Some important—if disheartening—observations from Marwick.

Three cheers for ChatGPT or whatever.

Good article on a worrying trend. It’s things like this that make me skeptical of arguments that generative AI could have real benefit when used properly. It’s not that I disagree—it’s that in the aggregate, I’m not sure the proper uses will outweigh the problems.

Even if ChatGPT could be trusted to do this task, “let’s remove books from libraries with less work” is a good example of how efficiency isn’t always a good thing.

I get why folks in ed compare ChatGPT to Wikipedia, but there are important differences. Wikipedia is entirely non-profit, lays bare its knowledge generation process, can be fixed on the fly, and can’t actively generate problematic content. It’s not just about reliability.

So many important points in this piece.

This is not a future I look forward to (or a present I want to live in).

Lots of good stuff in here.

I’m not thrilled about AI’s ability to do this, but let’s be clear: Amazon is as much to blame here, and I like them even less.

This is a welcome step, but I’m concerned it’s an empty, distracting gesture—it certainly doesn’t solve the deeper issue.

Zoom’s responses to this are meaningless, empty corporate speak. I’m not concerned about owning my content, I’m concerned about others using it while affirming my ownership. And yes, I “consent” to it in the sense that I use Zoom, but that is meaningless consent and Zoom knows it. What a garbage response.

Haven’t read this yet, but I’m bookmarking for my classes.

It’s good to ask whether generative AI is good or bad for students, instructors, or education, but it’s arguably more important for ed. stakeholders to ask who else generative AI is good or bad for. Edtech needs to pay more attention to broader contexts.

Everyone excited about generative AI needs to account for this kind of thing. We don’t pay enough attention to digital labor and the dehumanizing aspects of content moderation.

I’m spending a chunk of today starting on revisions to my Intro to Data Science course for my unit’s LIS and ICT graduate prograrms. I’d expected to spend most of the time shuffling around the content and assessment for particular weeks, but I quickly realized that I was going to need to update what I had to say in the syllabus about plagiarism and academic offenses. Last year’s offering of the course involved a case of potential plagiarism, so I wanted to include more explicit instruction that encourages students to borrow code while making it clear that there are right and wrong ways of doing so. Likewise, my colleague Josh Rosenberg posted earlier today about ChatGPT’s Code Interpreter, and while I don’t know that my students will even know that’s an option, I wanted to get out ahead of that possibility, too.

I don’t like generative AI, and I get grumpy about advice to accept it and work it into classes (even though I probably agree with that approach at the end of the day). For all that dislike and grumpiness, though, I feel even more strongly that AI detectors are not the way to go. This is a really interesting article.

Fall 2023 will mark my fifth time teaching my department’s class on Content Management Systems. I have really loved taking on this class and making it my own over the past several years. It’s also been fun to see how teaching the class has seeped into the rest of my life: It’s a “cannot unsee” situation (in a good way!) where the concepts I teach work themselves into everyday encounters with the news, my own websites, and other things around the internet.

I’ve seen some reviews describe the new Mission Impossible movie (apparently featuring a malicious AI) as perfectly suited for our time of ChatGPT. I’m more worried about things like this: content farming, model collapse, etc.

Slowly realizing that I have no choice but to make generative AI one of the themes of my content management class in the fall.

I read that “chronological order of Star Wars” media piece mentioned here in io9 and I was baffled by how poorly done it was (not realizing it was done by AI and wondering how an io9 writer could get things so wrong). Using AI to content farm is a terrible idea.

I get that it’s straightforward language that everyone will get, but I think “uncensored” is the wrong word here. Content moderation is not (necessarily) censorship, and content moderation is good and helpful for tools like generative AI.

This is a wild, compelling story that I missed when it first came out. Glad to be reading it now.

Good focus on the digital labor aspects of this whole thing. I sympathize with Reddit for not wanting to provide free value for generative AI (this is one of the trickiest parts of that conversation), but Reddit’s users are right to balk at providing free value for the platform.