A programming language creates a middle space between the way humans think and the way computers think. What's the best compromise point?
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Stephen Hawking was a genius in theoretical physics but he did not know much about computers and his fears of an AI takeover were unfounded.
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Contrary to Steven Novella's claims, cosmological singularities refute materialism. Kurt Gödel can explain
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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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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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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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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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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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AI sifts enormous amounts of accumulated data. But successful military strategy often depends on creating a new approach to a problem, one that lies outside the historical data available to the opposing forces. Muhammad Ali and Hannibal were famous for using such strategies.
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A recent article at New Scientist treats panpsychism as a serious idea in science. That’s thanks to the growing popularity of neuroscientist Giulio Tonioni’s Integrated Information Theory (IIT), which offers the opportunity for mathematical modeling, along with the implication that inanimate matter and/or the universe may be conscious. If IIT continues to gain a sympathetic hearing, panpsychism could become, over time, a part of normal science.
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According to researchers, Ian Burkhart, whose hands and legs were paralyzed in a diving accident in 2010, has regained the sense of touch,, through a brain implant, as opposed to simply the ability to move a hand: The breakthrough came from analysis of years of data collected from NeuroLifeTM program study participant Ian Burkhart, who suffered a spinal cord injury in 2010 when diving into the ocean, and now lives with paralysis in his hands and legs. “When the chip was placed on the surface of Ian’s motor cortex in 2014, it was not known that the signals related to object touch could be observed because of the paralysis,” said lead author and Battelle Principal Research Scientist Patrick Ganzer. “Furthermore, Read More ›
If Alphabet’s Deep Mind or Microsoft had successfully data mined the 29,000 papers and found useful coronavirus information, that would be pretty impressive. But they appear to be giving others a chance to try instead, raising issues once again about the value of data mining in medicine.
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Recently, a Harvard prof chose to launch an attack on homeschoolers, portraying them as driven by narrow religious concerns. Given how many parents COVID-19 has forced to homeschool, the attack was, at best, poorly timed. But it usefully focused attention on the ways education needs to change in an online world.
The COVID-19 virus contains about as much information as a sticker in WhatsApp. Walter Bradley Center director Robert J. Marks and Dr. Daniel Andrés Díaz-Pachón explore a dreadful truth: “Human biology is so finely tuned that less than a kilobyte of information can stop the world.”