The desperate campaign to push AI down our throats is just what Nestlé did with baby formula, or Monsanto with patended seeds. Manufactured Intermediation—inserting a corporate tollbooth into a process that used to be self-sustaining, using a low initial barrier to entry to destroy the alternative.

Man Who Threw Molotov Cocktail At Sam Altman’s Home Claims He Was Following ChatGPT Recipe For Risotto https://theonion.com/man-who-threw-molotov-cocktail-at-sam-altmans-home-claims-he-was-following-chatgpt-recipe-for-risotto/

you can’t build democracy on a tech stack that is fundamentally anti-democratic

This is the part people don't seem to get. (And I'm not sure what I mean by "people" here, maybe like "in my social media comments saying things like 'humans get things wrong all the time!' or 'LLMs are more accurate every day!'") Many. People. Assume. Accuracy. www.nytimes.com/2026/04/07/t...

A cute little icon my friend and I designed to represent the concept of AI for our illustrations and such. It is a (stochastic) parrot puppet bursting out of a black box.

The White House’s new national AI policy framework appears to suggest certain harms are an acceptable cost, writes Sydney Saubestre from New America’s Open Technology Institute. That is a choice—a choice about whose reality gets treated as a policy problem and whose gets treated as an externality.

I recently saw an explanation for why you shouldn't blindly trust the accuracy of genAI (good) but then they said "you should only use AI for questions like 'what is 23°C in F?'". Using an LLM, an INCREDIBLY resource intensive system, to answer something so basic is genuinely horrifying.

Alt headline: "Unsatisfied with lighting money on fire, investors release it into vacuum of space"

I just saw Project Hail Mary and while I really enjoyed it, the way the translation was handled was yet another example of the complexity of language being ignored. It was distracting at moments that should have been emotional!

What is marketed as AI “innovation” is, in practice, a consolidation of global labor hierarchies and a commodification of African knowledge, write Marché Arends and Kathryn Cleary, drawing on their year-long investigation supported by the Pulitzer Center and published by Africa Uncensored.

I hear so much "well now that these products are here, you can't unopen that box" and like, yes, the technology exists, but people underestimate the resources needed. We CAN say no and make more stupid, harmful AI products go the way of Sora.

I have been thinking a lot about the way that a lot of problems with generative AI is that it is trying to do things via the medium of language and language is honestly just a really bad medium for this.

Perhaps it’s been everywhere, but I had not heard the phrase ‘the caring majority’ used before, and it captures something profoundly important. It is a concept that can ground a genuinely new kind of politics.

One of the many, many things genAI destroys is human collaboration. It actively creates loners, guys spinning off into the deep end with literally no one around them to go "hey what the fuck are you talking about" or "hey this sounds like the thing I've been working on" or "check out this book"

I'm no artist, but hopefully this gets the point across. A comic in three panels.

A silly little comic based on the opening section of AI Snake Oil by @randomwalker.bsky.social and @sayash.bsky.social.

Data labeling is notoriously brutal and underpaid work. Workers sometimes earn as little as a few dollars a day, work under algorithmic management, and, because they’re sometimes trying to train AI what not to do or show, they are often shown graphic, violent, or sexual content for hours at a time.

Does anyone know of any work looking into the way companies advertise data work jobs (specifically to people in the US/Canada/Europe) and if that has changed in the last few years.

the number of people i know -- all of whom should know better -- who are doing exactly this

“LLMs aren’t going away” statements are wishes, not predictions, that they’re trying to make happen. Treat them as advocacy for a specific future, not observations of inevitability

I'm trying to be less of a perfectionist and post more often, so here is a quick write up of sources I did to help a college student I know whose essay got incorrectly flagged as AI generated by an "AI detector". open.substack.com/pub/aylatayl...

Tech companies act like their products are something out of Star Trek, but they are not and pretending that they are is dangerous. open.substack.com/pub/aylatayl...

Data workers are essential to many AI efforts, but in my experience (on both sides of the equation) most data scientists and ML developers have no idea how to actually work with them. open.substack.com/pub/aylatayl...

I am reluctant to start a social media account again but I want to write more and make more connections with people who are working against the big tech narratives about AI, and this seems to be the place to be. So here we go.