
Will we surrender our free will to screens?
We may be surrendering while we aren’t paying attentionIf “the machines” ever do take over, it will be because we have stopped thinking, not because they have started to.
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If “the machines” ever do take over, it will be because we have stopped thinking, not because they have started to.
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Jay Richards thinks that crony capitalism is a long-term problem but that, in this case, New York legislators showed “staggering economic illiteracy and a disregard for their constituents”
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Well-roundedness is appropriate in applied STEM curricula to the extent that it rounds out the skills necessary for success as a STEM professional.
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Today, better AI is the goal of the arms race. Russian President Vladimir Putin has prophesied: “Whoever becomes the leader in this sphere [AI] will become the ruler of the world.” Putin’s remarks apply to both economic and military dominance.
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The chaos and violence rising in our own country and around the world get much of their fuel from the obscurity and contagion of the internet, which is kerosene sprayed on the sparks tossed up by civilization. If we are to survive this conflagration, we must understand how these fires grow.
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Many Singulatarians hold that their soon-to-be-realized technology will be indistinguishable by the rest of us from magic. Are they serious? Well, in 2005, Kurzweil said that the magical Harry Potter stories “are not unreasonable visions of our world as it will exist only a few decades from now.” when, due to AI, “the entire universe will become saturated with our intelligence.” Keas warns that this type of thing encourages people “to expect the experiential equivalent of occult phenomena.”
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If I am made to confess that college courses in Shakespearean sonnets will make me a better person, then English literature majors had better confess that calculus makes them better people.
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Because Machine Learning is opaque—even experts cannot clearly explain how a system arrived at a conclusion—we treat it as magic. Therefore, we should mistrust the systems until proven innocent (and correct).
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People often think that the Luddites were merely anti-technology because they opposed automation during the Industrial Revolution (1760–1840). The story is more complex. As we face increasing automation today, we might want to see what we can learn from their history.
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Censorship is part of the larger question of whether social media are the telephone company (a communications platform), the newspaper (a publisher), or unregulated private klatsches. Or something else altogether?
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A team from the Shanghai Institute of Technology sought to study whether accuracy made any difference to whether a post goes viral on social media. They cited a concern about “the digital misinformation that threatens our democracy.”
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I have a problem with the possible outcomes when people who don’t know the difference between technology fact and fiction make important decisions based on information from journalists who write as if every computer is a potential personality like HAL from Space Odyssey 2001.
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It’s tempting to assume that a villain lurks behind such a scene when the exact opposite is the problem: A system dominated by machines is all calculations, not thoughts, intentions, or choices. If the input is wrong, so is the output.
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What gives humans the ability to increase in prosperity, according to Eric Holloway, is our ability to “read” from Plato’s Library of new ideas, thus providing an ever-growing supply of side information that powers the economy.
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This summer, some were simply agog over “Sophia, the First Robot Citizen” (“unsettling as it is awe-inspiring”)
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Putting these kinds of decisions in the hands of software programs is not likely to promote vigorous and healthy debate.
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The thrill of fear invites the reader to accept a metaphorical claim as a literal fact.
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Google is one of the most widely misunderstood success stories of our time. Many of us equate Google with “Big Data,” that is, amassing huge quantities of data and then finding useful statistical patterns. But is that how it succeeded? In Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy, George Gilder criticizes Google primarily on two fronts: First, it is a “walled garden,” a great platform, but inherently isolated and closed. That is a point worth exploring, but not the focus here. The second point, the one I want to touch on, is that Big Data’s day has come and gone. Because Google is a Big Data company, its brightest days are behind it. Read More ›

Enormous data sets compiled by Big Data methods have a higher probability of meaningless correlations than smaller ones compiled by traditional methods. More than ever, common sense is needed. And common sense only comes from programmers writing their own common sense into the software.
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We need to decide: Is Twitter the telephone company (a communications platform), the newspaper (a publisher), or interconnected private gossip klatsches where anyone can say whatever they want, whatever ensues?
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