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David McGavock

Transom » Radiolab: An Appreciation by Ira Glass - 0 views

  • Real journalism – and by that I mean fact-based reporting – is getting trounced by commentary and opinion in all its forms, from Fox News to the political blogs to Jon Stewart. Everyone knows newspapers are in horrible trouble. TV news continually loses ratings. And one way we broadcast journalists can fight back and hold our audience is to sound like human beings on the air. Not know-it-all stiffs. One way the opinion guys kick our ass and appeal to an audience is that they talk like normal people, not like news robots speaking their stentorian news-speak. So I wish more broadcast journalism had such human narrators at its center. I think that would help fact-based journalism survive.
  • particularly the places where the story turns, or where the hosts are to take different sides of an issue, those moments are always improvised.
  • Thus the utterly effortless chitchat that floats you so cheerfully from plot point to character moment to scientific explanation to the next plot point is actually worked over second by second and beat by beat, over the course of weeks.
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  • Jad’s an Oberlin-trained composer so he’s always either writing the music to fit the stories on his show, the way a composer writes a film score, or he adapts other people’s music so well you can’t tell it wasn’t custom made.
  • And all that meticulous work is in the service of something that’s the opposite of careful and meticulous: this totally chatty, happy, loose, spontaneous-sounding conversation between Jad and Robert and their interviewees.
  • on Radiolab. They invented this insanely concise, entertaining way to tell that story, and they have no problem hurtling through it quickly.
  • For my part, I find it comforting that this level of excellence is so labor intensive that they only can make ten full shows a year (plus, sure, 16 “shorts” that they distribute on the Internet). If they could do an hour of this every week, I think I’d have to quit radio. What would be the point of continuing? How could anyone compete with that?
  • There was an entire hour recently that took up the provocative question: from an evolutionary perspective, why would it be useful for us, or for any creature, to ever help one another? To ever be good? That’s a really hard premise for stories with ideas and emotion and strong characters and interesting plot lines.
  • Radiolab also does a beautiful job figuring out a mix of stories that’ll move us from one idea to the next over the course of an hour. Lots of their episodes have a coherent argument to them, an argument that takes an hour and several stories to lay out.
  • What’s striking is the ambition of all this. Jad and Robert seem to be inventing their effects and techniques as they go.
  • Sometimes it seems like the only people who understand how terrific the show is, are listeners.
  • “In an almost comic attempt to make their job hard, the duo take only the most difficult subjects from science and philosophy: ‘Time,’ ‘Morality,’ ‘Memory and Forgetting,’ ‘Limits.’”
  • Radiolab: An Appreciation I marvel at Radiolab when I hear it. I feel jealous. Its co-creators Jad Abumrad and Robert Krulwich have digested all the storytelling and production tricks of everyone in public radio before them, invented some slick moves of their own, and ended up creating the rarest thing you can create in any medium: a new aesthetic.
  • A 2010 NPR/SmithGeiger survey of news consumers who rightly should be in the public radio audience, showed that one of the biggest reasons adults say they choose not to listen to public radio is that they’re put off by the tone. One survey respondent said: “This type of story could be interesting, but the reporter’s voice and intonation is soooo affected, upper class, wasp, Ph.D. student-like, it detracts from the story.
  • This information is presented quickly and cheerfully. There’s a bounce to the whole thing. Music plays behind. Jad looks at a map, as he’s talking to Laura, naming the cities the balloon passed on its flight across England. It’s visual. Do I need to explain here that part of making great radio is remembering that you always need to give the audience things to look at?
  • All this banter also helps them solve a storytelling problem
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    Radiolab: An Appreciation I marvel at Radiolab when I hear it. I feel jealous. Its co-creators Jad Abumrad and Robert Krulwich have digested all the storytelling and production tricks of everyone in public radio before them, invented some slick moves of their own, and ended up creating the rarest thing you can create in any medium: a new aesthetic.
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    Telling a story - capturing the attention and curiosity of people. Sparking our humanity.
Donal O' Mahony

Classroom Collaboration Using Social Bookmarking Service Diigo (EDUCAUSE Quarterly) | E... - 1 views

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    Useful discusion of Diigo in education. In my recent and limited experience students need a strong context in which to use it in.
shai edrote

Troubleshooting and Fixing Computers - 2 views

My computer often experiences network trouble. It does not only cause me inconvenience but, it also causes delays in my work as well. I often hire computer technicians to help me troubleshoot my co...

Fix Computer

started by shai edrote on 12 Sep 11 no follow-up yet
sally pearson

Computer Help like No Other! - 1 views

ComputerHelpFastOnline answered my call for computer help fast! I never expected how quickly they can resolve my computer problem. Their computer help expert technicians really knew their job and...

computer help

started by sally pearson on 13 Jul 11 no follow-up yet
shai edrote

Software Support for My Business - 1 views

My business has never been in good shape as it is now. My sales are increasing, more customers are coming back and last of all, I have a reliable software support for my business computers. Actuall...

software support

started by shai edrote on 13 Jul 11 no follow-up yet
David McGavock

Interpersonal ties - Wikipedia, the free encyclopedia - 0 views

  • more novel information flows to individuals through weak rather than strong ties.
  • Acquaintances, by contrast, know people that we do not, and thus receive more novel information.[1]
  • the fact that two people may know each other by name does not necessarily qualify the existence of a weak tie. If their interaction is negligible the tie may be absent. The "strength" of an interpersonal tie is a linear combination of the amount of time, the emotional intensity, the intimacy (or mutual confiding), and the reciprocal services which characterize each tie.[2]
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  • In 1954, the Russian mathematical psychologist Anatol Rapoport commented on the "well-known fact that the likely contacts of two individuals who are closely acquainted tend to be more overlapping than those of two arbitrarily selected individuals." This argument became one of the cornerstones of social network theory.
  • In a related line of research in 1969, anthropologist Bruce Kapferer, published "Norms and the Manipulation of Relationships in a Work Context" after doing field work in Africa. In the document, he postulated the existence of multiplex ties, characterized by multiple contexts in a relationship.[4][5]
  • Social networks In social network theory, social relationships are viewed in terms of nodes and ties. Nodes are the individual actors within the networks, and ties are the relationships between the actors. There can be many kinds of ties between the nodes. In its simplest form, a social network is a map of all of the relevant ties between the nodes being studied.
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    "Interpersonal ties From Wikipedia, the free encyclopedia Nodes (individuals) and ties (connections) in social networks. In mathematical sociology, interpersonal ties are defined as information-carrying connections between people. Interpersonal ties, generally, come in three varieties: strong, weak, or absent. Weak social ties, it is argued, are responsible for the majority of the embeddedness and structure of social networks in society as well as the transmission of information through these networks. "
David McGavock

…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.
David McGavock

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.
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  • 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.
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    "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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