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Are Babies Born Good? | Science | Smithsonian - 0 views

  • The study of babies and young toddlers is a perplexing business. Even the most perceptive observers can be tempted to see what isn’t there.
  • “When our infant was only four months old I thought that he tried to imitate sounds; but I may have deceived myself,” Charles Darwin wrote in “A Biographical Sketch of an Infant,” his classic study of his own son.
  • Even well-behaved babies are notoriously tough to read: Their most meditative expressions are often the sign of an impending bowel movement.
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  • “People who’ve spent their whole careers studying perception are now turning toward social life, because that’s where the bio-behavioral rubber meets the evolutionary road,” Konner says. “Natural selection has operated as much or more on social behavior as on more basic things like perception. In our evolution, survival and reproduction depended more and more on social competence as you went from basic mammals to primates to human ancestors to humans.”
  • The lab’s initial study along these lines, published in 2007 in the journal Nature, startled the scientific world by showing that in a series of simple morality plays, 6- and 10-month-olds overwhelmingly preferred “good guys” to “bad guys.” “This capacity may serve as the foundation for moral thought and action,” the authors wrote. It “may form an essential basis for...more abstract concepts of right and wrong.”
  • spate of related studies hinting that, far from being born a “perfect idiot,” as Jean-Jacques Rousseau argued, or a selfish brute, as Thomas Hobbes feared, a child arrives in the world provisioned with rich, broadly pro-social tendencies and seems predisposed to care about other people.
  • No seasoned parent can believe that nurture doesn’t make a difference, or that nature trumps all. The question is where the balance lies.
    • David McGavock
       
      Key thought - where is the balance?
  • Wynn and her husband, the psychologist Paul Bloom, collaborated on much of Hamlin’s research, and Wynn remembers being a bit more optimistic: “Do babies have attitudes, render judgments? I just found that to be a very intuitively gripping question,” she says.
  • Infant morality studies are so new that the field’s grand dame is 29-year-old J. Kiley Hamlin, who was a graduate student at the Yale lab in the mid-2000s.
  • she stumbled on animated presentations that one of her predecessors had made, in which a “climber” (say, a red circle with goggle eyes) attempted to mount a hill, and a “helper” (a triangle in some trials) assisted him, or a “hinderer” (a square) knocked him down.
  • When I visited, Tasimi was recreating versions of Hamlin’s puppet shows as background work for a new project.
  • The child shot her a woebegone look before dutifully hauling himself out of the ball pit, picking up the pen and returning it to the researcher.
  • When babies at the Yale lab turn 2, their parents are tactfully invited to return to the university after the child’s third birthday.
  • The next lab I visited was at Harvard University in Cambridge, Massachusetts, and it has made this age group something of a specialty, through work on toddler altruism (a phrase that, admittedly, rings rather hollow in parental ears).
  • One advantage of testing slightly older babies and children is that they are able to perform relatively complicated tasks. In the Laboratory for Developmental  Studies, the toddlers don’t watch puppets help: They themselves are asked to help.
  • Warneken was initially interested in how little children read the intentions of others, and the question of whether toddlers would assist others in reaching their goals. He wanted to sound out these behaviors in novel helping experiments—“accidentally” dropping a hat, for instance, and seeing if the kids would return it.
  • prominent psychologists had previously argued that children are selfish until they are socialized; they acquire altruistic behaviors only as childhood progresses and they are rewarded for following civilization’s rules, or punished for breaking them.
  • One day he and a toddler were bouncing a ball together. Truly by accident, the ball rolled away—“the moment of serendipity,” as Warneken now calls it. His first impulse was to retrieve the toy and carry on, but he stopped himself.
  • The little boy watched him struggle, then after a moment heaved himself up, waddled over to the toy and—defying the scientific community’s uncharitable expectations—stretched out his own chubby little arm to hand the ball to his gigantic playmate.
  • In the following months, Warneken designed experiments for 18-month-olds, in which a hapless adult (often played by him) attempted to perform a variety of tasks, to no avail, as the toddlers looked on. The toddlers gallantly rescued Warneken’s dropped teaspoons and clothespins, stacked his books and pried open stubborn cabinet doors so he could reach inside.
  • videotaped experiment of a toddler wallowing in a wading pool full of plastic balls.
  • But the elements that underpin morality—altruism, sympathy for others, the understanding of other people’s goals—are in place much earlier than we thought, and clearly in place before children turn 2.”
  • Because they were manifested in 18-month-olds, Warneken believed that the helping behaviors might be innate, not taught or imitated. To test his assumption, he turned to one of our two nearest primate relatives, the chimpanzee.
  • The first chimps Warneken studied, nursery-raised in a German zoo
  • as the caretaker dropped the first object: As if on cue, the chimp bounded over and breezily handed it back.
  • Warneken wondered if perhaps human-reared chimps had been conditioned to be helpful to their food providers
  • They would consistently help when the person was reaching for the object,” even in the absence of any payoff.
  • The final step was to see if chimps would assist each other. So Warneken rigged apparatuses where one caged chimp could help a neighbor reach an inaccessible banana or piece of watermelon. There was no hope of getting a bite for themselves, yet the empowered chimps fed their fellow apes regardless.
  • But under what circumstances are toddlers altruistic?
  • Some recent chimp studies suggest that chimps won’t help others unless they witness the dismay of the creature in need. Are human children likewise “reactive” helpers, or can they come to another’s assistance without social cues?
  • “You can see the birth of this proactive helping behavior from around 1.5 to 2.5 years of age,” Warneken explains. “The children don’t need solicitation for helping. They do it voluntarily.” Proactive helping may be a uniquely human skill.
  • Criticisms of the “nice baby” research are varied, and the work with the youngest kids is perhaps the most controversial.
  • such method­o­­­logical worries are never far from baby researchers’ minds.
  • Other critics, meanwhile, fault the developmental philosophy behind the experiments.
  • these researchers argue, but actually they start from scratch with only senses and reflexes, and, largely through interaction with their mothers, learn about the social world in an astonishingly short period of time.
  • And still other scientists think the baby studies underestimate the power of regional culture.
  • Ideas of the public good and appropriate punishment, for instance, are not fixed across societies: Among the Matsigenka people of the Peruvian Amazon, where Henrich works, helping rarely occurs outside of the immediate household, if only because members of the tribe tend to live with relatives.
  • Plenty of bleak observations complicate the discovery of children’s nobler impulses. Kids are intensely tribal: 3-month-olds like people of their own race more than others, experiments have shown, and 1-year-olds prefer native speakers to those of another tongue.
  • Babies, in addition, are big fans of punishment. Hamlin likes to show a video of a young vigilante who doesn’t just choose between the good and bad puppets; he whacks the bad guy over the head.
  • Perhaps babies are not really trying to help in a particular moment, per se, as much as they are expressing their obliging nature to the powerful adults who control their worlds—behaving less like Mother Teresa, in a sense, than a Renaissance courtier. Maybe parents really would invest more in a helpful child, who as an adult might contribute to the family’s welfare, than they would in a selfish loafer—or so the evolutionary logic goes.
  • A different interpretation, Warneken says, is that in a simpler world maybe toddlers really could help, pitching in to the productivity of a hunter-gatherer group in proportion to their relatively meager calorie intake.
  • For many researchers, these complexities and contradictions make baby studies all the more worthwhile.
  • “I’m trying to think of a lesser-of-two evils study,” he says. “Yes, we have our categories of good and bad, but those categories involve many different things—stealing $20 versus raping versus killing. Clearly I can’t use those sorts of cases with, you know, 13-month-olds. But you can come up with morality plays along a continuum to see...whether they form preferences about whether they like the guy who wasn’t as bad as the other bad guy.”
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    "The study of babies and young toddlers is a perplexing business. Even the most perceptive observers can be tempted to see what isn't there."
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YouTube - Broadcast Yourself. - 1 views

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    YouTube idea incumbator/lab
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Ribbonfarm and Venkatesh Rao - 1 views

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    "My name is Venkatesh Rao (I go by 'Venkat') and I started writing the ribbonfarm blog in 2007. Since March, 2011, it has been my base for full-time writing, independent research, consulting and other random activities. I am also the author of a book on the interplay of timing and decision-making, Tempo and write an email newsletter called Be Slightly Evil. Between 1997 and 2011, I pursued a traditional research/entrepreneurial career (a PhD, a postdoc, a startup, and an industrial R&D lab where among other things, I founded trailmeme.com as Entrenrepeur-in-Residence). Ribbonfarm is a blog about looking at things from unusual perspectives (that's the "refactored perception" bit). The topics range from philosophy, art and sociology to business, innovation and technology. Unlike blogs that serve as content marketing channels for other products and services, Ribbonfarm is the main act here, and I try to organize the rest of my life and work around it.
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    I am looking for more people like this , looking at things from unusual perspectives (that's the "refactored perception" bit). The topics range from philosophy, art and sociology to business, innovation and technology. If you can indicate them to me, please do...
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Wiki:Participatory media lesson plans | Social Media CoLab - 1 views

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    "Wiki: Participatory media lesson plans These are a series of small lesson plans (I call them "labs") I've used as assignments for my students. These pages serve as more permanent reminders of what I show them during the face to face class meeting, as assignments, and as resource pages for further learning. Please feel free to add your own. Introduction to Forums Introduction to Blogging Introduction to Wikis Introduction to Social Bookmarking Introduction to RSS Introduction to Twitter/Microblogging Introduction to Mindmapping Introduction to Info Dashboards, Radars, and Filters Introduction to Setting Up a WordPress Blog Introduction to Map Mashups for Journalists"
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Q&A: David Eagleman, Director, Initiative on Neuroscience and the Law | SmartPlanet - 1 views

  • David Eagleman is about as close to a rock star that a neuroscientist can be.
  • Eagleman was excited to talk to SmartPlanet about his work at both the Initiative on Neuroscience and Law, a national, interdisciplinary organization he founded that’s looking at how to remake the U.S. legal system; and the Laboratory for Perception and Action, at Baylor College of Medicine. The former initiative tackles topics such as how brain imaging and analyses of “Big Data” on crime patterns can help communities better understand and prevent violent behavior in new ways. The latter looks broadly at how individual brains are not at all alike — and how the differences might be significant for how we construct and manage our societies.
  • His work is particularly relevant in policy-related discussions in the aftermath of the Sandy Hook Elementary School tragedy in Connecticut.
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  • “To the newsreaders who feel that mental illness is best viewed as an excuse, let me suggest instead that we might more effectually recognize it as a national priority for social policy,” he wrote on his blog shortly after the shootings.  “If we care to prevent the next mass shooting, we should concentrate our efforts on getting meaningful diagnoses and resources to the next Adam Lanza.”
  • Because we are able now to measure things we have never been able to measure before, this allows us potentially to customize sentencing and rehabilitation. The goal is to have the whole system be more just and have more utility.
  • Our system is built on the assumption that if you’re over 18 and over the IQ of 70, you’re a practical reasoner, free to choose how you act. But modern neuroscience suggests that those are not good assumptions.
  • I have to emphasize, though, that this is not about exculpation. I have to be very clear that this is really about customized sentencing and rehab that works.
  • It’s helpful to be able to talk about science in basic ways that anyone can understand. What I tell my students in my lab is that they need to be able explain their research to an 8th grader.
  • I’m an amateur history buff, and if I want to read about the Roman Empire, I don’t want to read an academic debate, but instead a narrative by a trusted guide who’s done their homework, who will offer the filter of how they understand the Roman Empire, to shepherd me through its history in only 200 pages.
  • Rather than “playful,” I’d say that my approach is simply the opposite of boring. It’s about looking for and then trying to answer questions that are poweful enough to get you out of bed at 5AM.
  • My intuition on this idea: being a good scientist or creative writer is about maintaining the wide-eyed wonder of a child and asking questions all the time. That’s what really makes discovery happen in any field.
  • Science is changing really rapidly. One way is that lots of scientists are moving into Big Data
  • Right now we’re involved with serious crunching to pull out statistical info on recidivism and crime. Our first challenge is visualizing it. So in this sense, creativity and art also relevant. Data visualization is really valuable stuff; you can discover a trend when you see, wow, I didn’t realize that bump would be there. To be able to tie together data in beautiful ways allows us to see and discover patterns.
  • I don’t have any fear about losing the mystery of creativity. If I explain every single chemical piece in the process of why you enjoy the taste of a soy latte, it wouldn’t diminish your enjoyment of a soy latte. It might even enhance it
  • Neuroscientists work on how to understand how brains construct reality in general, but we are in the position of fish trying to understand water. What I mean by that is that we only know one way of seeing the world very well, like a fish only knows water.  Learning about how synesthesia works allows us to get out of our fishbowl,
  • You don’t need to know anything about the brain to understand what shape or style will be appealing. We may come scrambling up behind advertisers and product designers and validate them. If Apple wanted to hire me, sure, I’d say yes immediately and do the best job I could! But honestly, they already know how to do it. They’re the design experts. We neuroscientists would in come with our fancy machines and theories and explain why what they do is already true.
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     "To the newsreaders who feel that mental illness is best viewed as an excuse, let me suggest instead that we might more effectually recognize it as a national priority for social policy," he wrote on his blog shortly after the shootings.  "If we care to prevent the next mass shooting, we should concentrate our efforts on getting meaningful diagnoses and resources to the next Adam Lanza."
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Create more than you consume  - Medium - 1 views

  • The Learning Pyramid states that people retain:90% of what they learn when they teach someone else/use immediately.75% of what they learn when they practice what they learned.50% of what they learn when engaged in a group discussion.30% of what they learn when they see a demonstration.20% of what they learn from audio-visual.10% of what they learn when they’ve learned from reading.5% of what they learn when they’ve learned from lecture.
  • One of the studies reviewed by our lab was on meditation and how being in the moment decreases the noise in your brain, leading to improved scores on working memory and intelligence tests.
  • When you tie an emotion to an experience, a hormone is released that greases the wheels at certain chemical locations in the brain where nerves rewire to form new memory circuits:
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  • When you consume in a passive way, by skimming and moving to the next thing, you’re at a learning disadvantage.
  • When I was in University, I worked at a psychology research center under the direction of one of Time Magazine’s Top 100 most influential people, Dr. Richie Davidson.
  • Self-taught individuals, also called autodidacts, are masters of retaining information largely because of their ability to reflect and put into action most of what they consume.
  • Instead of just trying to get to the end of your Twitter feed or articles that you saved for later, read each article as if you would need to tell a friend about it after.
  • 1-page summary immediately after every chapter he reads.
  • Nothing will help you absorb more of what you consume than trying to do. It’s through the mistakes made where the real learning happens.
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    Great article on creation, consumption, learning, memory
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Babies help unlock the origins of morality - Page 2 - CBS News - 0 views

  • Study after study after study, the results are always consistently babies feeling positively towards helpful individuals in the world. And disapproving, disliking, maybe condemning individuals who are antisocial towards others.
  • first published their findings about baby morality in the journal "Nature" in 2007, and they've continued to publish follow-up studies in other peer-reviewed journals ever since
  • babies seem to view the ball thief "as deserving punishment."
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  • do you think that babies, therefore, are born with an innate sense of justice?
  • What seems to be an ignorant and unknowing baby is actually a creature with this alarming sophistication,
  • What we're finding in the baby lab, is that there's more to it than that -- that there's a universal moral core that all humans share. The seeds of our understanding of justice, our understanding of right and wrong, are part of our biological nature.
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Do Babies Have a Moral Compass? Debate Heats Up | LiveScience - 0 views

  • In the original study, conducted by Yale researchers in 2007, groups of 6-month-olds and 10-month-olds watched a puppet show with neutral wooden figures, where one figure, the climber, was trying to get up a hill. In one scenario, one of the other figures, called the helper, assisted the climber up the hill. In the other scenario, a third figure, called the hinderer, pushed the climber down. Babies were then presented with the helper and hinderer figures so they could pick which one they preferred, and 14 out of 16 babies in the older group (10 months old) and all 12 of the 6-month-olds picked the helper. The study, which was published in the journal Nature, seemed to imply that infants could be good judges of character. [In Photos: How Babies Learn]
  • discrepancies would seem to make it tricky for infants to know that the climber needed help, and if they did, for them to know that the helper was helping. As such, it's possible the infants in the new study looked to these other variables (collisions and bounces) to make their decisions, Hamlin suggests.
  • Even if flaws did exist in their study, Hamlin and her colleagues point to various independent studies, one of which uses a similar setup without the "bouncing" of the climber, that support the "babies have a moral compass" theory. The researchers go on to note they have replicated their findings, that infants prefer prosocial others, in a range of social scenarios that don't include climbing, colliding or bouncing. Hamlin's other studies have shown babies are good judges of character.
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  • "On the help and hinder trials, the toys collided with one another, an event we thought infants may not like," lead researchers Damian Scarf said in a statement from New Zealand's University of Otago. "Furthermore, only on the help trials, the climber bounced up and down at the top of hill, an event we thought infants may enjoy."
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    "An experiment five years ago suggested that babies are equipped with an innate moral compass, which drives them to choose good individuals over the bad in a wooden puppet show. But new research casts doubt on those findings, demonstrating that a baby's apparent preference for what's right might just reflect a fondness for bouncy things."
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Maria Popova: In a new world of informational abundance, content curation is ... - 1 views

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    Is Twitter speech or text or both or neither?
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…My heart's in Accra » CHI keynote: Desperately Seeking Serendipity - 1 views

  • Cities embody political decisions make by their designers.
    • David McGavock
       
      Sounds like program or be programmed to me
  • It’s much harder to get the architects behind Facebook or Foursquare articulate the behaviors they’re trying to enable and the political assumptions that underly those decisions.
    • David McGavock
       
      Again - Programmers!
  • An urban planner who wants to make changes to a city’s structure is held in check by a matrix of forces: a desire to preserve history, the needs and interests of businesses and residents in existing communities, the costs associated with executing new projects. Progress is slow,
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  • For those planning the future of Facebook, it’s hard to study what’s succeeded and failed for MySpace, in part because an exodus of users to Facebook is gradually turning MySpace into a ghost town.
  • If we learn from real-world cities instead of abandoned digital ones, what lessons might we take?
    • David McGavock
       
      Conclusions
  • The Jacobs/Moses debate suggests we need to be cautious of architectures that offer convenience and charge isolation as a price of admission. This is the concern Eli Pariser articulates in his (excellent) new book, “The Filter Bubble“.
  • He worries that between Google’s personalized search and the algorithmic decisions Facebook makes in displaying news from our friends, our online experience is an increasingly isolated one,
  • They’re cars, rather than public transit or busy sidewalks.
  • A map of Vancouver overlaid with my friends’ recommendations is one thing; one that recommends restaurants based on paid advertisements and doesn’t reveal this practice is another entirely.
  • The map I want is the one that lets me shuffle not just through my friends’ preferences but through annotations from different groups: first time visitors to the city; long-time Vancouverites; foodies; visitors from Japan, Korea or China.
    • David McGavock
       
      A diverse sampling of taste
  • People’s actions inscribe their intentions onto a city.
  • Online spaces are often so anxious to show me how my friends are using a space that they obscure how other audiences are using it.
  • It’s possible to find out what’s popular on Facebook to an audience broader than that of your friends.
    • David McGavock
       
      Something Google+ should consider
  • One of the reasons curation is such a helpful strategy for wandering is that it reveals community maxima. It can be helpful to know that Times Square is the most popular tourist destination in New York if only so we can avoid it.
  • knowing where Haitian taxi cab drivers go for goat soup is often useful data on where the best Haitian food is to be found.
  • If you want to explore beyond the places your friends think are the most enjoyable, or those the general public thinks are enjoyable, you need to seek out curators who are sufficiently far from you in cultural terms and who’ve annotated their cities in their own ways.
    • David McGavock
       
      key to breaking the filter bubbles
  • Geocaching is its own peculiar form of community annotation, where the immediate goal is leaving your signature on someone else’s logbook, but the deeper goal is encouraging you to explore in a way you otherwise wouldn’t.
  • SF0, founded by a trio of Chicagoans transplanted to San Francisco, was designed to encourage players to discover things they’d never seen or done in the city, in a way that encouraged independence and exploration.
  • Combining the insights we may find from studying the organization of cities with the ability to reshuffle and sort digitally may let us think about designing online spaces for serendipity in different and powerful ways.
    • David McGavock
       
      Conclusion?
  • - How do we design physical spaces to encourage serendipity? - What lessons about serendipity in physical spaces can we bring into the virtual realm? - How can we annotate the physical world, digitally, in ways that expand our encounters with the world, rather than limiting them?
    • David McGavock
       
      Questions over conclusion
  • We hope that cities are serendipity engines. By putting a diverse set of people and things together in a confined place, we increase the chances that we’re going to stumble onto the unexpected. It’s worth asking the question: do cities actually work this way?
  • Most of us are fairly predictable
  • We hope for random encounter with a diverse citizenry to build a web of weak ties that increases our sense of involvement in the community, as Bob Putnam suggested in Bowling Alone. And we worry that we may instead isolate and cocoon ourselves when faced with a situation where we feel like outsiders, as Putnam’s recent research suggests.
  • “Census data can describe the segregation of my block, but how about telling me how segregated my life is? Location data points in that direction.
  • Nathan Eagle, who has worked with Sandy Pentland at MIT’s Media Lab on the idea of “reality mining”, digesting huge sets of data like mobile phone records, estimates that he can predict the location of “low-entropy individuals” with 90-95% accuracy based on this type of data
  • We all filter the places we live into the places where we’re regulars and the ones we avoid, the parts of town where we feel familiar and where we feel foreign. We do this based on where we live, where we work, and who we like to spend time with.
  • I’m less concerned about left-right polarization in the US, and more concerned about us/them polarization around the world
  • through the design of the systems we use and our behavior with those systems, I see reasons to worry that our use of the internet may be less cosmopolitan and more isolated that we would hope.
  • There were – and are – reasons to distrust curators, but there’s a critical aspect of their work I believe we need to preserve as we move towards new models for organizing news.
    • David McGavock
       
      interesting view of curation
  • Countries that have more than 40 million or more internet users generally have a very strong bias towards local sources – the mean is roughly 95%/5%, which makes Americans look (slightly) cosmopolitan in comparison.
  • US broadcast media focuses much more on entertainment stories than on international news.)
  • What’s striking to me about this preference data is that there’s so little effort required to access international news sources like BBC, the Times of India or the Mail and Guardian – they’re one click away and don’t require crossing a language barrier – and how strong the “local” bias for national news sources appears to be.
  • on January 12th, I published “What if Tunisia had a revolution, but nobody watched?“… and I got a lot of phone calls when Ben Ali fled the country two days later.
  • The revolution in Tunisia caught intelligence and diplomatic services around the world flat-footed. It didn’t have to – there was a wealth of information being published on Tunisian Facebook pages
  • I’m forced to admit that there’s no way I would have known about the revolution brewing if I didn’t have close Tunisian friends.
  • I’m less interested in the ways in which we limit our paths through cities than in how we constrain what we do and don’t encounter online.
    • David McGavock
       
      key point
  • On the other hand, curators invariably have biases
  • We need mechanisms to ensure that search gets complemented with serendipity.
    • David McGavock
       
      Point we have been discussing. Filter bubbles
  • Facebook offers a different answer to the question, “What do I need to know?” – “You need to know what your friends and your friends of friends already know that you do not.”
    • David McGavock
       
      Facebook world = ummm....
  • there’s a decent chance that their collective intelligence has some blind spots
  • The problem, of course, is that if your friends don’t know about a revolution in Tunisia or a great new Vietnamese restaurant, you may not know either.
  • It’s worth asking whether that bubble is able to provide us with the serendipity we hope for from the web.
  • Serendipity, at first glance, looks like the positive side of unintended consequences, the happy accident. But that’s not what the term meant, at least originally.
  • The word was coined by Horace Walpole, an 18th century British aristocrat,
  • A Google search turns up 11 million pages with the term, including restaurants, movies and gift shops named “serendipity”, but very few on unexpected discovery through sagacity.
    • David McGavock
       
      Serendipity vs. Sagacity
  • he refers to a Persian fairy tale, The Three Princes of Serendip, in which the titular characters were “always making discoveries, by accidents and sagacity, of things they were not in quest of.”
  • Louis Pasteur observed, “In the fields of observation chance favors only the prepared mind.”
  • In “The Travels and Adventures of Serendipity”, he and Barber explore discovery in a General Electric laboratory under the leadership of Willis Whitney, who encouraged a work environment that focused as much on fun as it did on discovery.
    • David McGavock
       
      Sounds like Google. Tinkering, time to play, time to work.
  • If we want to create online spaces to encourage serendipity, we might start by learning from cities.
    • David McGavock
       
      Moving to the point of online learning
  • Our loss, I believe, is that we’ve lost sight of the idea that we could prepare ourselves for serendipity, both personally and structurally.
  • vibrancy comes from the ongoing chance encounter between people using a neighborhood for different purposes, encountering one another as their paths intersect and cross.
  • The neighborhoods Jacobs celebrates are certainly not the most efficient in terms of an individual’s ability to move quickly and independently. Vibrancy and efficiency may not be diametrically opposed, but it’s likely that the forces are in tension.
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As Above, So Below: The Worldview of Lynn Margulis | Reality Sandwich - 2 views

  • This journey led her to emphasize in all her scientific work two phenomena -- the fusing of distinct beings into a single being: symbiosis; and the interaction of organisms and their environments to create relational "loops" that led to regulation of many Earth systems: Gaia Theory.
  • Bacteria were here first and are with us still, comprising a major part of the biosphere.  They are unseen with the naked eye, they lack nuclei (for this reason, they are called prokaryotes -- "pro" = before,  "karyon" = nucleus). Their forms were legion and their metabolisms were (and continue to be) strange.
  • What is known is that the spirochete didn't digest the thermoplasmid and the thermoplasmid did not digest the spirochete.  As Margulis was fond of saying, "1 + 1 = 1."  There was a union of the two, resulting in an entirely new being.  They were inseparable, literally.  The thermoplasmid had a rotor now, and the spirochete had a "head".
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  • Margulis, inspired by the work of little-known biologists, revealed and proved these mergers for us.  At first, her worked was rejected and scoffed at.  It did not fit the still-dominant neo-Darwinian paradigm that tells us all evolutionary novelty comes from natural selection acting on genes and the gradual accumulation of random genetic mutation.  But eventually these symbioses were accepted because they could not be ignored
  • our physical selves are universes composed of the movemenst, biological agreements, and interactions of these beings.
  • "Identity is not an object; it is a process with addresses for all the different directions and dimensions in which it moves..." Margulis once stated, with her colleague Ricardo Guerrero.
  • Indeed, symbiogenesis has been observed in the lab.  An amoeba population, accidentally infected with bacteria was observed over long periods of time, and soon enough, the infecting bacteria could not be removed from the infected amoeba without killing the organism. 
  • Gaia is the work of the relational loops of push and pull between bacteria, other organisms, and the environment
  • But Lovelock came up with an understandable and accesible metaphor in the form of a computer program called Daisyworld.  Daisyworld is not the "proof" of Gaia: Lovelock and his colleague Andrew Watson devised the program to see if living and environmental factors could theoretically interact without intention. 
  • After she found James Lovelock, they worked on making those processes known.  Their collaboration resulted in Gaia Theory, which was a disciplinary symbiosis -- the theoretical expression of Margulis's interdisciplinary life.
  • Gaia processes are real and observable (and sometimes referred to as "biogeochemistry", a term more acceptable to mainstream science).  Furthermore, the five kingdoms (bacteria, protoctists, fungi, plants, animals) of life are all touched by symbiosis
  • "Gaia," Margulis's former student Greg Hinkle said, "is just symbiosis as seen from space."
  • All animals have symbiotic partners in their guts.  Remove these symbionts and the animals die.
  • Many neo-Darwinist concerns circled nervously around words like "Gaia" and "cooperation" (which Margulis did not like to use).  They were, perhaps rightly, concerned that these terms were ripe for religious appropriation.  But Margulis herself was outspoken against such mishandling of her research. 
    • David McGavock
       
      Cooperation - not God - meets Gaia
  • Along with the many detailed examples of bacterial mergers at varying levels of cellular complexity, the world revealed by Acquiring Genomes is also a world of mating between distinct phyla
  • What is definite is that the merging of beings is key, and symbiogenesis offers a clearly observable alternative to the consistent but woefully incomplete neo-Darwinian paradigm.
  • David Bohm, who said
  • "Science is the search for truth...whether we like it or not."
  • Microcosmos show us a bacterial view of the world.  Bacteria exchange their genes laterally.  This means they don't pass their genomic information only when they reproduce (though this can happen), but also  through their simple existence.
  • it's much more complex than that -- there is something "in it" for every symbiont,
  • "Gaia is not merely an organism."  The Earth is beyond stale conception.  It is more magnificent and active than we can imagine.  Gaia is object and process.
  • this complexity is impossible to incorporate in a linear and reductive understanding.
    • David McGavock
       
      This is a question that I often wonder - how different thinkers (using different modes of understanding) come to different conclusions.  What is it that separates the linear (reductive) thinker from the holistic (systemic) thinker?
  • If Gaia is conscious, it possesses a consciousness of a different magnitude, probably of a different order all together.
  • To encompass complex systems with our thinking, we must imagine a model that is less like "cause-effect" more like "being-manifestation."  That is, multiple layers and numerous agents of forces unconsciously conspire together, and their conspiring is so intermingled, that it is simultaneously cause and effect, and thus beyond both. 
  • Dawkins, who claims to be an atheist, relies on a host of selfish angels within us and the possibility for meme-salvation to justify his theory.  He substantiates his magical worldview on a meager past of scientific work.
  • Perhaps as we -- in the newly and deeply connected world of the internet, social profiles, and globalization -- witness the dissolution of the cult of isolated individuality and embark on understanding a clearer and more nuanced view of individuality, so to will we ready ourselves for a clearer view of evolution and life.
    • David McGavock
       
      This is a good question; how does this connected world reframe our conception of ourselves as individuals? Can we, at once, become humbled while we contribute? Can we imagine ourselves as less important while we excel in our pursuits?
  • Now that Margulis has died, it remains our choice to catch up with what she and her life's work have set in motion.  To do so, we must bring together the many fields of knowledge she embodied.  Biologists must talk to physicists, virologists must talk to geologists, cosmologists must talk to microbiologists, and scientists musty talk to non-scientists.  This motion of meeting and exchanging ideas, if we act with it, will evolve our thinking.
  •  
    " Now that Margulis has died, it remains our choice to catch up with what she and her life's work have set in motion.  To do so, we must bring together the many fields of knowledge she embodied.  Biologists must talk to physicists, virologists must talk to geologists, cosmologists must talk to microbiologists, and scientists musty talk to non-scientists.  This motion of meeting and exchanging ideas, if we act with it, will evolve our thinking. "
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The Myth Of AI | Edge.org - 1 views

  • what I'm proposing is that if AI was a real thing, then it probably would be less of a threat to us than it is as a fake thing.
  • it adds a layer of religious thinking to what otherwise should be a technical field.
  • we can talk about pattern classification.
  • ...38 more annotations...
  • But when you add to it this religious narrative that's a version of the Frankenstein myth, where you say well, but these things are all leading to a creation of life, and this life will be superior to us and will be dangerous
  • I'm going to go through a couple of layers of how the mythology does harm.
  • this overall atmosphere of accepting the algorithms as doing a lot more than they do. In the case of Netflix, the recommendation engine is serving to distract you from the fact that there's not much choice anyway.
  • If a program tells you, well, this is how things are, this is who you are, this is what you like, or this is what you should do, we have a tendency to accept that.
  • our economy has shifted to what I call a surveillance economy, but let's say an economy where algorithms guide people a lot, we have this very odd situation where you have these algorithms that rely on big data in order to figure out who you should date, who you should sleep with, what music you should listen to, what books you should read, and on and on and on
  • people often accept that
  • all this overpromising that AIs will be about to do this or that. It might be to become fully autonomous driving vehicles instead of only partially autonomous, or it might be being able to fully have a conversation as opposed to only having a useful part of a conversation to help you interface with the device.
  • other cases where the recommendation engine is not serving that function, because there is a lot of choice, and yet there's still no evidence that the recommendations are particularly good.
  • there's no way to tell where the border is between measurement and manipulation in these systems.
  • if the preponderance of those people have grown up in the system and are responding to whatever choices it gave them, there's not enough new data coming into it for even the most ideal or intelligent recommendation engine to do anything meaningful.
  • it simply turns into a system that measures which manipulations work, as opposed to which ones don't work, which is very different from a virginal and empirically careful system that's trying to tell what recommendations would work had it not intervened
  • What's not clear is where the boundary is.
  • If you ask: is a recommendation engine like Amazon more manipulative, or more of a legitimate measurement device? There's no way to know.
  • we don't know to what degree they're measurement versus manipulation.
  • If people are deciding what books to read based on a momentum within the recommendation engine that isn't going back to a virgin population, that hasn't been manipulated, then the whole thing is spun out of control and doesn't mean anything anymore
  • not so much a rise of evil as a rise of nonsense.
  • because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth.
  • Cortana or a Siri
  • This pattern—of AI only working when there's what we call big data, but then using big data in order to not pay large numbers of people who are contributing—is a rising trend in our civilization, which is totally non-sustainable
    • David McGavock
       
      Key relationship between automation of tasks, downsides, and expectation for AI
  • If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous.
  • It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.
  • I'm going to give you two scenarios.
  • let's suppose somebody comes up with a way to 3-D print a little assassination drone that can go buzz around and kill somebody. Let's suppose that these are cheap to make.
  • Having said all that, let's address directly this problem of whether AI is going to destroy civilization and people, and take over the planet and everything.
  • some disaffected teenagers, or terrorists, or whoever start making a bunch of them, and they go out and start killing people randomly
  • This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it.
    • David McGavock
       
      Another key - focus on the actuator, not the agent that exploits it.
  • the part that causes the problem is the actuator. It's the interface to physicality
  • not so much whether it's a bunch of teenagers or terrorists behind it or some AI
  • The sad fact is that, as a society, we have to do something to not have little killer drones proliferate.
  • What we don't have to worry about is the AI algorithm running them, because that's speculative.
  • another one where there's so-called artificial intelligence, some kind of big data scheme, that's doing exactly the same thing, that is self-directed and taking over 3-D printers, and sending these things off to kill people.
  • There's a whole other problem area that has to do with neuroscience, where if we pretend we understand things before we do, we do damage to science,
  • You have to be able to accept what your ignorances are in order to do good science. To reject your own ignorance just casts you into a silly state where you're a lesser scientist.
  • To my mind, the mythology around AI is a re-creation of some of the traditional ideas about religion, but applied to the technical world.
  • The notion of this particular threshold—which is sometimes called the singularity, or super-intelligence, or all sorts of different terms in different periods—is similar to divinity.
  • In the history of organized religion, it's often been the case that people have been disempowered precisely to serve what were perceived to be the needs of some deity or another, where in fact what they were doing was supporting an elite class that was the priesthood for that deity.
    • David McGavock
       
      Technical priesthood.
  • If AI means this mythology of this new creature we're creating, then it's just a stupid mess that's confusing everybody, and harming the future of the economy. If what we're talking about is a set of algorithms and actuators that we can improve and apply in useful ways, then I'm very interested, and I'm very much a participant in the community that's improving those things.
  • A lot of people in the religious world are just great, and I respect and like them. That goes hand-in-hand with my feeling that some of the mythology in big religion still leads us into trouble that we impose on ourselves and don't need.
  •  
    "The idea that computers are people has a long and storied history. It goes back to the very origins of computers, and even from before. There's always been a question about whether a program is something alive or not since it intrinsically has some kind of autonomy at the very least, or it wouldn't be a program. There has been a domineering subculture-that's been the most wealthy, prolific, and influential subculture in the technical world-that for a long time has not only promoted the idea that there's an equivalence between algorithms and life, and certain algorithms and people, but a historical determinism that we're inevitably making computers that will be smarter and better than us and will take over from us."
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