CT No.231: Call me a square
We must remember: the internet is optimized to make us angry. But, begrudgingly, I kinda like LinkedIn.
newsletter-archive
CT No.230: Forecasting content impact
A step-by-step method to proving the value of your 2025 content plans
CT No. 228: Candy corn, peanut butter cups, Milky Ways, and Smarties
How to use a measurement model to understand the effectiveness of content
CT No.227: Understanding content's effectiveness, no matter the business model
How to prove your content's value to your business
CT No.225: Your inner quant wants to shine, I swear
Everything from our archives about measuring content.
CT No.224: Wherefore we blog
Revisiting why and how we blog
CT No.242: What's your vector, Victor?
How to understand tokens and vector embeddings, for word people.
CT No.241: TF? ID(GA)F: The old faithfuls of language processing
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.
CT No.240: Mad inconvenient infrastructure
Infrastructure, no matter how solid or planned or continuously improved, gets messy. Observing humanity in July feels like the ultimate UX research experiment.
CT No.239: Please automate the tedious part for me
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.
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