Think of ChatGPT as a blurry JPEG of all the text on the Web. It retains much of the information on the Web, in the same way that a JPEG retains much of the information of a higher-resolution image, but, if you’re looking for an exact sequence of bits, you won’t find it; all you will ever get is an approximation. But, because the approximation is presented in the form of grammatical text, which ChatGPT excels at creating, it’s usually acceptable. You’re still looking at a blurry JPEG, but the blurriness occurs in a way that doesn’t make the picture as a whole look less sharp.
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ChatGPT Is a Blurry JPEG of the Web | The New Yorker - 0 views
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a way to understand the “hallucinations,” or nonsensical answers to factual questions, to which large-language models such as ChatGPT are all too prone. These hallucinations are compression artifacts, but—like the incorrect labels generated by the Xerox photocopier—they are plausible enough that identifying them requires comparing them against the originals, which in this case means either the Web or our own knowledge of the world. When we think about them this way, such hallucinations are anything but surprising; if a compression algorithm is designed to reconstruct text after ninety-nine per cent of the original has been discarded, we should expect that significant portions of what it generates will be entirely fabricated.
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ChatGPT is so good at this form of interpolation that people find it entertaining: they’ve discovered a “blur” tool for paragraphs instead of photos, and are having a blast playing with it.
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large-language models like ChatGPT are often extolled as the cutting edge of artificial intelligence, it may sound dismissive—or at least deflating—to describe them as lossy text-compression algorithms. I do think that this perspective offers a useful corrective to the tendency to anthropomorphize large-language models
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Even though large-language models often hallucinate, when they’re lucid they sound like they actually understand subjects like economic theory
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The fact that ChatGPT rephrases material from the Web instead of quoting it word for word makes it seem like a student expressing ideas in her own words, rather than simply regurgitating what she’s read; it creates the illusion that ChatGPT understands the material. In human students, rote memorization isn’t an indicator of genuine learning, so ChatGPT’s inability to produce exact quotes from Web pages is precisely what makes us think that it has learned something. When we’re dealing with sequences of words, lossy compression looks smarter than lossless compression.
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Even if it is possible to restrict large-language models from engaging in fabrication, should we use them to generate Web content? This would make sense only if our goal is to repackage information that’s already available on the Web. Some companies exist to do just that—we usually call them content mills. Perhaps the blurriness of large-language models will be useful to them, as a way of avoiding copyright infringement. Generally speaking, though, I’d say that anything that’s good for content mills is not good for people searching for information.
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If and when we start seeing models producing output that’s as good as their input, then the analogy of lossy compression will no longer be applicable.
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Having students write essays isn’t merely a way to test their grasp of the material; it gives them experience in articulating their thoughts. If students never have to write essays that we have all read before, they will never gain the skills needed to write something that we have never read.
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Sometimes it’s only in the process of writing that you discover your original ideas. Some might say that the output of large-language models doesn’t look all that different from a human writer’s first draft, but, again, I think this is a superficial resemblance. Your first draft isn’t an unoriginal idea expressed clearly; it’s an original idea expressed poorly, and it is accompanied by your amorphous dissatisfaction, your awareness of the distance between what it says and what you want it to say. That’s what directs you during rewriting, and that’s one of the things lacking when you start with text generated by an A.I.
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Popcorn Maker: A Dead-Simple Drag-and-Drop App For Remixing Web Videos | Co.Design: bus... - 1 views
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Letting Us Rip: Our New Right to Fair Use of DVDs - ProfHacker - The Chronicle of Highe... - 0 views
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Motion pictures on DVDs that are lawfully made and acquired and that are protected by the Content Scrambling System [CSS] when circumvention is accomplished solely in order to accomplish the incorporation of short portions of motion pictures into new works for the purpose of criticism or comment, and where the person engaging in circumvention believes and has reasonable grounds for believing that circumvention is necessary to fulfill the purpose of the use in the following instances: (i) Educational uses by college and university professors and by college and university film and media studies students; (ii) Documentary filmmaking; (iii) Noncommercial videos. [Note: the term "motion picture" does not solely mean feature films—for the Library of Congress, it refers to "audiovisual works consisting of a series of related images which, when shown in succession, impart an impression of motion, together with accompanying sounds, if any." Hence, the term includes television, animation, and pretty much any moving image to be found on DVD.]
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the longer explanation from the Library of Congress specifies that circumventing CSS on a DVD is only justified when non-circumventing methods, such as videotaping the screen while playing the DVD or using screen-capture tools through a computer, are unacceptable due to inadequate audio or visual quality. But nevertheless, this ruling greatly expands who can use ripping software to clip DVDs for academic and transformative use, including a range of derivative works like remix videos and documentaries.
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Now, no matter your discipline, you (or your technological partners) can do what I've been doing for the past three years: assemble a personal (or departmental) library of clips to access for class lectures. Now we can expand the use of those clips to embed in conference presentations, public lectures, digital publications, companion websites or DVDs to include with print publications, or other innovative uses that had otherwise been stifled by legal restrictions. For me, having a hard drive full of video clips on hand enables a mode of improvisation not available with DVDs—if discussion shifts to talking about an example of a film or television show that I've ripped a clip for another course, I can instantly play it in class even without planning in advance by bringing the DVD. Think of the conference presentations you've seen where a presenter fumbles over cuing and swapping DVDs—with a little bit of planning, clips can be directly embedded into a slideshow to avoid awkwardly wasting time.
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Would You Protect Your Computer's Feelings? Clifford Nass Says Yes. - ProfHacker - The ... - 0 views
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The Man Who Lied to His Laptop condenses for a popular audience an argument that Nass has been making for at least 15 years: humans do not differentiate between computers and people in their social interactions.
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At first blush, this sounds absurd. Everyone knows that it's "just a computer," and of course computers don't have feelings. And yet. Nass has a slew of amusing stories—and, crucially, studies based on those stories—indicating that, no matter what "everyone knows," people act as if the computer secretly cares. For example: In one study, users reviewed a software package, either on the same computer they'd used it on, or on a different computer. Consistently, participants gave the software better ratings when they reviewed in on the same computer—as if they didn't want the computer to feel bad. What's more, Nass notes, "every one of the participants insisted that she or he would never bother being polite to a computer" (7).
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Nass found that users given completely random praise by a computer program liked it more than the same program without praise, even though they knew in advance the praise was meaningless. In fact, they liked it as much as the same program, if they were told the praise was accurate. (In other words, flattery was as well received as praise, and both were preferred to no positive comments.) Again, when questioned about the results, users angrily denied any difference at all in their reactions.
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The Internet Intellectual - 0 views
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In Jarvis’s universe, all the good things are technologically determined and all the bad things are socially determined
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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
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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.”
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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
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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?
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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.
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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.
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Videoconferencing Alternatives: How Low-Bandwidth Teaching Will Save Us All | IDDblog: ... - 0 views
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The Green Zone: Underappreciated Workhorses Starting with the green zone in the lower left, we have readings with text and images. These types of assignments may not seem exciting, but sharing readings with students in a consistent and organized way provides your online course with a very practical, solid foundation. Email and discussion boards also belong in this quadrant. Online instructors have been using these three tools—file sharing (for readings and such), email, and discussion boards—for decades. And while that might make them sound boring, you can create some fantastic instructional experiences with just these three tools.
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The Blue Zone: Practical Immediacy Moving over to the lower right, we have low-bandwidth tools that can add immediacy to student interactions. If you’ve used Microsoft Office 365 or Google Drive, you’re probably already familiar with some of the features and benefits of collaborative document editors. These tools allow multiple people to edit and comment on the same document, spreadsheet, or presentation slides. Depending on how you structure your assignments, students could collaborate over an extended period of time, or they could go online at the exact same time and write and edit each other’s work simultaneously. When it comes to group chat/messaging, there are lots of free apps that can be useful in an educational setting. Slack and GroupMe are two popular examples. These mobile-friendly apps allow students to post text-based messages and images without requiring anyone in the group (including you!) to share their phone numbers. These tools allow students to communicate quickly and easily without scheduling an entire day around a formal video conference.
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Screencasting adds a human element to online courses because your voice creates a sense of presence that plain text can’t.
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Students are more likely to watch a series of shorter videos than a single, longer video, which is why I recommend instructors try to divide long screencasts into five-to-ten minute segments (whenever possible)
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asynchronous discussion with audio and video. If you’re not familiar with this concept, I’m referring to discussion tools that allow students to respond with audio and video instead of just text. One tool that’s been a leader for a long time in this multimedia discussion space is VoiceThread. While VoiceThread’s defining feature is its user-friendly approach to audio-based commenting, it can also be used to create narrated presentations with PowerPoints slides, images, and video. If you find yourself overwhelmed by the interface of a traditional screencasting tool, VoiceThread is worth exploring as a simpler way of recording online lectures and fostering discussions that go beyond plain text
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tools that require both high bandwidth and high immediacy, and the best examples of this are videoconferencing tools like Zoom or Skype. Videoconferencing is a great way to engage with students when they truly need to see and hear each other in real time. It can also be useful for online office hours, since it’s easier to feel connected and avoid misunderstandings when you have the benefit of tone of voice, facial expressions, and body language. Unfortunately, videoconferencing is one of the most inflexible and bandwidth-intensive activities we can ask our students to do. Before you rely on it too heavily, look at the other quadrants and ask yourself if there’s any other way to accomplish your learning objectives without it.
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None of this is to say that videoconferencing is inherently bad or that it has no place in an online course. It’s simply a reminder that seemingly small (and sometimes unconscious) choices about the technologies we use can have a big impact on how inclusive and effective our teaching is.