Isabelle Levent

My lesson from these two examples is that it might be possible to make prompting “invisible” by making it part of the UI, and finetuning output for as much of the writer’s context as possible to make it more useful. Latency matters, and cost matters, which are wonderful because these tend to be “regular engineering” type problems rather than AI

Crawford elaborated in an interview. “When you have this enchanted determinism, you say, we can’t possibly understand this. And we can’t possibly regulate it when it’s clearly so unknown and such a black box,” she says. “And that’s a trap.”

Like oil and land, data are a common that is commodified by private actors for profits. The commons being commodified is our essence as humans: our interactions with society at large.

Even when these paragraphs fail, they make her interested in the story again. She’s curious about this computer-generated text, and it reignites her interest in her own writing.

In the course of a year, the tech industry’s dreary post-social, post-crypto interregnum was rapidly supplanted — largely as the result of public-facing efforts by OpenAI, which is reportedly in talks with Microsoft about a potential $10 billion investment — by a story about inevitable technologies that are  so  transformative,  so  incomprehensibl

Imagine an art-lover at an exhibition entitled ‘Dots 2008’. He speaks to two artists, each displaying a painting. In both cases, the art-lover cannot see past the seemingly random arrangement of dots of paint. He mentions this to the first artist, who says: “Oh, no, they’re not randomly placed. Each dot represents a friend of mine. The colour of