The October 23-25 conference is aimed at CEOs, CTOs, and CIOs, investors, researchers, technologists, and anyone for whom the $950 Early Adopter Rate (before July 23) would be a good investment in their future.
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The computer sim universe seems to be a way of dealing with the massive evidence of the fine-tuning of our universe without invoking traditional philosophy or religion.
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As Ted Gioia makes clear in his discussion of jazz, swirling a bit of randomness into the mix will not help.
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The study found that our dislike of almost-human bots is a “hardwired” natural reaction to something that doesn’t seem quite right.
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“Experts” should not be confident that they understand the value propositions of gig jobs better than the individuals doing the gigs.
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A consensus is emerging that the system will always need a human in the loop.
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How can internet-based media consume more user time? First, they will move away from a screen interface to a voice- and face-recognition interface. But the next logical step is probably deeply immersive virtual reality seeping into everyday life.
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The limits of science can be as instructive as the discoveries. If science someday proved that computer systems could never reproduce some aspect of mind, we'd have learned something important about the nature of mind.
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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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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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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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This human-plus-machine combination is proving more potent than the machine-only hype/promise.
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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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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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If Shakespeare is right about imagination, Sophia will certainly break some hearts.
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Kurt Gödel (1906–1978) proved that there are truths in mathematical logic that lie outside mathematical logic, which means that the mind cannot be understood simply as a computer.
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