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Bill Fulkerson

Why a 400-Year Program of Modernist Thinking is Exploding | naked capitalism - 0 views

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    " Fearless commentary on finance, economics, politics and power Follow yvessmith on Twitter Feedburner RSS Feed RSS Feed for Comments Subscribe via Email SUBSCRIBE Recent Items Links 3/11/17 - 03/11/2017 - Yves Smith Deutsche Bank Tries to Stay Alive - 03/11/2017 - Yves Smith John Helmer: Australian Government Trips Up Ukrainian Court Claim of MH17 as Terrorism - 03/11/2017 - Yves Smith 2:00PM Water Cooler 3/10/2017 - 03/10/2017 - Lambert Strether Why a 400-Year Program of Modernist Thinking is Exploding - 03/10/2017 - Yves Smith Links 3/10/17 - 03/10/2017 - Yves Smith Why It Will Take a Lot More Than a Smartphone to Get the Sharing Economy Started - 03/10/2017 - Yves Smith CalPERS' General Counsel Railroads Board on Fiduciary Counsel Selection - 03/10/2017 - Yves Smith Another Somalian Famine - 03/10/2017 - Yves Smith Trade now with TradeStation - Highest rated for frequent traders Why a 400-Year Program of Modernist Thinking is Exploding Posted on March 10, 2017 by Yves Smith By Lynn Parramore, Senior Research Analyst at the Institute for New Economic Thinking. Originally published at the Institute for New Economic Thinking website Across the globe, a collective freak-out spanning the whole political system is picking up steam with every new "surprise" election, rush of tormented souls across borders, and tweet from the star of America's great unreality show, Donald Trump. But what exactly is the force that seems to be pushing us towards Armageddon? Is it capitalism gone wild? Globalization? Political corruption? Techno-nightmares? Rajani Kanth, a political economist, social thinker, and poet, goes beyond any of these explanations for the answer. In his view, what's throwing most of us off kilter - whether we think of ourselves as on the left or right, capitalist or socialist -was birthed 400 years ago during the period of the Enlightenment. It's a set of assumptions, a particular way of looking at the world that pushed out previous modes o
Bill Fulkerson

Scientists May Be Using the Wrong Cells to Study Covid-19 | WIRED - 0 views

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    BY NOW THERE'S little doubt about hydroxychloroquine: It doesn't work for treating Covid-19. But there's a bigger, more important lesson hidden in the story of its failure-a rarely-mentioned, but altogether crucial, error baked into the early research. The scientists who ran the first, promising laboratory experiments on the drug had used the wrong kind of cells: Instead of testing its effects on human lung cells, they relied on a supply of mass-produced, standardized cells made from a monkey's kidney. In the end, that poor decision made their findings more or less irrelevant to human health. Worse, it's possible that further research into novel Covid-19 cures will end up being compromised by the same mistake.
Steve Bosserman

Opinion | It's Westworld. What's Wrong With Cruelty to Robots? - 1 views

  • The biggest concern is that we might one day create conscious machines: sentient beings with beliefs, desires and, most morally pressing, the capacity to suffer. Nothing seems to be stopping us from doing this. Philosophers and scientists remain uncertain about how consciousness emerges from the material world, but few doubt that it does. This suggests that the creation of conscious machines is possible.
  • If we did create conscious beings, conventional morality tells us that it would be wrong to harm them — precisely to the degree that they are conscious, and can suffer or be deprived of happiness. Just as it would be wrong to breed animals for the sake of torturing them, or to have children only to enslave them, it would be wrong to mistreat the conscious machines of the future.
  • Anything that looks and acts like the hosts on “Westworld” will appear conscious to us, whether or not we understand how consciousness emerges in physical systems. Indeed, experiments with AI and robotics have already shown how quick we are to attribute feelings to machines that look and behave like independent agents.
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  • This is where actually watching “Westworld” matters. The pleasure of entertainment aside, the makers of the series have produced a powerful work of philosophy. It’s one thing to sit in a seminar and argue about what it would mean, morally, if robots were conscious. It’s quite another to witness the torments of such creatures, as portrayed by actors such as Evan Rachel Wood and Thandie Newton. You may still raise the question intellectually, but in your heart and your gut, you already know the answer.
  • But the prospect of building a place like “Westworld” is much more troubling, because the experience of harming a host isn’t merely similar to that of harming a person; it’s identical. We have no idea what repeatedly indulging such fantasies would do to us, ethically or psychologically — but there seems little reason to think that it would be good.
  • For the first time in our history, then, we run the risk of building machines that only monsters would use as they please.
Bill Fulkerson

Lancet-gate in the COVID-19 pandemic era: is it alright for science to be wrong? - 0 views

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    Thinking and interacting, intellectually, are essential in solving mankind's problems, such as the pandemic now engulfing our existence. In doing so, however, we need to remain vigilant to the possibility of making mistakes that could lead us to wrong conclusions. Recall
Steve Bosserman

Believing without evidence is always morally wrong - Francisco Mejia Uribe | Aeon Ideas - 0 views

  • Today, we truly have a global reservoir of belief into which all of our commitments are being painstakingly added: it’s called Big Data. You don’t even need to be an active netizen posting on Twitter or ranting on Facebook: more and more of what we do in the real world is being recorded and digitised, and from there algorithms can easily infer what we believe before we even express a view. In turn, this enormous pool of stored belief is used by algorithms to make decisions for and about us. And it’s the same reservoir that search engines tap into when we seek answers to our questions and acquire new beliefs. Add the wrong ingredients into the Big Data recipe, and what you’ll get is a potentially toxic output. If there was ever a time when critical thinking was a moral imperative, and credulity a calamitous sin, it is now.
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