CT No.233: Adamantium skeleton
The storytelling tradition of SEO strategies and annual reports

Deborah Carver is the publisher of The Content Technologist. She is an independent consultant on all things digital publishing, specializing in large content-driven websites.
The storytelling tradition of SEO strategies and annual reports
In many email clients, that Spotify embed didn't work (although they work fine if you view in browser. But if you don't want to work even that hard, here are the playlists as boring regular links instead. * Best songs of 2024 * Christmas Goodies Have a lovely...
In lieu of a year in review, a survey, or any original content because I know you're all itching to log off, here's a playlist of my favorite songs from 2024, roughly tiered. If you're in the mood for something a bit more seasonal,...
We must remember: the internet is optimized to make us angry. Here's how I use LinkedIn without going crazy.
We must remember: the internet is optimized to make us angry. But, begrudgingly, I kinda like LinkedIn.
You can't predict the future, especially in publishing. You never know exactly which pieces of content will be hits and which will be a waste of time and money. But you can, as the finance folks have taught us, forecast your impact.
The words we publish and hold up for peer review remain the best representation of our brains at work in the digital world. A published paper is the best way to look closely at the foundational assumptions of LLMs. And those begin with pop culture.
Transformers take static vector embeddings, which assign single values to every token, and expand their context, nearly simultaneously as they process the context of every other word in the sentence. But who cares, let's listen to a pop song!
How to understand tokens and vector embeddings, for word people.
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues. While we can't understand the full equation, we can see how building blocks create common patterns in how current algorithms process language.