As the technology advances, we might soon cross some threshold beyond which using AI requires a leap of faith. Sure, we humans can’t always truly explain our thought processes either—but we find ways to intuitively trust and gauge people. Will that also be possible with machines that think and make decisions differently from the way a human would? We’ve never before built machines that operate in ways their creators don’t understand. How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable?
The internet and social media don’t create new personalities; they allow people to express sides of themselves that social norms discourage in the “real world”.
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We may come to see face-to-face conversation as the social medium that most distorts our personalities. It requires us to speak even when we don’t know what to say and forces us to be pleasant or acquiescent when we would rather not.
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Social media have turned a species used to intimacy into performers. But these performances are not necessarily false. Personality is who we are in front of other people. The internet, which exposes our elastic personalities to larger and more diverse groups of people, reveals the upper and lower bounds of our capacity for empathy and cruelty, anxiety and confidence.
Nostalgia, to me, is not the emotion that follows a longing for something you lost, or for something you never had to begin with, or that never really existed at all. It’s not even, not really, the feeling that arises when you realize that you missed out on a chance to see something, to know someone, to be a part of some adventure or enterprise or milieu that will never come again. Nostalgia, most truly and most meaningfully, is the emotional experience—always momentary, always fragile—of having what you lost or never had, of seeing what you missed seeing, of meeting the people you missed knowing, of sipping coffee in the storied cafés that are now hot-yoga studios. It’s the feeling that overcomes you when some minor vanished beauty of the world is momentarily restored, whether summoned by art or by the accidental enchantment of a painted advertisement for Sen-Sen, say, or Bromo-Seltzer, hidden for decades, then suddenly revealed on a brick wall when a neighboring building is torn down. In that moment, you are connected; you have placed a phone call directly into the past and heard an answering voice.
The result is that modern machine learning offers a choice among oracles: Would we like to know what will happen with high accuracy, or why something will happen, at the expense of accuracy? The “why” helps us strategize, adapt, and know when our model is about to break. The “what” helps us act appropriately in the immediate future.
It can be a difficult choice to make. But some researchers hope to eliminate the need to choose—to allow us to have our many-layered cake, and understand it, too. Surprisingly, some of the most promising avenues of research treat neural networks as experimental objects—after the fashion of the biological science that inspired them to begin with—rather than analytical, purely mathematical objects.
The Presidential order that Donald Trump signed on Friday barring all refugees and citizens from seven Muslim countries from travel to the United States was reviewed by virtually no one. The State Department did not help craft it, nor the Defense Department, nor Justice. Trump’s Secretary of Homeland Security, John Kelly, “saw the final details shortly before the order was finalized,” CNN reported. Early Saturday morning, there were reports that two Iraqi refugees had been detained upon their arrival at John F. Kennedy Airport. When a lawyer for the men asked an official to whom he needed to speak to fix the situation, the official said, “Ask Mr. Trump.” This sounded like a sign of straight goonery and incipient authoritarianism; maybe it was. But it also may have been the only reasonable answer. Few people understood what was going on.
In its first 10 years, the iPhone will have sold at least 1.2 billion units, making it the most successful product of all time. The iPhone also enabled the iOS empire which includes the iPod touch, the iPad, the Apple Watch and Apple TV whose combined total unit sales will reach 1.75 billion units over 10 years. This total is likely to top 2 billion units by the end of 2018.
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The revenues from iOS product sales will reach $980 billion by middle of this year. In addition to hardware Apple also books iOS services revenues (including content) which have totaled more than $100 billion to date.
This means that iOS will have generated over $1 trillion in revenues for Apple sometime this year.