InLevel Up CodingbyEbuka (Gaus Octavio)·22h agoThe Causal Signal: How Optimizing Attention Biases Unlocks Long-Context Intelligence in LLMsThe prevailing architecture of large language models presents a fundamental paradox: they possess vast parametric knowledge yet lack a…
Clemence Ayekple·1d agoReddit Lost a Million Google Clicks a Week. Proving AI Mode Did It Is a Causal Inference ProblemReddit’s CEO blamed Google’s AI answers for its traffic cliff. He’s probably right, but “probably” won’t hold up in a board meeting. Here’s…
Gustau Camps-Valls·2d agoHumanitarian Aid Should Be SimpleWhen helping becomes political, good intentions are no longer enough. How AI, causal inference, and evidence-based policymaking may help us…
Arushi Kaushik·2d agoDid It Work? How Economists Separate Cause From CorrelationFour ways to find the counterfactual, with examples from everyday tech productsA response icon1A response icon1
Charles Hinshaw·4d agoWhen Evidence Changes, Which Results Can You Still Use?Suppose a service recommends whether to roll out a new onboarding process using an estimated effect on customer activation. The estimate…A response icon1A response icon1
Diogo Ribeiro·4d agoA Causal Estimate Has No Test SetI turned the script behind an earlier article into a pipeline that reads out a marketing campaign on the day its window closes. Replayed…
Dina Bavli·4d agoDigital Experiments: The Statistics Were Never the Hard PartEleven parts later, the durable lesson is not a formula. It is how to make a defensible decision before, during and after an experiment.
Charles Hinshaw·4d agoMove Causal Results Between Python Services with Their Context IntactSuppose a product team uses a background worker to estimate whether a new onboarding process improves customer activation. A reporting…
Charles Hinshaw·5d agoTurn an Effect Estimate Into a Rollout Decision You Can ExplainA product team is deciding whether to roll out a new onboarding process. An analysis estimates its benefit in customer activation, and the…
