are what make cities feel safe. The pleasure and pain of a city is that we are never alone, even when we desperately want to be. That wasn’t the case in San Francisco.

So I was bewildered when I read recently of the city’s experiment with driverless taxicabs. During that visit, I stepped over two people who appeared to be high on fentanyl, stepped past too many boarded-up storefronts to count, and literally stepped into human excrement. Engaging with my living, breathing (and sometimes chatty) taxi and Uber drivers was absolutely the least of my troubles in San Francisco.

Why did a city of such terrible solitude need driverless taxis? For whom were taxi drivers such a horrific nuisance that it was worth eradicating an entire profession of working-class people that has existed since the earliest days of the automobile? When did we decide that engagement with our fellow man was a bug and not a feature of our short and limited lives?

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The Path to AI Arms Control - Foreign Affairs   

This year marks the 78th anniversary of the end of the deadliest war in history and the beginning of the longest period in modern times without great-power war. Because World War I had been followed just two decades later by World War II, the specter of World War III, fought with weapons that had become so destructive they could theoretically threaten all of humankind, hung over the decades of the Cold War that followed. When the United States’ atomic destruction of Hiroshima and Nagasaki compelled Japan’s immediate unconditional surrender, no one thought it conceivable that the world would see a de facto moratorium on the use of nuclear weapons for the next seven decades. It seemed even more improbable that almost eight decades later, there would be just nine nuclear weapons states. The leadership demonstrated by the United States over these decades in avoiding nuclear war, slowing nuclear proliferation, and shaping an international order that provided decades of great-power peace will go down in history as one of America’s most significant achievements.

Today, as the world confronts the unique challenges posed by another unprecedented and in some ways even more terrifying technology—artificial intelligence—it is not surprising that many have been looking to history for instruction. Will machines with superhuman capabilities threaten humanity’s status as master of the universe? Will AI undermine nations’ monopoly on the means of mass violence? Will AI enable individuals or small groups to produce viruses capable of killing on a scale that was previously the preserve of great powers? Could AI erode the nuclear deterrents that have been a pillar of today’s world order?

At this point, no one can answer these questions with confidence. But as we have explored these issues for the last two years with a group of technology leaders at the forefront of the AI revolution, we have concluded that the prospects that the unconstrained advance of AI will create catastrophic consequences for the United States and the world are so compelling that leaders in governments must act now. Even though neither they nor anyone else can know what the future holds, enough is understood to begin making hard choices and taking actions today—recognizing that these will be subject to repeated revision as more is discovered.

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