Weekly Dose #14 - AI Execution Is Getting Faster, Cheaper, and Harder to Control
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Machine Learning Pills
Weekly pill-sized articles on key AI, Machine Learning and Data Science concepts.
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Issue #139 - Bayesian Models: How Sure Are You?
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Weekly Dose #13 - When AI Can Invent Attacks, Sandboxes Are Not Enough
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Weekly Dose #12 - Open Weights, Stateless Agents and the New AI Control Problem
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Issue #138 - A Field Guide to Tree Models
Almost every tabular problem you will ever ship is solved by a tree. Not a neural network, not a linear model. A tree, or a few hundred of them stacked in some clever way. The confusing part is that “tree model” covers a dozen different algorithms with genuinely different behaviour, and the names do not tell you much. This is a tour of the ones worth knowing. For each one: what it is, how it…
Weekly Dose #12 - Claude Opus 5, Gemini 3.6 and the New Agent Stack
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Issue #137 - From Randomized to Natural Experiments
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Weekly Dose #11 - AI Agents Are Getting Easier to Build, and Harder to Control
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Issue #136 - Prediction Is Not Causation: A Practical Introduction to Causal Inference
Most of the models we build as ML practitioners answer one question: What is likely to happen? A churn model predicts who will leave. A demand model predicts next week’s sales. A risk model predicts who will default. But there is a second question that classical ML is surprisingly bad at answering: What will happen if I do something? Will this drug lower blood pressure? Will this retention…
Weekly Dose #10 - AI Is Getting Cheaper, and the Blast Radius Is Growing
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