Disgusting and deliberate.

It feels like it’s Big Tech’s world and schools are just living in it.

Ça fait plusieurs mois que je m’intéresse aux écrits de Jacques Ellul comme base théorique pour comprendre les techniques et technologies de nos jours. En fait, j’ai déjà écrit en février au sujet de l’intelligence artificielle générative et combien l’œuvre d’Ellul semble utile pour les critiques de l’IA malgré le fait qu’Ellul a vécu et écrit bien avant l’ère de l’IA comme nous la connaissons aujourd’hui.

Je suis en train de lire son livre posthume Théologie et technique (bien lentement, il faut l’avouer—j’avais commencé le livre en mai avant de devoir recommencer il y a quelques jours), et je trouve qu’il y a plusieurs passages qui me semblent utile lors des débats actuels au sujet de l’IA générative.

Voici des rappels importants.

Don’t know what to say here except that I don’t like any of this. Reminded of two arguments from Ellul:

• First, that an effective ethics of technology considers systematic effects, not “good” uses vs. “bad” uses,

• Second, that “because it exists” is not sufficient justification for adopting a technology.

Anyway, here’s the gift link.

More on why we need to talk epistemology when we talk generative AI:

Musk tweaking his AI model to be more aligned with right-wing edgelords was inevitable, but there’s a broader point to be made: each AI model is a black box that supposedly gives objective answers but in reality is shaped by its owners. As more people look to AI to learn about the world, the people who control how it’s trained and how it responds will control our prevailing narratives.

Voilà pourquoi il faut parler de la théorie de connaissance quand on parle de IA:

On est passé d’un moteur de recherche à un moteur de réponse. C’est-à-dire que les algorithmes proposent des versions rédigées à partir des données qu’ils auront collectées sur Internet, puis reformulées sans que vous ayez rendu visite aux sites contenant ces éléments de réponse à votre requête.

I can’t find the right words for how this story makes me feel.

This problem makes me so angry, and while I appreciate this article’s exploration of different policy solutions, they also feel overwhelming to me because so many of them come with problems of their own.

This is a good book, with a powerful thesis and a great epilogue that ties things together. It isn’t perfect, but I think most of my quibbles are related to the subject matter and the genre. It’s hard to write a book about a contemporary subject of such importance, and I think it’s tricky to write a book that combines history with more of a critical take on the AI ecosystem.

Reddit is a really interesting example of digital labor issues as they relate to both social media and AI. I wonder how things will go over the next few years.

Good overview of backlash to AI.

Bon, je comprends ces soucis, mais je ne suis pas sûr que de telles interdictions soient la bonne réponse. Pourtant, vu que je suis plus ouvert à une interdiction de l’IA à l’école, il faut que je développe un peu plus ma philosophie ici.

What. The. Hell. Is. This. Nonsense.

I dislike how true this rings.

Fanfiction is one of the most compelling examples of the labor issues related to generative AI.

I feel like we need to talk more about epistemology—and especially the social construction of facts—in the era of chatbot LLMs.

It was a real choice to start this dystopian comic the same day I got to the chapter in Karen Hao’s Empire of AI about Silicon Valley outsourcing the worst jobs to the Global South in the name of providing economic opportunity.

Bookmarked this a while ago and am finally reading it. So infuriating.

When I was in grad school, a faculty member in my program told me a story about his then-quite-young son, who was having a grand old time climbing on top of the kitchen table and then leaping off of it to the floor below. (Truth be told, my memories of this conversation are fuzzy, and the son might have been engaged in some otherwise dangerous behavior.) The father tried to tell the son to stop doing this, warning: “You could have hurt yourself!” The son’s response? “But I didn’t!” Sure, the action had been potentially dangerous, but the landing had been a success, and the son didn’t see what the big deal was.

Yesterday afternoon, I was explaining (poorly) to some friends that I had been thinking about what the story of the Liahona in the Book of Mormon has to teach readers of that volume of scripture about (generative) AI. So, that connection was naturally on my mind when I was reading more of Jacques Ellul’s Presence in the Modern World over breakfast.

I continue to be pleasantly surprised by how relevant Ellul’s writing feels for today. Presence in the Modern World was first written in 1948, and even if you consider that the translation I’m reading is based on a 1988 second edition, that’s still enough time to earn the description “prescient.” (I’ve been reading Ellul in a mix of translated English and original French, depending on what’s more practical for the book in question.) Here’s a passage that particularly stood out to me this morning:

We live in a dumb future.

There are some critical perspectives in this piece, but certainly not enough in my book. [gift link]

The “You do not blindly defer to mainstream authority or media” system prompt is raising questions already answered by the system prompt. Also, lol that they have to explicitly tell Grok not to call it “Twitter.”

Aside from the headline-grabbing parts of Grok’s recent freakout, this story does a really good job of emphasizing that AIs don’t “think”… and that “truth” isn’t really a valid concept either, no matter Musk’s marketing.