Dawkins thinks we didn’t evolve so as to understand consciousness. But that our odd situation points nowhere. Isn’t all this past its sell-by date?
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The United States has formally accused China of both funding and operating cells of hackers who infiltrate research labs working on responses to COVID-19.
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Thanks to economists, during the economic crisis that began in 2007, the President, Congress, and Federal Reserve did not repeat the errors of the 1930s.
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Turing thought that computers could be got to think. Thus he had to address Lovelace’s objection from a century earlier, that they could not be creative.
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Many high tech companies, including Microsoft, are headquartered near the coast in the state of Washington. The executives must have been terrified when they read the headline: “Tuna Biting Off Washington Coast” But wait. Tuna are not chomping on Seattle beaches. The headline, meant to convey good news for fishermen, can be read that way of course. We use common sense to identify the intended meaning and the incorrect interpretation makes us smile. But AI has trouble doing this because it lacks common sense. To solve the problem of AI’s lack of common sense, Microsoft’s co-founder Paul Allen (1953–2018) poured big bucks into Seattle’s Allen Institute for Artificial Intelligence. “To make real progress in A.I., we have to overcome the Read More ›
There are the Spanish police drones flying around, enforcing lockdown orders. And Singapore’s robotic police dogs, enforcing social distance. Will they go away?
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If Season 2 follows Season 1's pattern, we can definitely expect more politically and socially driven narratives— but will the stories sparkle?
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Neuroscientists used to think that each neuron was as complex as a switch. But newer research shows that each neuron is more similar to a microprocessor. Musk’s 3,000 Neuralink electrodes controlled by a single processor does not remotely match your brain’s 80 billion processors, all linked together.
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Today’s collection of scholarly literature is exploding in quantity and deteriorating in quality. One solution is to return to review practices at the time of Einstein. The reviewers were much better qualified and were not anonymous.
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At the Skeptical Inquirer, we read about the“Nobel Disease,” whereby Nobel Prize-winning scientists ditch critical thinking and embrace unorthodox views. In reality, unorthodoxy helped them win the Prize.
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Random data shows geographic clusters. Thus some locations will inevitably have higher COVID-19 rates than others. As my example shows, associating these clusters with personal characteristics after the fact is not convincing scientific evidence. That’s where randomized, controlled trials are needed.
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Carroll’s argument that man is wholly governed by physics is self-refuting. Because physics and logic share no commonality, materialists like Carroll implicitly assert that their own arguments lack logic. One might say that the only thing materialists get right is that their ideas are nonsense. If man is all physics, he can have no logic.
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While many are concerned about all the jobs that AI will eliminate, no one is talking about the fact that AI needs humans. Information is the fuel that powers AI, and only humans can create this information. So, the real revolution that AI will bring is not data exploitation, but the empowering of people all around the world to power our economy through creation of information. What’s bad news for authoritarian groups like the Chinese Communist party is good news for everyone else.
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Findings patterns in data is easy. Finding meaningful patterns that have a logical basis and can be used to make accurate predictions is elusive. We can see this from 18th-century attempts to cure scurvy through 21st century claims about the stock market or history.
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In an unsanitized, politically incorrect (but factual) history, Selmer Bringsjord talks about how the tormented genius Kurt Gödel took up a quest that dated back a thousand years to prove the existence of God by formal logic. His original version didn’t quite work but his editor’s version passed an important logic test.
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Like Excel, AI assists programmers in their design work. AI can search through trillions of possibilities, using data from a million sources, to find a successful design. But the structure of the search and the source of the data is the choice of the programmer. A look at how famous inventors developed products that changed the world sheds some light on the process.
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The basic problem is that accepting on faith what we can’t ever hope to understand is not a traditional stance of science. Thus it’s a good question whether science could survive such a transition and still be recognizable to scientists. But does turning things over to incomprehensible algorithms, as Krakauer proposes, really work anyway? Current results from a variety of areas give pause for thought.
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Physicalist David Papineau argues that consciousness “seems mysterious not because of any hidden essence, but only because we think about it in a special way.” In short, it's all in our heads. But wait, say others, the hard problem of consciousness is not so easily dismissed.
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Jonathan Bartlett agrees with Valley pioneers Davidow and Malone, authors of The Autonomous Revolution (2020) that there are real problems with the misuse of AI. But, he says, that’s because we treat it as powerful. It is a servant but we make it a master.
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According to analysts, robotic devices are becoming more popular for a reason few would have guessed earlier; they reduce the need for physical human contact. Recycling, however, has taken a hit and weaning consumers from disposables post-COVID may prove a challenge. Huge firms are riding the storm, however, and Gen Z is spending the lockdown improving its career chances. Meanwhile, consumers surveyed around the globe say they plan to travel less.
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