# Machine Learning Pills Weekly pill-sized articles on key AI, Machine Learning and Data Science concepts. Page: Feed: --- ## [Weekly Dose #14 - AI Execution Is Getting Faster, Cheaper, and Harder to Control](https://mlpills.substack.com/p/weekly-dose-14-ai-execution-is-getting) _2026-08-15 · David Andrés_ 📰 The Weekly Dose ## [Issue #139 - Bayesian Models: How Sure Are You?](https://mlpills.substack.com/p/issue-139-bayesian-models-how-sure) _2026-08-12 · David Andrés_ 💊 Pill of the Week ## [Weekly Dose #13 - When AI Can Invent Attacks, Sandboxes Are Not Enough](https://mlpills.substack.com/p/weekly-dose-13-when-ai-can-invent) _2026-08-08 · David Andrés_ 📰 The Weekly Dose ## [Weekly Dose #12 - Open Weights, Stateless Agents and the New AI Control Problem](https://mlpills.substack.com/p/weekly-dose-12-open-weights-stateless) _2026-08-02 · David Andrés_ 📰 The Weekly Dose ## [Issue #138 - A Field Guide to Tree Models](https://mlpills.substack.com/p/issue-138-a-field-guide-to-tree-models) _2026-07-30 · David Andrés_ 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](https://mlpills.substack.com/p/weekly-dose-12-claude-opus-5-gemini) _2026-07-26 · David Andrés_ 📰 The Weekly Dose ## [Issue #137 - From Randomized to Natural Experiments](https://mlpills.substack.com/p/issue-137-from-randomized-to-natural) _2026-07-23 · David Andrés_ 💊 Pill of the Week ## [Weekly Dose #11 - AI Agents Are Getting Easier to Build, and Harder to Control](https://mlpills.substack.com/p/weekly-dose-11-ai-agents-are-getting) _2026-07-18 · David Andrés_ 📰 The Weekly Dose ## [Issue #136 - Prediction Is Not Causation: A Practical Introduction to Causal Inference](https://mlpills.substack.com/p/issue-136-causal-inference-why-your) _2026-07-14 · David Andrés_ 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… ## [Stream Torrents & IPTV Instantly (Sponsored)](https://crawlproof.com/a/FlpH1qLfPLcB) _2026-07-14 · **Sponsored**_ Search magnet links and stream movies, music, books, and live TV in-browser ## [Weekly Dose #10 - AI Is Getting Cheaper, and the Blast Radius Is Growing](https://mlpills.substack.com/p/weekly-dose-10-ai-is-getting-cheaper) _2026-07-12 · David Andrés_ 📰 The Weekly Dose