Monday, June 30, 2025
Lewis Black on AI in Education
Sunday, June 29, 2025
ICYMI: Call Your Senator Edition (6/29)
The Board of Directors here at the Curmudgucation Institute is excited because tonight summer cross country sessions start up, and they would like very much to start running endlessly through rugged terrain again. Cross Country was their first (sort of) organized sport, and it was a hit.
Meanwhile, however, the Senate GOP rolled their new version of the Giant Bloodsucking Bill Friday after midnight and apparently plan to vote on it tomorrow, because when you're going to pass a bill that screws over everyone (including future national debt-bearing generations) except some rich guys, you don't want to do more in the light of day than you can avoid.
Contact your senator today. I know it's unlikely to stem this wretched tide (hell, my GOP senator doesn't even live in my state), but if they are going to do this, they need to feel the heat. Put it on your to-do list for today.
Thanks, Supreme Court! It's now my right to prevent my kid from learning about Trump.Thursday, June 26, 2025
Mattel Promises AI Toys
Brad Lightcap, Chief Operating Officer at OpenAI, said: "We're pleased to work with Mattel as it moves to introduce thoughtful AI-powered experiences and products into its iconic brands, while also providing its employees the benefits of ChatGPT. With OpenAI, Mattel has access to an advanced set of AI capabilities alongside new tools to enable productivity, creativity, and company-wide transformation at scale."
Josh Silverman, Chief Franchise Officer at Mattel, said: “Each of our products and experiences is designed to inspire fans, entertain audiences, and enrich lives through play. AI has the power to expand on that mission and broaden the reach of our brands in new and exciting ways. Our work with OpenAI will enable us to leverage new technologies to solidify our leadership in innovation and reimagine new forms of play.”
You'll note that the poor meat widgets who work for Mattel are going to have to deal with AI and the "new tools to enable productivity, creativity, and company-wide transformation at scale."
As for play, well, who knows. Mattel's big sellers include Uno. If you don't have card-playing children in your home, you may be unaware that Uno now comes in roughly 647 different versions, including some that have new varieties of cards ("Draw 125, Esther!") and some that involve devices to augment game play, like a card cannon that fires cards at your face in an attempt to get you to drop out of the game before your face is sliced to ribbons. So maybe the AI will design new cards, or we'll have a new tower that requires you to eat a certain number of rocks based on whatever credit score it makes up for you.
Mattel is also the Hot Wheels company, so I suppose we could have chatting toy cars that trash talk each other. Maybe they could more efficiently make the "bbbrrrrrrrrrrrrrooom" motor noises quickly and efficiently, leaving children more free time to devote to other stuff. The AI could also design new cars; I'm holding out for the Datamobile that collects as much family surveillance data as possible and then drives itself to a Mattel station where it can download all that surveillance info to... well, whoever wants to pay for it.
But I think the real possibilities are with Mattel's big seller-- Barbie! Imagine a Barbie who can actually chat with little girls and have real simulated conversations so that the little girls don't have to have actual human friends.
The possibilities of this going horribly wrong are as limitless as a teen's relationship questions. Which of course are being asked of chatbots, because they trained on the internet and the internet is nothing if not loaded with sexual material. So yes, chatbots are sexting with teens. Just one of the many reasons that some auth0orities suggest that kids under 18 should not be messing with AI "companions" at all.
Maybe Mattel isn't going to do anything so rash. Maybe Barbie will just have a more 21st century means of spitting out one of several pre-recorded messages ("Math is fun!") Please, God, because an actual chatbot-powered Barbie would be deeply monstrous.
Scared yet? Just remember-- everything a bot "hears" and responds to it can also store, analyze and hand off to whoever is interested. Don't think if it as giving every kid a "smart" toy-- think of it as giving every kid a monitoring device to carry and be surveilled by every minute of the day. And yes, a whole bunch of young humans are already mostly there thanks to smartphones, but this would expand the market. Maybe you are smart enough to avoid giving your six year old a smartphone, but gosh, a doll or a car that can talk with them, like a Teddy Ruxpin with less creep and more vocabulary-- wouldn't that be sweet.
It's not clear to me how much AI capability can be chipped into a child's toy (do we disguise it by giving Barbie an ankle bracelet?) especially if the toymakers don't figure out how to get Barbie or the Datamobile logged into the nearest wi-fi. Best case scenario is that this mostly results in shittier working conditions for people at Mattel and toys that disappoint children by being faux AI. Worst case is a bunch of AI and child horror stories, plus a monstrous expansion of surveillances state (buy Big Brother Barbie today!).
But I have a hard time imagining any universe in which we look back on this "team" and think, "Gosh, I'm really glad that happened."
Monday, June 23, 2025
PA: Cyber Charters as District Killers
Sunday, June 22, 2025
ICYMI: Pride Edition (6/22)
This weekend my little under-50K county hosted its second annual Pride in the Park event, and it was a lovely day for it. Plenty of friends, many fun booths, some good food, live music--everything necessary for a fun park festival. A really nice way to get the summer under way.
The Institute's mobile office (aka my aging laptop) self-obliterated about a week ago, so purchasing and setting up the replacement has been sucking up time here. You really forget just how many apps and passwords and bits and pieces you have loaded into a machine until you have to replace them all. Meanwhile, I am really trying to keep my resolve to prioritize writing the book over posting and other ancillary activities, but sometimes the world makes it really hard.
A reminder that if you are reading on the original mother ship, there's a whole list of links to excellent writing about education. Now here's the list for the week.
Broad network of anti-student-inclusion groups impacts public educationFriday, June 20, 2025
Should AI Make Students Care?
Over the years I have disagreed with pretty much everything that Thomas Arnett and the Christensen Institute have had to say about education (you can use the search function for the main blog to see), but Arnett's recent piece has some points worth thinking about.
Arnett caught my attention with the headline-- "AI can personalize learning. It can’t make students care." He starts with David Yeager's book 10 to 25: The Science of Motivating Young People.
Yeager challenges the prevailing view that adolescents’ seemingly irrational choices—like taking risks, ignoring consequences, or prioritizing peer approval over academics—result from underdeveloped brains. Instead, he offers a more generous—and frankly more illuminating—framing: adolescents are evolutionarily wired to seek status and respect.
As someone who worked with teenagers for 39 years, the second half of Yeager's thesis feels true. I'd argue that both ideas can be true at once-- teens want status and respect and their underdeveloped brains lead them to seek those things in dopey ways. But Arnett uses the status and respect framing to lead us down an interesting path.
[T]he key to unlocking students’ motivation, especially in adolescence, is helping them see that they have value—that they are valued by the people they care about and that they are meaningful contributors to the groups where they seek belonging. That realization has implications not just for how we understand student engagement, but for how we design schools…and why AI alone can’t get us where we need to go.
This leads to a couple of other points worth looking at.
"Motivation is social, not just internal." In other words, grit and growth mindset and positive self-image all matter, but teens are particularly motivated by how they are seen by others, particularly peers. Likewise, Arnett argues that it's a myth that self-directed learning is just for a handful of smarty-pants auto-didacts. He uses Bill Gates and Mark Zuckerberg as examples, which is interesting as they are both excellent examples of really dumb smart people, so maybe autodacting isn't all it's cracked up to be. But his point is that most students are autodidacts-- just about things like anime and Taylor Swift. And boy does that resonate (I have a couple of self-taught Pokemon scholars right here). I'll note that all these examples point to auto-didactation that results in a fairly narrow band of learning, but let's let that go for now.
Arnett follows this path to an observation about why schools are often motivational dead zones:
The problem is that school content often lacks any social payoff. It doesn’t help them feel valued or earn respect in the social contexts they care about. And so, understandably, they disengage.
And this
Schools typically offer only a few narrow paths to earn status and respect: academics, athletics, and sometimes leadership roles like Associated Student Body (ASB) or student council. If you happen to be good at one of those, great—you’re in the game. But if you’re not? You’re mainly on the sidelines.
Students want to be seen, and based on my years in the classroom, I would underline that a zillion times.
The AI crew's fantasy is that students sitting in front a screen will be motivated because A) the adaptive technology will hit them with exactly the right material for the student and B) shiny! Arnett explains that any dreams of AI-aided motivation are doomed to failure.
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AI won't fix this |
Arnett's explanation is not exactly where I expected we were headed. Human respect is scarce, he argues, because humans only have so much time and attention to parcel out, and so it's valuable. AI has infinite attention resources, can be programed to be always there and always supportive. Arnett argues that makes its feedback worthless in terms of status and respect.
I'm not sure we have to think that hard about it. Teens want status and respect, especially from their peers. The bot running their screen is neither a peer, not even an actual human. It cannot confer status or respect on the student, nor is it part of the larger social network of peers.
Arnett argues that this might explain the 5% problem-- the software that works for a few students, in part because 95% of students do not use the software as recommended. Because why would they? The novelty wears off quickly, and truly, entertainment apps don't do much better. I don't know what the industry figures say, but my anecdotal observation was that a new app went from "Have you seen this cool thing!" to "That old thing? I haven't used it in a while" in less than a month, tops.
What keeps students coming back, I believe, isn’t just better software. It’s the social context around the learning. If students saw working hard in these programs as something that earned them status and respect—something that made them matter in the eyes of their peers, teachers, and parents—I think we’d see far more students using the software at levels that accelerate their achievement. Yet I suspect many teachers are disinclined to make software usage a major mechanism for conferring status and respect in their classrooms because encouraging more screen time doesn’t feel like real teaching.
From there, Arnett is back to the kind of baloney that I've criticized for years. He argues that increasing student motivation is super-important, and, okay, I expect the sun rise in the East tomorrow. But he points to MacKenzie Price's Alpha School, the Texas-based scam that promises two hour learning, and Khan Academy as examples of super-duper motivation, using their own company's highly inflated results as proof. And he compares software to "high dosage tutoring," which isn't really a thing.
Arnett has always been an edtech booster, and he's working hard here to get the end of a fairly logical path to somehow provide hope for the AI edtech market.
But I think much of what he says here is valuable and valid-- that AI faces a major hurdle in classrooms because it offers no social relationship component, little opportunity to provide students with status or respect. Will folks come up with ways to use AI tools that have those dimensions? No doubt. But the heart of Arnett's argument is an explanation of one more reason that sitting a student in front of an AI-run screen is not a viable future for education.
Wednesday, June 18, 2025
AI, Facing the Dark, and Human Sparknotes
But I confess that I am not as worried about hallucinations as a lot of people — and, in fact, I think they are basically a skill issue that can be overcome by spending more time with the models. Especially if you use A.I. for work, I think part of your job is developing an intuition about where these tools are useful and not treating them as infallible. If you’re the first lawyer who cites a nonexistent case because of ChatGPT, that’s on ChatGPT. If you’re the 100th, that’s on you.
Intuition? I suppose if you lack actual knowledge, then intuition will have to do. But this will be a recurring theme-- AI's lack of expertise in a field can be compensated for by a human with expertise in that field. How does that shake out down the road when people don't have expertise because they have leaned on AI their whole lives? Hush, you crazy Luddite.
Newton says he uses LLM for fact checking spelling, grammatical, and factual errors, and of course the first two aren't really AI jobs, but these days we just slap an AI label on everything a computer can do. Factual errors? Yikes. Roose says he likes AI for tasks where there's no right or wrong error. They both like it for brainstorming. Also for searching documents, because AI is easier than Control F? Mistakes? Well, you know, humans aren't perfect, either.
Roose notes that skeptics say that the bots are just predicting the next word in a sentence, that they aren't capable of creative thinking or reasoning, just a fancy autocomplete, and that all that will just turn this into a flash in the pan, and Roose has neatly welded together two separate arguments because A) bots aren't actually thinking, just running word token prediction models and B) AI will wash out soon-- those are not related. In fact, I think I'm not unusual in thinking that A is true, and B is to be hoped for, but unlikely. Anyway, Roose asks Newton to respond, and the response is basically, "Well, a lot of people are making a lot of money."
Roose and Newton are not complete dopey fanboys, and at one point Roose says something I sort of agree with:
I think there are real harms these systems are capable of and much bigger harms they will be capable of in the future. But I think addressing those harms requires having a clear view of the technology and what it can and can’t do. Sometimes when I hear people arguing about how A.I. systems are stupid and useless, it’s almost as if you had an antinuclear movement that didn’t admit fission was real — like, looking at a mushroom cloud over Los Alamos, and saying, “They’re just raising money, this is all hype.” Instead of, “Oh, my God, this thing could blow up the world.”
"Clear view of the technology" and "hype" are doing a lot of work here, and Roose and Casey fall into the mistake of straw manning AI skeptics by conflating skeptics and deniers (a mistake Newton has made before and to which Ben Riley responded well).
The other widely quoted chunk of the discussion is this one from Roose:
The mental model I sometimes have of these chatbots is as a very smart assistant who has a dozen Ph.D.s but is also high on ketamine like 30 percent of the time. But also, the bar of 100 percent reliability is not the right one to aim for here: The base rate that we should be comparing with is not complete factuality but the comparable smart human given the same task.
But the bots don't have Ph.D.s, and I don't want to work with someone juiced up on ketamine, and if bots aren't any better than humans, why am I using them?
The article is entitled "Everyone Is Using AI for Everything," which at least captures the concerning state of affairs.
Take the re-emergence of disgraced author and professional asshat James Frey (the guy who was shamed by Oprah for his fake memoir) who just put an AI-created book on the Book of the Month list. If that seems like a problem, Frey explained why he was happy to let AI do most of his work back in 2023.
I have asked the AI to mimic my writing style so you, the reader, will not be able to tell what was written by me and what was generated by the AI. I am also not going to tell you or make any indication of what was written by me and what was generated by the AI. It was I, the writer, who decided what words were put on to the pages of this book, so despite the contributions of the AI, I still consider every word of this book to be mine. And I don’t care if you don’t.
And there's the other article in the NYT section, a piece about using NotebookLM, a bot designed to help writers. "AI Is Poised To Rewrite Hostory," says editorial director Steve Wasik. He talks about how author Steven Johnson used the bot (which he had helped build) to sift through the research and generate story ideas. Muses Wasik:
Like most people who work with words for a living, I’ve watched the rise of large-language models with a combination of fascination and horror, and it makes my skin crawl to imagine one of them writing on my behalf. But there is, I confess, something seductive about the idea of letting A.I. read for me — considering how cruelly the internet-era explosion of digitized text now mocks nonfiction writers with access to more voluminous sources on any given subject than we can possibly process. This is true not just of present-day subjects but past ones as well: Any history buff knows that a few hours of searching online, amid the tens of millions of books digitized by Google, the endless trove of academic papers available on JSTOR, the newspaper databases that let you keyword-search hundreds of publications on any given day in history, can cough up months’ or even years’ worth of reading material. It’s impossible to read it all, but once you know it exists, it feels irresponsible not to read it.
What if you could entrust most of that reading to someone else … or something else?
On one level, I get it. I do a ton of reading. Did a ton of reading when I was teaching so that I could better represent the material. I do a ton of reading for the writing I do, and yes-- sometimes you tug on a string and a mountain falls in your lap and you despair of reading enough of it to get a picture of what's going on.
But, you know, working out is sweaty and painful. What if I could entrust most of that exercising to someone or something else? Keeping in touch with the any farflung members of my family is really hard and time consuming. What if I could entrust most that work to someone or something else? Preparing and eating food is time consuming and not always fun. What if I could entrustmost of that work to someone or something else?
Humaning is hard. Maybe I could just get some tech to human for me.
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Any day now |
I know. It's not a simple issue. I wear glasses and, in fact, have plastic lenses inserted in my human eyeballs. I drive a car. I enjoy a variety of technological aids that help me do my humaning both personally and professionally. But there's a line somewhere, and some of these folks have uncritically sailed past it, cheerfully pursuing a future in which they can hand off so many tasks to the AI that they can... what? Settle down to a happy life as a compact, warm ball of flash in a comfortable plasticene nest, lacking both cares and autonomy?
At what point do folks say, "No, you can't have that. That business belongs to me, a human."
But back to the specifics at hand.
I don't know how one separates the various parts of writing into categories like Okay If AI Cuts This Corner For Me and This Part Really Matters So That I Should Do It Myself (or, like Frey, simply decide that none of it is important except the part where you get to sign checks). Brainstorming, topic generation, research-- these are often targeted for techification, but why? I am often asked how I am able to write so much and so quickly, and part of my answer has always been "low standards," but it is also that I read so much that I have a ton of stuff constantly being churned over in my brain and my writing is just the result of a compulsion to process all that stuff into a written form.
That points to a major issue that Roose and Newton and Wasik all miss. Using the bot as a research assistant or first reader or brainstormer can only hope to be useful to a human who is already an expert. Steven Johnson can only use what his AI research bot hands him because he is expert enough to understand it. The notion that a human can use intuition to check the AI's work is a dodge-- what the human needs is actual expertise.
That may be fine for the moment, but what happens when first hand experience and expertise are replaced by "I read an AI summary of some of that stuff"?
At least one of Wasik's subjects wrestles with the hypocrisy problem of an educator who tells students to avoid the plagiarism machine and then employs the same bots to help with scholarship. But I wish more were wrestling with the basic questions of what parts of writing and reading shouldn't be handed over to someone or something else.
In some ways, this is an old argument. I talked to my students about Cliff notes and, later, Sparknotes, and I always made two points. First, what you imagine as an objective judgment is not, and by using their work instead of your own brain, you are substituting their judgment for your own. Not only substituting the final project, but skipping your own mental muscle-building exercise. Second, you are cheating yourself of the experience of reading the work. It's like kissing your partner at the end of an excellent date-- if it's worth doing, it's worth doing yourself.
No doubt there are some experiences that aren't necessarily worth having (e.g. spending ten years scanning data about certain kinds of tumors). But I'd appreciate a little more thoughtfulness before we sign everyone up to use sparknotes for humaning.