Welcome to ML Advocate. About us
Welcome
Most blogs, tutorials, and videos about machine learning and AI fall into one of two categories: technically impenetrable, or so simplified they’re basically wrong. Most people fill the gap with headlines, and headlines are written to be clicked, not to be judged. ML Advocate is the third option.
We look for the pattern under the headline. Machine learning and AI news repeats itself: different details, same behavior. Once you see the pattern, the next headline gets easier to judge.
It’s for professionals who work alongside machine learning and AI, and want to understand it, then use that understanding to do their jobs more effectively. It’s written by someone with more than 25 years in machine learning and AI, as a consultant, developer, and now product manager at a major tech company.
It’s also for curious people who don’t have time to sort through everything written about machine learning and AI. Once a month, The ML Advocate Monthly rounds up new ML Advocate posts, plus the best articles, podcasts, and videos from sources we trust.
And on Fridays, there’s a shorter series called Because it’s Friday that follows curiosity wherever it leads.
Short on time? , the site’s assistant. It answers from every post on the blog.
[Patterns first. Algorithms second.]
Explore topics
For curious professionals who want to understand the AI they work next to, and judge the next headline for themselves. With a soft spot for fun Friday stories.





How it works
Most people decide what to think about AI from headlines, and headlines leave out the part you’d need to judge them. Here is how we read them instead.
A sports stat, a chatbot that went off the rails, a headline everyone's sharing.
We look for the machine learning behavior underneath, the part that repeats from one story to the next.
Once you know the pattern, the next headline is easier to size up on your own.
From someone who has built these models since 2000 and still remembers how confusing they looked from the outside.
In early 2025, Anthropic and an AI safety company called Andon Labs gave Claude a small business to run.
Nov 13, 2026FoundationsA neural network is a stack of small calculations.
Nov 11, 2026FoundationsA support vector machine (SVM) decides where to draw the line between two groups using only a subset of the training…
Nov 11, 2026ML in the WildThe technology fans actually noticed at the 2026 World Cup, and the eight minutes no model could have predicted.
Nov 9, 2026FoundationsLanguage models were around long before ChatGPT.
Oct 1, 2026Because it’s FridayEgyptian fruit bats argue about food, sleeping spots, and other bats getting too close.
Sep 25, 2026Newsletter
One email a month with a roundup of new ML Advocate posts, plus the best machine learning and AI articles, podcasts, and videos from sources we trust. Each pick comes with a short note on why it made the cut. No hype, no doom.