CT No. 229: Eff The Patriarchy keychain on the ground
Considering the men who win the game| The Content Technologist
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.| The Content Technologist
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.| The Content Technologist
A late 2025 series aiming to break down the technologies that underpin generative AI, Large Language Models, Natural Language Understanding, and Information Retrieval. Featuring absolutely no math, minimal technical jargon, and lots of pop culture.| The Content Technologist
Before you choose a platform for yourself or your company, think seriously about what how you want to create, manage, distribute, maintain and monetize your content.| The Content Technologist
Sometimes, mid-planning, you'll hear something like, "We have to build out an entirely new content campaign that doesn't fit into our existing plan or budget because Wolverine is Canadian and his skeleton is infused with adamantine."| The Content Technologist
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,| The Content Technologist
We must remember: the internet is optimized to make us angry. Here's how I use LinkedIn without going crazy.| The Content Technologist
Considering the men who win the game| The Content Technologist
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!| The Content Technologist
The first step in natural language processing is creating word-numbers, represented as points in space. If this confuses you, you're not alone. Keep reading.| The Content Technologist
How to understand tokens and vector embeddings, for word people.| The Content Technologist
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues.| The Content Technologist
Infrastructure, no matter how solid or planned or continuously improved, gets messy. Observing humanity in July feels like the ultimate UX research experiment.| The Content Technologist
To put it another way: optimizing with GEO reverse engineering tactics is like entering a house through a small attic window. GEO ignores that the research frameworks literally embedded in the outputs of the model are the keys to the front door.| The Content Technologist
Are attractive websites more likely to trick experienced content strategists?| The Content Technologist
Perpetuated primarily by startups hungry for users and the entrepreneurial agencies and thought leaders who serve them, bad data begets worse expectations. Rapid rocketship visibility graphs imply that business results will follow—almost never the case long-term.| The Content Technologist
Links and books and an event| The Content Technologist
Don't ever tell anybody anything. If you do, you'll end up missing everybody.| The Content Technologist
