Who could possibly have anticipated this?

Booooooo. That Wikipedia is being mined by AI scrapers and negatively affected by AI search is such a perfect encapsulation of my concerns about generative AI.

“AI is as good as any rubric” (an actual statement I overheard at a campus-wide meeting), if true, is more of an indictment of current assessment practice than praise of AI quality.

Some good (scary) observations in here—not least speculation on what xAI’s version of Sora would look like.

Strong Ellul vibes in this passage:

The tech could represent the end of visual fact — the idea that video could serve as an objective record of reality — as we know it. Society as a whole will have to treat videos with as much skepticism as people already do words.

Unclear, though, whether Ellul would be cool with increased skepticism of the image or angry at the technology causing it.

Something feels off here. An AI CEO who claims they genuinely didn’t anticipate copyright and deepfake concerns is either dumb or playing dumb. I can’t help but suspect the latter, which is arguably worse, since it suggests an effort to shift the discourse before complaints come in.

Just bookmarking everything I read on Sora for future grumpiness.

Platformizing AI video generation in the way OpenAI is doing right now just makes me grumpier than I already am.

Look, I know I’m predisposed to not like any new AI product, but this seems horrifying. Gift link.

Surprised that more isn’t made of the fact that Anthropic was surveilling users’ conversations for its research. Are professors and students thinking about the company’s ability to read everything they type?

I continue to believe that cracking down on intellectual property is not the right way to resist AI, but Koebler does a great job of describing how maddening it is that big companies are going to get away with worse infringement than individual people taking advantage of fair use.

Saw an AI “summarize this discussion” button in Canvas today and it was a real downer. It seems to be only instructor-facing, which is better(?) but still makes me angry.

More money for libraries, less for LLMs.

I’m a big fan of the 404 Media tech news outlet, and I also really enjoy their podcast. I especially appreciated an episode that I listened to yesterday, which I’m embedding below as a YouTube video (as an aside, I simply do not understand how YouTube has become a major podcast-listening medium, so it pains me a bit to do this, but I’m once again trying to write something quickly before getting to real work, and YouTube embeds are relatively easy to do in Hugo, so that’s what I’m going with.

Good overview of recent Grok nonsense.

This is horrifying. Reading the headline is one thing, but reading some of the details is stomach-churning. I’m not a lawyer, and as disgusted as I am with this, I don’t know what legal liability should look like here. I feel more comfortable describing this as ethically bankrupt, though. I think I would have many fewer concerns about generative AI if it weren’t a platformized consumer product. Whatever the right legal response to this is, OpenAI has some moral responsibility for this sort of thing.

If this is so great for the community, why won’t the company even identify itself publicly?

Helpful reminder that data center problems are not just hypothetical—they’re potentially local.

Closing digital divides is good, and increasing diversity in tech fields as good, but I’ve been complaining for years about computer science ed that we stop at the nobility of those goals and don’t ask ourselves about the deeper motivations behind those initiatives. So it is with AI: A more diverse field more available to all is better than what we have, but we also have to ask whether AI education is actually a social good.

This morning on Bluesky, I saw some posts about a class action lawsuit against Anthropic for their use of pirated, copyrighted materials in training their generative AI models. One of the sources of these copyrighted materials was the LibGen database, which I took a peek at nearly six months ago to confirm what I was already sure to be true: that my scientific writing was also collected as training material by companies like Anthropic or Meta. I don’t love that big tech companies are profiting off of my work in this way, and I’m sympathetic to the authors who are taking legal action against Anthropic. However, as I’ve written repeatedly over the past few years (you can find some of those thoughts—and others—by scrolling through here, I don’t know that copyright is the right way of responding to this kind of abuse.

I genuinely think it’s useful to remember that non-AI datacenters are also contributing to the climate crisis, but that doesn’t let AI off the hook. It’s like saying “sure, we’re spending far beyond our means, but have you considered that we’re already in debt?

This sucks. I don’t have a lot of sympathy for Reddit here, which has shown over the past few years a dedicated interest in monetizing its userbase.

Ma carrière se divise entre une valorisation des pratiques numériques perçues comme n’ayant pas d’importance et une critique des technologies qui permettent ces pratiques. J’avoue que je me sens vraiment divisé pour cet exemple !

Look, nothing really new in here (Clearview should have made parents rethink the same ages ago, etc.), but yes, AI should get parents to be a hell of a lot more careful with posting pictures of kids.

I hadn’t thought about these two trends (cracking down on adult content, and Grok being Grok) being in tension with each other, and I appreciate what this article does to make that clear.