AI
Much has been made of next-token prediction, the hamster wheel at the heart of everything. (Has a simpler mechanism ever attracted richer investments?) But, to predict the next token, a model needs a probable word, a likely sentence, a virtual reason — a beam running out into the darkness. This ghostly superstructure, which informs every next-token prediction, is the model, the thing that grows on the trellis of code; I contend it is a map of potential reasons.
In this view, the emergence of super-capable new models is less about reasoning and more about “reasons-ing”: modeling the different things humans can want, along with the different ways they can pursue them … in writing.
Reasons-ing, not reasoning.
Back in 2013, the movie "Her" imagined what would happen if humans formed intimate relationships with computers. Now, in 2025, that movie plot has become reality for a growing number of people finding emotional connections with their AI companions. #ai #airelationship #artificialintelligence #news #technology #relationships
tiktok.com
We Did the Math on AI’s Energy Footprint. Here’s the Story You Haven’t Heard.
technologyreview.comtechnologyreview.comBut here’s the problem: These estimates don’t capture the near future of how we’ll use AI. In that future, we won’t simply ping AI models with a question or two throughout the day, or have them generate a photo. Instead, leading labs are racing us toward a world where AI “agents” perform tasks for us without our supervising their every move.
This AI boom has set off an existential crisis in me.
Some background: I’ve been teaching writing for the past six years. In that time, I developed frameworks for how to write well and a reputation as a good teacher to learn from. Partially because of the AI wave, I decided to stop teaching. It has only been four months... See more
David Perellx.com
The best post on the ethics of AI I’ve read. Robin is a master of words, and has a perspective on AI that is sorely needed.
