CT No.206: Real Hollywood movie magic
Notes on production in the automation age
Notes on production in the automation age
This week's issue is a re-run of one of my favorite classic Content Technologist explainers. Originally published in February 2022, this post was inspired by a client who asked, simply, where was the source of the keywords I provided. Since writing this post two years ago, I'...
Do you know what language your audience is using? Do you know how to organize and position that keyword research to match your human-created, idea-rich content with your audience's needs?
When we publish content on behalf of a business — for any reason at all — we are always making an argument. We are always floating an idea for our audience to accept or reject. How can we bring ideas to the forefront of content production?
Closing out content administration month, the chum bucket takes LinkedIn, and a content analytics job worth one million dollars
Events next week! An intro to content administration! And the difference between the tech and media approaches to the content business
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.
Infrastructure, no matter how solid or planned or continuously improved, gets messy. Observing humanity in July feels like the ultimate UX research experiment.
July is prime chart-making season. July 2025 is one more chartmaking season that will not be powered by artificial intelligence, and here's why.