Both computers and humans can be fooled by patterns that appear significant but really aren’t. But the bigger the computer, the more random patterns it can find in the vast swathes of data processed.
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Some problems experts hope AI can help with may be outside AI's capacities. Some people may simply want to believe doctored images and deepfakes, for example.
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Because Tesla has yet to make a yearly profit in any of its sixteen years of existence, it depends on capital raises of various forms (equity, debt, etc.) to stay in business. Capital raises require big promises and Tesla’s overstatements about its self-driving cars are always good for a few billion.
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Artificial intelligence may do well summarizing data, but the new insights that will lead the economy forward cannot be gleaned that way. What we need is not old data but new truths.
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In reality, without appropriate human supervision, AI is just as likely to find false or unimportant patterns as real ones. Additionally, the overuse of AI in science is actually leading to a reproducibility crisis.
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One factor in the growing sobriety may be that, as AI technology transitions from dreams to reality, the future belongs to leaders who are pragmatic about its abilities and limitations.
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Myths are not inherently bad but the real world crushes them. One myth currently taking a beating is “self-driving cars are just around the corner.” Here’s why not.
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Autonomy CFO Sushovan Hussain was sentenced this year to a five year prison term and a ten million dollar fine because he was held “ultimately responsible for Autonomy's revenues having been overinflated by $193m between 2009 and the first half of fiscal 2011.”
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Auto manufacturers would prefer to just move ahead with 5G but safety watchdogs argue that lifesaving changes could and should be implemented now with DSRC.
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About a year ago, I wrote that mounting AI hype would likely give way to yet another AI winter. Now, according to the panelists at “the world’s leading academic AI conference” the temperature is already falling.
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My main interest in cryptocurrencies like bitcoin is in whether they are sound investments. I’m a value investor—I even wrote a book about that—and the short answer is no.
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Despite the hype and a few bad actors, here at the Walter Bradley Institute, we believe in AI. The deployment of any technology—dams, bridges, buildings—requires care and, at times, oversight. Not to slow down progress but to protect us from ourselves. As the great scientist Richard Feynman put it, the easiest person to fool is oneself.
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Also, McDonald’s doubles down on self-ordering kiosks, acquires automation firm.
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Big companies have been known to just pay patent trolls to go away but individual inventors must be more resourceful.
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It’s enough to make you want to run out and buy a smart car today. But just a minute. There are other statistics out there. Let’s look at some of them.
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Contrary to traditional Fisherian hypothesis testing, it is possible to create models after viewing the data and still quantify the generality of the model.
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The problem is, WeWork is not a technology company. Neither is Airbnb or Uber. They all use software via the internet to leverage surplus physical space, whether the space is in an office building, a private home, or a privately owned car.
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Pardon me but, while I know that a good truck needs to be tough, I never thought it needed to be a Mad Max-styled warrior vehicle. Apparently, Musk does. Why?
Read More ›The steel ball thrown at the unbreakable window broke the glass. Twice. Unfortunately, Musk had to spend the rest of the demo with a damaged car in the background.
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I have nothing against robots. (I am against bad pizza.) I do, however, get very tired of the science fiction-fantasy of humanity-squashing robots. And that’s all it is: A fantasy.
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