Machine Learning System Design Interview, issue 15, Dec 2, 2025
The Counterintuitive Truth About Quantization and Robustness
Machine Learning Engineer interview at Google, and the interviewer asks:
“Our edge model is vulnerable to adversarial noise, but we have strict latency limits. Should we avoid quantization (keeping Float32) to preserve model stability?”
How “dumbing down” your model creates a natural shield against small-scale adversarial noise.
The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.