Skip to main content

Home/ Instructional & Media Services at Dickinson College/ Group items tagged marketing

Rss Feed Group items tagged

Ed Webb

What Bruce Sterling Actually Said About Web 2.0 at Webstock 09 | Beyond the Beyond from... - 0 views

  • things in it that pretended to be ideas, but were not ideas at all: they were attitudes
    • Ed Webb
       
      Like Edupunk
  • A sentence is a verbal construction meant to express a complete thought. This congelation that Tim O'Reilly constructed, that is not a complete thought. It's a network in permanent beta.
  • This chart is five years old now, which is 35 years old in Internet years, but intellectually speaking, it's still new in the world. It's alarming how hard it is to say anything constructive about this from any previous cultural framework.
  • ...20 more annotations...
  • "The cloud as platform." That is insanely great. Right? You can't build a "platform" on a "cloud!" That is a wildly mixed metaphor! A cloud is insubstantial, while a platform is a solid foundation! The platform falls through the cloud and is smashed to earth like a plummeting stock price!
  • luckily, we have computers in banking now. That means Moore's law is gonna save us! Instead of it being really obvious who owes what to whom, we can have a fluid, formless ownership structure that's always in permanent beta. As long as we keep moving forward, adding attractive new features, the situation is booming!
  • Web 2.0 is supposed to be business. This isn't a public utility or a public service, like the old model of an Information Superhighway established for the public good.
  • it's turtles all the way down
  • "Tagging not taxonomy." Okay, I love folksonomy, but I don't think it's gone very far. There have been books written about how ambient searchability through folksonomy destroys the need for any solid taxonomy. Not really. The reality is that we don't have a choice, because we have no conceivable taxonomy that can catalog the avalanche of stuff on the Web.
  • JavaScript is the duct tape of the Web. Why? Because you can do anything with it. It's not the steel girders of the web, it's not the laws of physics of the web. Javascript is beloved of web hackers because it's an ultimate kludge material that can stick anything to anything. It's a cloud, a web, a highway, a platform and a floor wax. Guys with attitude use JavaScript.
  • Before the 1990s, nobody had any "business revolutions." People in trade are supposed to be very into long-term contracts, a stable regulatory environment, risk management, and predictable returns to stockholders. Revolutions don't advance those things. Revolutions annihilate those things. Is that "businesslike"? By whose standards?
  • I just wonder what kind of rattletrap duct-taped mayhem is disguised under a smooth oxymoron like "collective intelligence."
  • the people whose granular bits of input are aggregated by Google are not a "collective." They're not a community. They never talk to each other. They've got basically zero influence on what Google chooses to do with their mouseclicks. What's "collective" about that?
  • I really think it's the original sin of geekdom, a kind of geek thought-crime, to think that just because you yourself can think algorithmically, and impose some of that on a machine, that this is "intelligence." That is not intelligence. That is rules-based machine behavior. It's code being executed. It's a powerful thing, it's a beautiful thing, but to call that "intelligence" is dehumanizing. You should stop that. It does not make you look high-tech, advanced, and cool. It makes you look delusionary.
  • I'd definitely like some better term for "collective intelligence," something a little less streamlined and metaphysical. Maybe something like "primeval meme ooze" or "semi-autonomous data propagation." Even some Kevin Kelly style "neobiological out of control emergent architectures." Because those weird new structures are here, they're growing fast, we depend on them for mission-critical acts, and we're not gonna get rid of them any more than we can get rid of termite mounds.
  • Web 2.0 guys: they've got their laptops with whimsical stickers, the tattoos, the startup T-shirts, the brainy-glasses -- you can tell them from the general population at a glance. They're a true creative subculture, not a counterculture exactly -- but in their number, their relationship to the population, quite like the Arts and Crafts people from a hundred years ago. Arts and Crafts people, they had a lot of bad ideas -- much worse ideas than Tim O'Reilly's ideas. It wouldn't bother me any if Tim O'Reilly was Governor of California -- he couldn't be any weirder than that guy they've got already. Arts and Crafts people gave it their best shot, they were in earnest -- but everything they thought they knew about reality was blown to pieces by the First World War. After that misfortune, there were still plenty of creative people surviving. Futurists, Surrealists, Dadaists -- and man, they all despised Arts and Crafts. Everything about Art Nouveau that was sexy and sensual and liberating and flower-like, man, that stank in their nostrils. They thought that Art Nouveau people were like moronic children.
  • in the past eighteen months, 24 months, we've seen ubiquity initiatives from Nokia, Cisco, General Electric, IBM... Microsoft even, Jesus, Microsoft, the place where innovative ideas go to die.
  • what comes next is a web with big holes blown in it. A spiderweb in a storm. The turtles get knocked out from under it, the platform sinks through the cloud. A lot of the inherent contradictions of the web get revealed, the contradictions in the oxymorons smash into each other. The web has to stop being a meringue frosting on the top of business, this make-do melange of mashups and abstraction layers. Web 2.0 goes away. Its work is done. The thing I always loved best about Web 2.0 was its implicit expiration date. It really took guts to say that: well, we've got a bunch of cool initiatives here, and we know they're not gonna last very long. It's not Utopia, it's not a New World Order, it's just a brave attempt to sweep up the ashes of the burst Internet Bubble and build something big and fast with the small burnt-up bits that were loosely joined. That showed more maturity than Web 1.0. It was visionary, it was inspiring, but there were fewer moon rockets flying out of its head. "Gosh, we're really sorry that we accidentally ruined the NASDAQ." We're Internet business people, but maybe we should spend less of our time stock-kiting. The Web's a communications medium -- how 'bout working on the computer interface, so that people can really communicate? That effort was time well spent. Really.
  • The poorest people in the world love cellphones.
  • Digital culture, I knew it well. It died -- young, fast and pretty. It's all about network culture now.
  • There's gonna be a Transition Web. Your economic system collapses: Eastern Europe, Russia, the Transition Economy, that bracing experience is for everybody now. Except it's not Communism transitioning toward capitalism. It's the whole world into transition toward something we don't even have proper words for.
  • The Transition Web is a culture model. If it's gonna work, it's got to replace things that we used to pay for with things that we just plain use.
  • Not every Internet address was a dotcom. In fact, dotcoms showed up pretty late in the day, and they were not exactly welcome. There were dot-orgs, dot edus, dot nets, dot govs, and dot localities. Once upon a time there were lots of social enterprises that lived outside the market; social movements, political parties, mutual aid societies, philanthropies. Churches, criminal organizations -- you're bound to see plenty of both of those in a transition... Labor unions... not little ones, but big ones like Solidarity in Poland; dissident organizations, not hobby activists, big dissent, like Charter 77 in Czechoslovakia. Armies, national guards. Rescue operations. Global non-governmental organizations. Davos Forums, Bilderberg guys. Retired people. The old people can't hold down jobs in the market. Man, there's a lot of 'em. Billions. What are our old people supposed to do with themselves? Websurf, I'm thinking. They're wise, they're knowledgeable, they're generous by nature; the 21st century is destined to be an old people's century. Even the Chinese, Mexicans, Brazilians will be old. Can't the web make some use of them, all that wisdom and talent, outside the market?
  • I've never seen so much panic around me, but panic is the last thing on my mind. My mood is eager impatience. I want to see our best, most creative, best-intentioned people in world society directly attacking our worst problems. I'm bored with the deceit. I'm tired of obscurantism and cover-ups. I'm disgusted with cynical spin and the culture war for profit. I'm up to here with phony baloney market fundamentalism. I despise a prostituted society where we put a dollar sign in front of our eyes so we could run straight into the ditch. The cure for panic is action. Coherent action is great; for a scatterbrained web society, that may be a bit much to ask. Well, any action is better than whining. We can do better.
Ed Webb

Harvard U. Institute Unveils Software That Helps Build Academic Sites - Wired Campus - ... - 0 views

  •  
    Worth taking a look for Dickinson? Or are we committed to the tepid design and existing CMS? I guess Academia.edu are also in this same market, although that is in the cloud rather than on institutional servers.
Ed Webb

Google and Meta moved cautiously on AI. Then came OpenAI's ChatGPT. - The Washington Post - 0 views

  • The surge of attention around ChatGPT is prompting pressure inside tech giants including Meta and Google to move faster, potentially sweeping safety concerns aside
  • Tech giants have been skittish since public debacles like Microsoft’s Tay, which it took down in less than a day in 2016 after trolls prompted the bot to call for a race war, suggest Hitler was right and tweet “Jews did 9/11.”
  • Some AI ethicists fear that Big Tech’s rush to market could expose billions of people to potential harms — such as sharing inaccurate information, generating fake photos or giving students the ability to cheat on school tests — before trust and safety experts have been able to study the risks. Others in the field share OpenAI’s philosophy that releasing the tools to the public, often nominally in a “beta” phase after mitigating some predictable risks, is the only way to assess real world harms.
  • ...8 more annotations...
  • Silicon Valley’s sudden willingness to consider taking more reputational risk arrives as tech stocks are tumbling
  • A chatbot that pointed to one answer directly from Google could increase its liability if the response was found to be harmful or plagiarized.
  • AI has been through several hype cycles over the past decade, but the furor over DALL-E and ChatGPT has reached new heights.
  • Soon after OpenAI released ChatGPT, tech influencers on Twitter began to predict that generative AI would spell the demise of Google search. ChatGPT delivered simple answers in an accessible way and didn’t ask users to rifle through blue links. Besides, after a quarter of a century, Google’s search interface had grown bloated with ads and marketers trying to game the system.
  • Inside big tech companies, the system of checks and balances for vetting the ethical implications of cutting-edge AI isn’t as established as privacy or data security. Typically teams of AI researchers and engineers publish papers on their findings, incorporate their technology into the company’s existing infrastructure or develop new products, a process that can sometimes clash with other teams working on responsible AI over pressure to see innovation reach the public sooner.
  • Chatbots like OpenAI routinely make factual errors and often switch their answers depending on how a question is asked
  • To Timnit Gebru, executive director of the nonprofit Distributed AI Research Institute, the prospect of Google sidelining its responsible AI team doesn’t necessarily signal a shift in power or safety concerns, because those warning of the potential harms were never empowered to begin with. “If we were lucky, we’d get invited to a meeting,” said Gebru, who helped lead Google’s Ethical AI team until she was fired for a paper criticizing large language models.
  • Rumman Chowdhury, who led Twitter’s machine-learning ethics team until Elon Musk disbanded it in November, said she expects companies like Google to increasingly sideline internal critics and ethicists as they scramble to catch up with OpenAI.“We thought it was going to be China pushing the U.S., but looks like it’s start-ups,” she said.
Ed Webb

It's just not working out the way we thought it would « Lisa's (Online) Teach... - 0 views

  • Gradually, closed spaces (Facebook, Ning, even Google if you understand what they’re up to) have become the norm, as have monetized sites. The spaces that were free are no longer free, although many of us freely contributed our own work to these sites, providing the basis of their popularity in the first place. Crowdsourcing, celebrated in story and song, has become the exploitation of the work of others in order to make money or provide cheap customer service. The use of personal information for marketing purposes is widespread, and creative people are leaving the platforms that brought everyone into the agora in the first place. Scholars at first enthusiastic about the future now see it as a lonely place. And I see conversations where people who care deeply about the web, education for the 21st century, and learning theories are beginning to back away from proselytizing about academic openness.
  • it’s about users becoming the products in the marketplace and the amusements in the panopticon
  • Where before it might have made sense to say we should make sure everyone is web literate, now such literacy extends beyond critical thinking about websites into a deeper understanding of what the using the web means for individual privacy and independence. This time, the enemies of openness and freedom won’t need to argue their philosophical reasons – they’ll argue that they’re protecting people. And the trouble is, they may be right.
  • ...1 more annotation...
  • We need to be the antidote for blind adoption
Ed Webb

Google pushes journalists to create G+ profiles · kegill · Storify - 0 views

  • linking search results with Google+ was like Microsoft bundling Internet Explore with Windows
  • Market strength in one place being used to leverage sub optimal products in another.
  • It's time to tell both Google and Bing that we want to decide for ourselves, thank you very much, if content is credible, instead of their making those decisions for us, decisions made behind hidden -- and suspicious -- algorithms.
Ed Webb

Op-Ed Contributor - Lost in the Cloud - NYTimes.com - 0 views

  • the most difficult challenge — both to grasp and to solve — of the cloud is its effect on our freedom to innovate.
  • Apple can decide who gets to write code for your phone and which of those offerings will be allowed to run. The company has used this power in ways that Bill Gates never dreamed of when he was the king of Windows: Apple is reported to have censored e-book apps that contain controversial content, eliminated games with political overtones, and blocked uses for the phone that compete with the company’s products. The market is churning through these issues. Amazon is offering a generic cloud-computing infrastructure so anyone can set up new software on a new Web site without gatekeeping by the likes of Facebook. Google’s Android platform is being used in a new generation of mobile phones with fewer restrictions on outside code. But the dynamics here are complicated. When we vest our activities and identities in one place in the cloud, it takes a lot of dissatisfaction for us to move. And many software developers who once would have been writing whatever they wanted for PCs are simply developing less adventurous, less subversive, less game-changing code under the watchful eyes of Facebook and Apple.
Ed Webb

Why I won't buy an iPad (and think you shouldn't, either) - Boing Boing - 1 views

  • If there was ever a medium that relied on kids swapping their purchases around to build an audience, it was comics. And the used market for comics! It was -- and is -- huge, and vital.
  • what does Marvel do to "enhance" its comics? They take away the right to give, sell or loan your comics. What an improvement. Way to take the joyous, marvellous sharing and bonding experience of comic reading and turn it into a passive, lonely undertaking that isolates, rather than unites.
  • a palpable contempt for the owner.
  • ...8 more annotations...
  • But with the iPad, it seems like Apple's model customer is that same stupid stereotype of a technophobic, timid, scatterbrained mother as appears in a billion renditions of "that's too complicated for my mom" (listen to the pundits extol the virtues of the iPad and time how long it takes for them to explain that here, finally, is something that isn't too complicated for their poor old mothers).
  • The model of interaction with the iPad is to be a "consumer," what William Gibson memorably described as "something the size of a baby hippo, the color of a week-old boiled potato, that lives by itself, in the dark, in a double-wide on the outskirts of Topeka. It's covered with eyes and it sweats constantly. The sweat runs into those eyes and makes them sting. It has no mouth... no genitals, and can only express its mute extremes of murderous rage and infantile desire by changing the channels on a universal remote."
  • Buying an iPad for your kids isn't a means of jump-starting the realization that the world is yours to take apart and reassemble; it's a way of telling your offspring that even changing the batteries is something you have to leave to the professionals.
  • Apple's customers can't take their "iContent" with them to competing devices, and Apple developers can't sell on their own terms.
  • I don't want my universe of apps constrained to the stuff that the Cupertino Politburo decides to allow for its platform. And as a copyright holder and creator, I don't want a single, Wal-Mart-like channel that controls access to my audience and dictates what is and is not acceptable material for me to create.
  • Rupert Murdoch can rattle his saber all he likes about taking his content out of Google, but I say do it, Rupert. We'll miss your fraction of a fraction of a fraction of a percent of the Web so little that we'll hardly notice it, and we'll have no trouble finding material to fill the void.
  • the walled gardens that best return shareholder value
  • The real issue isn't the capabilities of the piece of plastic you unwrap today, but the technical and social infrastructure that accompanies it.
Ed Webb

State of learning management systems in higher education - elearnspace - 0 views

  • The presentation includes the best diagram I’ve seen on LMS development, market share and current state:
Ed Webb

The Wired Campus - A Year Later, a Texas University Says Giving Students iPhones Is an ... - 1 views

  • Abilene Christian University says handing out iPhones to its entire first-year class in 2008 has improved interaction between students and faculty members.
  • Does positive feeling mean better teaching and learning? Mr. Schubert adds that it's too early to collect enough data to understand how giving out iPhones improves education. Student testimonials in the report, however, highlight easier access to professors. One savvy student says having an iPhone means he's less confused in class. "My professor will ask a question about something and I don't know what it is, but right here on my phone, with just one touch, I have Dictionary.com, I have a Wikipedia app—I can look it up," said Tyler Sutphen, a marketing major. "I know what they're talking about, because it's right there."
Ed Webb

How To Convert Your Blog Articles Into Cool Videos - 0 views

  •  
    Neat, possibly. Haven't tried it yet.
Ed Webb

The Internet Intellectual - 0 views

  • Even Thomas Friedman would be aghast at some of Jarvis’s cheesy sound-bites
  • What does that actually mean?
  • In Jarvis’s universe, all the good things are technologically determined and all the bad things are socially determined
  • ...7 more annotations...
  • Jarvis never broaches such subtleties. His is a simple world:
  • why not consider the possibility that the incumbents may be using the same tools, Jarvis’s revered technologies, to tell us what to think, and far more effectively than before? Internet shelf space may be infinite, but human attention is not. Cheap self-publishing marginally improves one’s chances of being heard, but nothing about this new decentralized public sphere suggests that old power structures—provided they are smart and willing to survive—will not be able to use it to their benefit
  • Jarvis 1.0 was all about celebrating Google, but Jarvis 2.0 has new friends in Facebook and Twitter. (An Internet intellectual always keeps up.) Jarvis 1.0 wrote that “Google’s moral of universal empowerment is the sometimes-forgotten ideal of democracy,” and argued that the company “provides the infrastructure for a culture of choice,” while its “algorithms and its business model work because Google trusts us.” Jarvis 2.0 claims that “by sharing publicly, we people challenge Google’s machines and reclaim our authority on the internet from algorithms.”
  • Jarvis has another reference point, another sacred telos: the equally grand and equally inexorable march of the Internet, which in his view is a technology that generates its own norms, its own laws, its own people. (He likes to speak of “us, people of the Net.”) For the Technology Man, the Internet is the glue that holds our globalized world together and the divine numen that fills it with meaning. If you thought that ethnocentrism was bad, brace yourself for Internet-centrism
  • Why worry about the growing dominance of such digitalism? The reason should be obvious. As Internet-driven explanations crowd out everything else, our entire vocabulary is being re-defined. Collaboration is re-interpreted through the prism of Wikipedia; communication, through the prism of social networking; democratic participation, through the prism of crowd-sourcing; cosmopolitanism, through the prism of reading the blogs of exotic “others”; political upheaval, through the prism of the so-called Twitter revolutions. Even the persecution of dissidents is now seen as an extension of online censorship (rather than the other way around). A recent headline on the blog of the Harvard-based Herdictproject—it tracks Internet censorship worldwide—announces that, in Mexico and Morocco, “Online Censorship Goes Offline.” Were activists and dissidents never harassed before Twitter and Facebook?
  • Most Internet intellectuals simply choose a random point in the distant past—the honor almost invariably goes to the invention of the printing press—and proceed to draw a straight line from Gutenberg to Zuckerberg, as if the Counter-Reformation, the Thirty Years’ War, the Reign of Terror, two world wars—and everything else—never happened.
  • even their iPad is of interest to them only as a “platform”—another buzzword of the incurious—and not as an artifact that is assembled in dubious conditions somewhere in East Asian workshops so as to produce cultic devotion in its more fortunate owners. This lack of elementary intellectual curiosity is the defining feature of the Internet intellectual. History, after all, is about details, but no Internet intellectual wants to be accused of thinking small. And so they think big—sloppily, ignorantly, pretentiously, and without the slightest appreciation of the difference between critical thought and market propaganda.
  •  
    In which Evgeny rips Jeff a new one
Ed Webb

I unintentionally created a biased AI algorithm 25 years ago - tech companies are still... - 0 views

  • How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.
  • Scientists also face a nasty subconscious dilemma when incorporating diversity into machine learning models: Diverse, inclusive models perform worse than narrow models.
  • fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.
  • ...3 more annotations...
  • Their training data is biased. They are designed by an unrepresentative group. They face the mathematical impossibility of treating all categories equally. They must somehow trade accuracy for fairness. And their biases are hiding behind millions of inscrutable numerical parameters.
  • biased AI systems can still be created unintentionally and easily. It’s also clear that the bias in these systems can be harmful, hard to detect and even harder to eliminate.
  • with North American computer science doctoral programs graduating only about 23% female, and 3% Black and Latino students, there will continue to be many rooms and many algorithms in which underrepresented groups are not represented at all.
Ed Webb

CRITICAL AI: Adapting College Writing for the Age of Large Language Models such as Chat... - 1 views

  • In the long run, we believe, teachers need to help students develop a critical awareness of generative machine models: how they work; why their content is often biased, false, or simplistic; and what their social, intellectual, and environmental implications might be. But that kind of preparation takes time, not least because journalism on this topic is often clickbait-driven, and “AI” discourse tends to be jargony, hype-laden, and conflated with science fiction.
  • Make explicit that the goal of writing is neither a product nor a grade but, rather, a process that empowers critical thinking
  • Students are more likely to misuse text generators if they trust them too much. The term “Artificial Intelligence” (“AI”) has become a marketing tool for hyping products. For all their impressiveness, these systems are not intelligent in the conventional sense of that term. They are elaborate statistical models that rely on mass troves of data—which has often been scraped indiscriminately from the web and used without knowledge or consent.
  • ...9 more annotations...
  • LLMs usually cannot do a good job of explaining how a particular passage from a longer text illuminates the whole of that longer text. Moreover, ChatGPT’s outputs on comparison and contrast are often superficial. Typically the system breaks down a task of logical comparison into bite-size pieces, conveys shallow information about each of those pieces, and then formulaically “compares” and “contrasts” in a noticeably superficial or repetitive way. 
  • In-class writing, whether digital or handwritten, may have downsides for students with anxiety and disabilities
  • ChatGPT can produce outputs that take the form of  “brainstorms,” outlines, and drafts. It can also provide commentary in the style of peer review or self-analysis. Nonetheless, students would need to coordinate multiple submissions of automated work in order to complete this type of assignment with a text generator.  
  • No one should present auto-generated writing as their own on the expectation that this deception is undiscoverable. 
  • LLMs often mimic the harmful prejudices, misconceptions, and biases found in data scraped from the internet
  • Show students examples of inaccuracy, bias, logical, and stylistic problems in automated outputs. We can build students’ cognitive abilities by modeling and encouraging this kind of critique. Given that social media and the internet are full of bogus accounts using synthetic text, alerting students to the intrinsic problems of such writing could be beneficial. (See the “ChatGPT/LLM Errors Tracker,” maintained by Gary Marcus and Ernest Davis.)
  • Since ChatGPT is good at grammar and syntax but suffers from formulaic, derivative, or inaccurate content, it seems like a poor foundation for building students’ skills and may circumvent their independent thinking.
  • Good journalism on language models is surprisingly hard to find since the technology is so new and the hype is ubiquitous. Here are a few reliable short pieces.     “ChatGPT Advice Academics Can Use Now” edited by Susan Dagostino, Inside Higher Ed, January 12, 2023  “University students recruit AI to write essays for them. Now what?” by Katyanna Quach, The Register, December 27, 2022  “How to spot AI-generated text” by Melissa Heikkilä, MIT Technology Review, December 19, 2022  The Road to AI We Can Trust, Substack by Gary Marcus, a cognitive scientist and AI researcher who writes frequently and lucidly about the topic. See also Gary Marcus and Ernest Davis, “GPT-3, Bloviator: OpenAI’s Language Generator Has No Idea What It’s Talking About” (2020).
  • “On the Dangers of Stochastic Parrots” by Emily M. Bender, Timnit Gebru, et al, FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, March 2021. Association for Computing Machinery, doi: 10.1145/3442188. A blog post summarizing and discussing the above essay derived from a Critical AI @ Rutgers workshop on the essay: summarizes key arguments, reprises discussion, and includes links to video-recorded presentations by digital humanist Katherine Bode (ANU) and computer scientist and NLP researcher Matthew Stone (Rutgers).
1 - 14 of 14
Showing 20 items per page