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Bill Fulkerson

It's not all Pepes and trollfaces - memes can be a force for good - The Verge - 0 views

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    "How the 'emotional contagion' of memes makes them the internet's moral conscience By Allie Volpe Aug 27, 2018, 11:30am EDT Illustration by Alex Castro & Keegan Larwin SHARE Newly single, Jason Donahoe was perusing Tinder for the first time since it started integrating users' Instagram feeds. Suddenly, he had an idea: follow the Instagram accounts of some of the women he'd been interested in but didn't match with on the dating service. A few days later, he considered taking it a step further and direct messaging one of the women on Instagram. After all, the new interface of the dating app seemed to encourage users to explore other areas of potential matches' online lives, so why not take the initiative to reach out? Before he had a chance, however, he came across the profile of another woman whose Tinder photo spread featured a meme with Parks and Recreation character Jean-Ralphio Saperstein (Ben Schwartz) leaning into the face of Ben Wyatt (Adam Scott) with the caption: hey I saw you on Tinder but we didn't match so I found your Instagram you're so beautiful you don't need to wear all that makeup ahah I bet you get a lot of creepy dm's but I'm not like all those other guys message me back beautiful btw what's your snap "I was like, 'Oh shit, wow,'" Donahoe says. Seeing his potential jerk move laid out so plainly as a neatly generalized joke, he saw it in a new light. "I knew a) to be aware of that, and b) to cut that shit out … It prompted self-reflection on my part." THE MOST SUCCESSFUL MEMES STRIKE A CULTURAL CHORD AND CAN GUIDE AND EVEN INFLUENCE BEHAVIOR Donahoe says memes have resonated with him particularly when they depict a "worse, extreme version" of himself. For Donahoe, the most successful memes are more than just jokes. They "strike a societal, cultural chord" and can be a potent cocktail for self-reflection as tools that can guide and even influence behavior. In the months leading up to the 2016 US
Bill Fulkerson

Anatomy of an AI System - 1 views

shared by Bill Fulkerson on 14 Sep 18 - No Cached
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    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Steve Bosserman

Escape to another world | 1843 - 0 views

  • What these individuals are not doing is clear enough, says Erik Hurst, an economist at the University of Chicago, who has been studying the phenomenon. They are not leaving home; in 2015 more than 50% lived with a parent or close relative. Neither are they getting married. What they are doing, Hurst reckons, is playing video games. As the hours young men spent in work dropped in the 2000s, hours spent in leisure activities rose nearly one-for-one. Of the rise in leisure time, 75% was accounted for by video games. It looks as though some small but meaningful share of the young-adult population is delaying employment or cutting back hours in order to spend more time with their video game of choice.
  • People work for many reasons – to occupy their time, to find purpose in life and to contribute to society, among other things – but the need to earn money typically comes top of the list. Money puts food on the table, clothes in the wardrobe and a roof overhead. Yet these days, satisfying those needs in the most basic way does not take an especially large income, particularly for those with the option of depending on family members for assistance. The reason to work harder and earn more than the minimum needed to survive is, in part, the desire to have something more than the bare necessities – nice meals, rather than the cheapest calories available, a car, holidays abroad, a home full of books and art. Much of the work we do is intended to earn the money to afford a few luxuries to add to our comfort and enrich our lives.Yet we face a trade-off. The harder we work, the less time we have to enjoy the luxuries our labour affords us. The more lavish the luxuries we seek, the more we must earn to acquire them, and the longer and harder we find ourselves working.
  • Stand back, however, and the implications are far more substantial than this. One can just about spot the vision of a distant, near-workless future in the habits of young gamers. If good things in life can be had for very little money, then working hard to have more than very little money looks less attractive. The history of the industrial era has been one in which technology has reduced the proportion of income devoted to necessities like food while providing vast new possibilities for consumption. As this happened, the hours worked by the typical person declined.
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  • A life spent buried in video games, scraping by on meagre pay from irregular work or dependent on others, might seem empty and sad. Whether it is emptier and sadder than one spent buried in finance, accumulating points during long hours at the office while neglecting other aspects of life, is a matter of perspective. But what does seem clear is that the choices we make in life are shaped by the options available to us. A society that dislikes the idea of young men gaming their days away should perhaps invest in more dynamic difficulty adjustment in real life. And a society which regards such adjustments as fundamentally unfair should be more tolerant of those who choose to spend their time in an alternate reality, enjoying the distractions and the succour it provides to those who feel that the outside world is more rigged than the game.
Steve Bosserman

Uber has cracked two classic '80s video games by giving an AI algorithm a new type of m... - 0 views

  • AI researchers have typically tried to get around the issues posed by by Montezuma’s Revenge and Pitfall! by instructing reinforcement-learning algorithms to explore randomly at times, while adding rewards for exploration—what’s known as “intrinsic motivation.” But the Uber researchers believe this fails to capture an important aspect of human curiosity. “We hypothesize that a major weakness of current intrinsic motivation algorithms is detachment,” they write. “Wherein the algorithms forget about promising areas they have visited, meaning they do not return to them to see if they lead to new states.”
  • The team’s new family of reinforcement-learning algorithms, dubbed Go-Explore, remember where they have been before, and will return to a particular area or task later on to see if it might help provide better overall results. The researchers also found that adding a little bit of domain knowledge, by having human players highlight interesting or important areas, sped up the algorithms’ learning and progress by a remarkable amount. This is significant because there may be many real-world situations where you would want an algorithm and a person to work together to solve a hard task.
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