Parallel to the IPCC process, scientific advances mean that models can now link individual weather events to climate change as the cause, said Friederike Otto, acting director of the Environmental Change institute at the University of Oxford in the UK. This is done through attribution science—much in the same way that smoking was linked to cancer decades ago—which is “very much in legal discussions at the moment”, said Otto.
Attribution science has been a game changer in the past five years, added Yamin: in the case of an event such as flooding or a heat wave, for example, “you don’t talk about a vague sense of weather any more — you can link it to anthropogenic activities that are causing long-term global change”.
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Evolutionary games on isothermal graphs - 0 views
The Universe's Ultimate Complexity Revealed by Simple Quantum Games | Quanta Magazine - 0 views
Our Social Nature Makes Nearly Everything Contagious. - 0 views
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Human networks are not random. We connect to others who're like us in some way; social scientists call this homophily. A point of similarity might be something as fundamental to our identity as gender, religion, ethnicity, age, values, or beliefs. Or it could be, and often is, socioeconomic status. Or geographic-say, a neighborhood, city, or region where you grew up. Or an enthusiasm-football, a popular video game, or a breed of dog. When we meet someone at a party, we quickly try to find out if our networks connect in some way. Where are you from? What do you do? How do you know the host? Homophily is a human universal and an essential piece of our mental equipment for sustaining cooperation.
Playing Go with Darwin - Issue 94: Evolving - Nautilus - 0 views
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Charles Darwin was very likely the first person to have understood nature in terms of a game played across deep time. I have wondered how much further the Chess-playing naturalist might have taken this metaphor if, like Kawabata, he had studied Go. Unlike Chess, where the objective is to expose and capture the King by eliminating pieces, in Go the objective is to capture territory by surrounding enemy pieces, called stones, and by protecting unclaimed area.
thermodynamics of evolutionary games - 0 views
Flipboard on Flipboard - 0 views
How teaching AI to be curious helps machines learn for themselves - The Verge - 0 views
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The problem with Montezuma’s Revenge is that it doesn’t provide regular rewards for the AI agent. It’s a puzzle-platformer where players have to explore an underground pyramid, dodging traps and enemies while collecting keys that unlock doors and special items. If you were training an AI agent to beat the game, you could reward it for staying alive and collecting keys, but how do you teach it to save certain keys for certain items, and use those items to overcome traps and complete the level? The answer: curiosity.
The Federal Job Guarantee Is Not Just "Better" Than a Universal Basic Income. It's the ... - 0 views
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UBI adds money to the economy without increasing production or output. This is how you cause inflation: The creation of money without consideration of the real resources available to you.
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FJG adds money to the economy by increasing productivity and output. This is how you avoid, or greatly reduce the severity of, inflation. It forces private industry and the military to up their game, in order to be competitive with the FJG: better than bare-minimum living wage, benefits, and working conditions.
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If the FJG creates “busywork” pointless jobs, it is not a problem of the FJG itself, but rather a reflection of poor implementation of the FJG at the local level. There are basically an infinite number of genuinely useful things to be done at the local level, throughout the country.
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How Facebook Is Throwing Our Brains Into Overdrive - Pacific Standard - 0 views
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The human brain has always loved the dopamine rush of notifications, in any form; recent research indicates the unpredictable but ubiquitous updates of Gmail or Twitter carry the same neurological effect as rocking a slot machine. While Internet use is "not addictive in the same way as pharmacological substances are," as cognitive scientist Tom Stafford noted in 2013, we continually chase those unpredictable payoffs on Facebook and Instagram in ways that tend to mirror gambling or sex addictions, even if "Internet addiction" writ large currently holds an ambiguous position in the Diagnostic and Statistical Manual of Mental Disorders.
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For products whose fundamental business proposition is harnessing attention, building those so-called "compulsion loops" isn't an accident of technology—it's the whole point. Indeed, observers have argued since Parker's "human psychology" flub last year that Facebook has not just meticulously measured, but fundamentally altered human behavior, and nascent technology ventures emboldened by Facebook's world-changing success have sought to translate the behavioral tricks that psychologist B.F. Skinner applied to the gambling kiosk to every mobile app under the sun. "When a gambler feels favored by luck, dopamine is released," Natasha Schüll, author of Addiction by Design: Machine Gambling in Las Vegas, told the Guardian in March. All Facebook managed to do was find a way to miniaturize the captivating logic of the slot machine—with no cost to the user but their time and attention.
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While the human brain is tremendously plastic, that doesn't mean Facebook is savagely rewiring the human brain. Indeed, the Facebook users in the Cal State–Fullerton study "showed greater activation of their amygdala and striatum, brain regions that are involved in impulsive behavior," as Live Science's Tia Ghose reported at the time. Ghose continued: "But unlike in the brains of cocaine addicts, for instance, the Facebook users showed no quieting of the brain systems responsible for inhibition in the prefrontal cortex." Facebook isn't fundamentally rewiring the structure of the human brain, but its ubiquity has the same relative effect by kicking our rewards centers into overdrive.
Biology Will Be the Next Great Computing Platform - 0 views
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Crispr, the powerful gene-editing tool, is revolutionizing the speed and scope with which scientists can modify the DNA of organisms, including human cells. So many people want to use it—from academic researchers to agtech companies to biopharma firms—that new companies are popping up to staunch the demand. Companies like Synthego, which is using a combination of software engineering and hardware automation to become the Amazon of genome engineering. And Inscripta, which wants to be the Apple. And Twist Bioscience, which could be the Intel
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They’re betting biology will be the next great computing platform, DNA will be the code that runs it, and Crispr will be the programming language.
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“Being able to do that in a parallel way is the novel part,” says Paul Dabrowski, who estimates that Synthego cuts down the time it takes for a scientists to perform gene edits from several months to just one.
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Taleb Slams Journalists: My New Book Is "Designed To Be Hated By Bullshitters" - 0 views
Big data + private health insurance = game over / Boing Boing - 0 views
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"The existence of more personal health data and better algorithms for sorting it suggest that private medical insurance is just incompatible with 21st century technology."
Are You Creditworthy? The Algorithm Will Decide. - 0 views
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The decisions made by algorithmic credit scoring applications are not only said to be more accurate in predicting risk than traditional scoring methods; its champions argue they are also fairer because the algorithm is unswayed by the racial, gender, and socioeconomic biases that have skewed access to credit in the past.
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Algorithmic credit scores might seem futuristic, but these practices do have roots in credit scoring practices of yore. Early credit agencies, for example, hired human reporters to dig into their customers’ credit histories. The reports were largely compiled from local gossip and colored by the speculations of the predominantly white, male middle class reporters. Remarks about race and class, asides about housekeeping, and speculations about sexual orientation all abounded.
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By 1935, whole neighborhoods in the U.S. were classified according to their credit characteristics. A map from that year of Greater Atlanta comes color-coded in shades of blue (desirable), yellow (definitely declining) and red (hazardous). The legend recalls a time when an individual’s chances of receiving a mortgage were shaped by their geographic status.
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