June 2026 Digest
Curated content for AI haters.
Readers, I have a burning rage within my heart.
During our departmental faculty "retreat" this week (really an 8-hour meetings with numerous discussion topics), my colleagues brought up generative AI on, by my count, at least 6 separate occasions. Once during a discussion of grad student qualifying exams, once during a discussion of how to improve a certain course, and so on. It was one comment from a faculty that really sent me into a frenzy: the notion that we could free up some of our grad students' time by having them "grade" student work by feeding it into tools like ChatGPT.
Not only is this straightforwardly a FERPA violation (which I swiftly brought up in an attempt to shut down this idea), something about this really activated me. I think about AI's impact on education daily as I prepare to make a new video about it this summer; today's Digest has numerous such readings about the subject. I can accept that there will always be some students who use LLMs in a capacity that we could consider cheating. However, the idea that we as instructors should be using it to "optimize our time" sent me over the edge.
What are we even doing here if students use AI to generate their work and then we use AI to grade it? It'd be two robots talking to each other instead of two humans. What are we even doing here if not building relationships with students and giving them personalized learning support? What are we "optimizing" for if not human connection?
The very premise of higher education is that, yes, you can find all this information at the public library, but education is more than collecting information. You choose to enroll in a degree program so that you can have those resources hand-curated for you, so that you have an instructor guiding you through the material in ways that challenge you, so that you can build relationships with mentors who can keep you accountable to your learning, and so that you can make professional connections that will serve you in your career.
LLMs have shattered this social contract. I see it in my work as a teacher. Students don't show up to class, they don't come to office hours, they don't build relationships with faculty. They don't even build relationships with one another; why work together on a homework assignment when AI can do it all for you? Nobody has to talk to anyone anymore, just plug the assignment from Canvas into Claude, then take the Claude output and submit it on Canvas. Getting an advanced degree in chemical engineering now merely involves moving text between digital interfaces alone in your room. Actually, thanks to "AI agents", even this is not required; new tools are emerging that do all of that autonomously, all for $10/month.
Dystopian as this may seem, I am delighted to see such a strong AI backlash amongst students. Skepticism that it can genuinely help them learn is on the rise, and more students are realizing every day that, hey, having a "do everything for me" button is not teaching them anything. What gives me the most hope, though, it talking to the very young.
This past Saturday, I hosted Queer Science, a day for LGBTQ+ teens to meet LGBTQ+ STEM researchers at the Five Colleges. The last event of the day, featuring a talk from my good friend and colleague Siobhan Meï, was about AI ethics. The room of Gen Z-Alpha Cusps was unanimous in their hatred of LLMs and how they've been incorporated at the high school level. Some were even forced to write their essays with ChatGPT, and one who refused got a worse grade on their essay because of it.
"No one is actually pro-AI," said one student when I asked about their peers' attitudes for the technology. "People either really hate it and don't use it, or they know it's bad for them but they don't care because they don't have any hope for the future." While most teachers assume that people only use ChatGPT because they're lazy, there's an even darker reality worth exploring; that while there have always been teenagers that are disillusioned or apathetic, our young people may be uniquely so, confronted with multiple apocalypses and responding by giving up.
Still, all the young queer people I met seemed to have the fight in them still. They asked for resources on why ChatGPT is bad for learning--which we happily provided--and seemed genuinely fired up about taking these resources to their principles. The possibility of claiming religious exemption from AI was even discussed. The kids are still out here fighting for the world they want. It's our job to have their back.
Happy Pride Month!
-Anna
Action Items
Enroll in my summer course, Plastics in Society, by the end of June for a guaranteed seat!
Science (this is all about AI I am so so sorry)
- Perhaps the biggest news story of May regarding AI in education: the Nature paper that said ChatGPT was good for education was retracted. In fact, it's not the only dubious paper on the subject. What a mess!
- There's been a huge boom in fabricated ("hallucinated") citations across all scientific research. Here's a Lancet article about fake citations in biomedical research.
- A new paper about the use on LLMs in NSF and NIH proposals.
- A Nature paper on how "warmer" models are less accurate.
- The latest on AI in K-12 education.
- A study on how some humans are staring to think the way they think AI thinks. Horrifying.
- An explanation as to why so many people turn to AI companions.
News
- Proof that no existing AI comes close to reaching AGI.
- We lack rigorous scientific methods to test AI safety.
- If AI only cites the most popular works, then works that are more niche won't get cited, thus perpetuating the Matthew Effect.
Opinions
- A good summary about why we should be against LLMs.
- A checklist for anyone in leadership who plans to adopt AI.
- Emily Bender's definition of AI.
- An interesting take on how, if AI is so good for programming, we should be seeing a flood of new software.
- A piece about how we are not measuring LLMs' impact on humans.
- Some Indigenous perspectives on data center construction.
- Brian Merchant's piece on the anti-data center movement.
- Longtime environmental advocate Erin Brockovich's take on data centers.

Watch History
- The best indie animation that I've seen in a while, "GOOD GIRL WITH A GUN".
- A new creator I just discovered on academic rigor being bullshit.
- Reverse-engineering a Tinder scam. (I'm grateful every damn day that I'm not on the dating market right now!!)
- Time management for academics, mostly grad students.
- The various ways in which tech companies lie to you.
- Proof that the mainstream LLMs are getting worse.
Bops, Vibes, & Jams
- MUNA's new album Dancing on the Wall may be my AOTY so far. Fav tracks: "Eastside Girls", "Wannabeher", "Big Stick".
- A close second might be Courtney Barnett's Creature of Habit. Let's go lesbians! Fav tracks: "Site Unseen feat. Waxahatchee", "Mantis", "Great Advice".
- NEW AVALANCHES NEW AVALANCHES NEW AVALANCHES
- Zay Dante's debut album TASTE is a solid first foray into "serious" music for the online comedian. Fav tracks: "BOUNCE", "SIX".
- Some other amazing albums: Kacey Musgraves' Middle of Nowhere, Kehlani's self-titled, and American Football's LP4.
Wholesomeposting






And now, your monthly Koko.

That’s all for now! Expect another Digest at the start of July.
In solidarity,
-Anna