There is something about the AI moment that reminds me a lot of when the internet was new. A lot of what was imagined and promised about the internet was never realized. But much was. I’ve been reading Ellen Ullman’s memoirs - “Life in Code” and “Close to the Machine” - and her observations about proximity to technology feel relevant here. Being close to the machine means understanding its actual capabilities and limitations apart from the prevailing sales narratives.
“Evidence from a study about workplace writers who use AI suggests that writers are outsourcing some of their research, editing, or drafting to AI, but that they retain responsibility for their writing.”
In 1999, academic and theorist Judith Butler famously won an award for the worst academic sentence, raising good questions about how we read difficult texts, who gets to access academic ideas, and the role of academic and plain language in and around the academy: The move from a structuralist account in which capital is understood to structure social relations in relatively homologous ways to a view of hegemony in which power relations are subject to repetition, convergence, and rearticulation brought the question of temporality into the thinking of structure, and marked a shift from a form of Althusserian theory that takes structural totalities as theoretical objects to one in which the insights into the contingent possibility of structure inaugurate a renewed conception of hegemony as bound up with the contingent sites and strategies of the rearticulation of power.
A lot of readers are fascinated with the “black box” of AI writing, and trying to reverse engineer what it does and why. John Gallagher goes down the rabbit hole and articulates some credible theories about why LLMs use lists and listing to create meaning, and why it matters.
French overlooks how smartphones and social media raised the stakes on debate and discussion, transforming campus discourse. Today’s students worry that one viral misstep (in countless directions) may define them forever.
Connected Places uses ICE as a case study to explore trust, safety, and community dynamics on decentralized social networks, examining how federation changes community moderation expectations we’ve developed from centralized platforms.
A new paper in Science Magazine explains how AI now allows propaganda campaigns to reach previously unprecedented scale and precision. This gets into the implications for organizations, institutions and nations.
Tiktok is not much better or worse than other major social platforms, I say. The primary arguments against TikTok, including data collection, algorithmic manipulation, potential foreign government access, addiction and influence on public opinion, apply with equal or greater force to American platforms. Meta has faced billions in fines for allowing privacy violations, enabled documented election interference, and its algorithms have been linked to mental health harms and the amplification of extremist content globally, including perpetuating a genocide in Myanmar.
The TikTok deal means American users will see a US-only algorithm. Brands and creators will likely see smaller audiences and higher costs for domestic reach. ByteDance faces split algorithms, divided workforces and parallel governance, complicating product delivery across global markets.
The promise of AI is that it makes work more productive, but the reality is proving more complex and less rosy.
I’m generally skeptical of anyone selling a solution to a social problem that relies on individual abstinence, so I tend to be annoyed with many arguments about the attention economy. I more or less land here on the question of AI, which I know many of my contemporaries will find similarly annoying.
Searching for Suzy Thunder: In the ’80s, Susan Headley ran with the best of them—phone phreakers, social engineers, and the most notorious computer hackers of the era. Then she disappeared.
While conspiring with a friend about life and work in these trying times, both of us confessed that we believe, at the root, that reading and writing are ultimately the cure for everything that ails us: collectively, individually, epistemically, existentially. Maybe that’s naive, but I’ll take it.
Make Canadian TV weird again (sponsored by The Red Green Show, probably).
If you spend time around cycling and pedestrian advocates, the debate between bans and regulations is familiar territory. When I got deep into road biking, where I learned to ride long distance through a red state with almost no bike infrastructure outside tight urban and exurban areas, one of the best things I did was take road classes through the League of American Bicyclists. You learn the rules of the road from a cyclist’s perspective and practice skills like riding with car traffic under expert guidance, including how to change a flat on the side of the road in the height of summer, gritty with sweat and road grime.
UW-Madison is among universities seeing federal terminations of international student visas. Public research universities have come to rely on these students to offset funding cuts. The losses are both financial and cultural.
404 Media on Wikipedia, reciprocity and collaboration online, and how to protect the public commons in the age of AI.
Wondering whether I want to switch to something more robust like Wordpress if I keep doing this thing, but at the same time I have enjoyed not working within and around the world of WP, which has dominated my CMS experience since the aughts.
This observation at the end of Manton’s post on AI and Wikipedia made me chuckle:
AI using Wikipedia reminds me of the FAQ on setting up a Little Free Library: _I think someone is stealing books from my library and selling them, what do I do?_ Remember that the purpose of a Little Free Library is to share books—you can’t really steal from it._
Woof: ads are coming to ChatGPT.