A good rule of thumb is that unexpected outcomes increase exponentially as a function of AI complexity.
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Fully autonomous vehicles—aka self-driving cars—are a techno-utopian fantasy that stands little to no chance of realization in the coming decades. The industry is slowly starting to separate that fantasy from achievable reality.
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If eternity is what we truly want, then we should not let ourselves become distracted by technolongevity, and instead, seek our true heart's desire, and find out for ourselves if it is a sham or a reality.
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In a wholly materialist environment, science and other disciplines have, by preference, ceased to explore anything but their own ideas.
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Beyond that, such research raises a philosophical question: If the mind is an illusion, how can it act directly on external things, by the force of decision-making alone?
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In this week’s podcast, Pomona College’s Gary Smith, author of The AI Delusion, talks with Walter Bradley Center director Robert J. Marks about why so many bad research papers are accepted in the science establishment and in media.
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Despite the misguided hype, AI is just another tool. So it is encouraging to read about the ways that Japanese firm Hitachi is using AI as a tool to provide services that would otherwise be difficult or unavailable.
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Over thirty-three millennia of selective breeding shaped “a scant, irregular cluster of fibres” found around wolves’ eyes into eyebrows that communicate—to humans—a look-after-me doggy expression.
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And if that doesn’t—and perhaps can’t—happen, what’s the backup plan? Lawsuits?
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AI tools help us do things better, faster, or more efficiently. But they lack the mind needed to know when “I’m loving’ it” is the winning slogan—and stop there.
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By the very nature of collaborative work, if simple fraud for financial gain is not in question, many much harder questions remain, questions where AI might provide information that enables better judgment. But it’s hardly the stuff of “AI Is Taking Over.”
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Mainstream media did not really understand clearly enough how their world was changing to adapt quickly when mass digital media was young.
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This human-plus-machine combination is proving more potent than the machine-only hype/promise.
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Mainstream studies are funded in order to find out why much of the public doubts a materialist account of our origins. Despite the immense implausibility of that account, in the light of evidence, studies are not funded in order to find out why anyone does believe it. Why is that?
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The problems created by new media monopolies won't be resolved by propping up traditional media, any more than modern traffic congestion would be resolved by the horse-drawn wagon.
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Because computers lack common sense, they cannot interpret statements that assume a background of general knowledge, as the Winograd Schema challenges show.
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It’s not often that a theologian admits to personal issues like anxiety and depression. But Biola University’s Moreland has written a book about how he coped by learning more about the nature of our immaterial minds.
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Some of the stuff that made a difference, they couldn’t put in a computer. Some people say, if you can’t measure it, it doesn’t count but sometimes the things that count can’t be measured.
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If you ask about anything that’s a puzzle, joke, riddle, or sarcasm that you can’t look up in Wikipedia, computers are helpless.
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