US and Israel launch strikes on Iran, as Trump says ‘massive’ campaign underway
Summary
This article describes building a fuzzer for a toy optimizer to detect correctness bugs introduced by optimization. It covers generating random programs, invariants comparing unoptimized vs optimized behavior, and a Python-based interpreter to model a heap and aliasing. It also describes a test harness and extensions, offering a practical blueprint for property-based testing of optimizers.