Saved by Ian Vanagas
How to Understand ML Papers Quickly
it’s important to be aware of how they work under the hood to avoid unnecessary costs and headaches.
Chip Huyen • AI Engineering: Building Applications with Foundation Models
The current wave of advances in artificial intelligence doesn’t actually bring us intelligence but instead a critical component of intelligence: prediction. Prediction is a central input into decision-making. Economics has a well-developed framework for understanding decision-making. The new and poorly understood implications of advances in predict
... See moreJoshua Gans • Prediction Machines


Whenever you hear about a supposed success in AI, here’s a list of six questions you could ask: Stripping away the rhetoric, what did the AI system actually do here? How general is the result? (E.g., does an alleged reading task measure all aspects of reading, or just a tiny slice of it?) Is there a demo where I can try out my own examples? (Be ver
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