Guerrilla marketing: When someone built a fake deodorant company with a lightweight marketing plan to capture long-tail search results, she found her way into AI recommendation results, showing how brands can gain visibility in emerging discovery systems.
Grose covers how Scandinavians approach AI and ed tech by emphasizing peer review and removing the profit motive.
Reading about yesterday’s Meta settlement, the global movement to get kids off tech, “chopped uncs,” and thinking about the dance between students and our local school system’s IT department during the COVID-19 shutdown, when my then-elementary schooler was unwittingly participating in a digital cold war:
In our community, the kids were in remote learning for a full year and a half, and the IT department chased them around their approved digital tools like a game of whack a mole, shutting down access to chat and collaboration. In the meantime, almost no socialization happened between students that wasn’t directly observed by teachers. By 2021, the kids were engaged in secret, digital note-passing, chatting within Google docs and PPT slide decks and Pinterest DMs to avoid teacher surveillance on their approved tools. Where there is a will to socialize, there is a way.
Business Insider provides an update on how teen social media bans are going in Australia, and it’s not great! After a few months, kids steadily got back online, nearing or matching pre-ban levels.
“We all know that you can get lied to online at any point. If you don’t get that this is an obvious lie, then you’re washed and you’re unc and you’re chopped.”
Reading over the $18b Meta settlement over social media harms to children, and while it’s not perfect, it’s something. I’m a fan of default time limits, night and school-time blocks, and other limits baked into the software. It’s not fair to ask every parent to become an IT governance expert.
Finished reading: Famesick by Lena Dunham 📚
To read: this report from Common Sense Media, “Talk, Trust and Trade-Offs: How and Why Teens Use AI Companions.” About a third of teens have turned to an AI for serious conversations about their own mental health and relationships, showing these tools are already embedded in teen social life.
I listened to two great podcasts this week exploring the tangle of human/AI relationships. In “Computer Love,” the guests explore whether these relationships are good for us, and in “Your AI Companion Doesn’t Love You,” they explore the technical and business implications of these relationships. Both of these feature podcaster and writer Bridget Todd, who is promoting her new book “Love at First Prompt.” As of today, about 1 in 5 young people in the U.S. have asked a chatbot for mental health advice, and 1 in 5 high schoolers have had a romantic AI relationship.
Note: Todd’s (excellent) podcast title is a reference to Rule 30 of the internet.
Micro.bloggers: I’m interested in turning the link log into a micro.blog plug-in, but I don’t have the skill or the will to make it happen. Where should I begin?
When accidental engagement counts the same as intentional engagement.
Deep dive: What are platforms, and why do they have so much power?
Question for parents: How are you teaching your teens to stay safe and think about safety and security while they surf, shop, chat and learn on their digital apps and devices? Are you sharing books, articles and videos with one another? If so, which ones? I’m asking for a friend; the friend is me.
Question for micro.bloggers: Can you separate keywords by comma in this category filter field, or is it one word per filter? 
A linklog is a dated list of outbound links, maybe a tag, and a note about why it’s worthwhile. But that little note does two things at once, and together they make for a better web.
First, it’s a way of organizing the web. The web doesn’t sort itself, so finding good information depends on someone curating and tracking interesting content, preferably on the open, free internet. It acts as a customizable bookmark library: newest at the top, tags to group items, and a line explaining why the link was worthwhile. This is similar to what del.icio.us did, where people grouped and tagged links, creating a rough filing system.
Second, it’s a social act. An outbound link points to someone else’s work, so a linklog is essentially a renewable engine for sending traffic to other people and places. It stays renewable because the content is easy to sort and remix: a URL’s relevance no longer depends on where an algorithm or activity feed happens to place it, so older links can keep resurfacing instead of scrolling out of reach. That’s the precise opposite of what big platforms design for audiences; platforms such as Twitter, Instagram and Facebook quietly bury posts with outbound links to keep your attention (and dollars) on their site and with their advertising customers, losing relevance after one interaction. A linklog explores the opposing dynamic: it willingly hands your audience and attention away while crediting your forebears, comrades, mentors and co-conspirators. It turns the rough digital filing system into a “folksonomy,” if you will.
Compare these dynamics to an algorithmic feed on a platform. An algo also sorts the flood of content, but computer magic does the sorting, and someone else monetizes your attention and relationships and hoards your data. “Engagement” for these companies is primarily a measure of how long you stay on their platform with their content. The goal is to keep you scrolling and the ad revenue rolling. But over here on the indie internet, our goal is to build human communities online and connect people to quality information, tools, ideas and processes.
Back in the day, we had blogrolls, and blogrolls came with a lot of politics around representation and belonging, and some of those choices had real-world impacts. Who you listed in your sidebar was a public statement about your community and your allegiances; however, though smaller blogs linked to bigger ones, the big blogs rarely returned the attention. That contentious dynamic faded as social platforms became the main sites for online interaction, and the follow list, or the Twitter list, took over the blogroll’s old job of reinforcing networked hierarchies of writers and audiences. Because a blogroll is a static list of people, it hardens into a status game and is kind of stale the moment someone stops babysitting it; meanwhile, a linklog points at individual pieces of writing one at a time, so it stays current and rewards the work rather than the social and professional standing of the writer.
In this sense, a linklog is an easy way to be an opinionated curator and a decent neighbor at once, by hosting and sharing with thoughtfulness and deliberation. Out here, my data is also likely being scraped, but I have far more control over what data is findable, shared, and shareable, and over what is investigable and degradable over time.
Posting a lot while I get through the inbox today. Among other stories, WordPress is offering free hosting to students, marketing WP as a way to change how people relate to their own writing. Does a self-hosted public blog make students think differently about audience than a school LMS post does?
Chester argues that universities should govern AI by classifying data by sensitivity rather than approving specific tools. Public data goes anywhere –> regulated data requires an institutional contract –> sensitive data requires a local system. He also makes a renewed case for MS Copilot.
Community Notes was meant to democratize moderation power (and spare platforms the burden of thinking through moderation). Instead, a new paper shows that 20% of users cast 80% of ratings, and removing just ten active note writers from the pool changes what happens to nearly 5,000 community notes.
Gruber argues that AI text watermarking likely degrades prose quality and, even if it doesn’t, remains objectionable because it operates as an embargoed, unverifiable tag or signal controlled by providers like Anthropic and Google.
A person was found to be hiding an AI prompt injection in a legal filing that tells any AI that reads it to side with his perspective. The judge in this case likened it to “an automated agent communicat[ing] covertly with a juror during trial.”
Saw “The Odyssey” with the fam. 🍿