CT No. 196: An overly honest take on a whiplashed year
Everything loved and learned in 2023 and a preview of 2024
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CT No. 195: Moving past the Buzzfeed mythos
With data science and algorithms being panned into binary, good-versus-bad narratives, where can we find clarity and room to experiment?
CT No.194: Free will v. automated content recommendations
Is it science or is it fiction?
CT No.193: Succeeding in the business of digital content
Check out what we've been cooking up
CT No.192: Using quality behavioral data for stronger editorial content
Because last week's issue didn't actually send.
CT No.107 (rerun): Using quality behavioral data for stronger editorial content
This newsletter went out a little late today to give new subscribers from today's What's Next event, presented by the Minnesota Interactive Marketing Association (MIMA), a taste of what we're all about. Welcome, new subscribers! A couple of weeks ago I spoke with Mark...
CT No.248: Robots read text, not subtext
And other insights for developing content in the new era of AI-powered search
CT No. 247: For the rage monkeys and the print nerds
A holiday gift guide for the content professionals in your life
CT No.245: Billy Joel mathletics
Query fan-out is a new term for what's long been a bedrock of keyword-based language processing: the nouns are central to understanding the user's intent.
CT No.244: Explicating "attention" in LLMs
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.
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