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Maxwell is a new model that dynamically rewrites the binaries of running AI programs like Whisper and LTX-2 at runtime to speed them up, using formal verification to confirm the optimized version preserves correctness.
Second post in a three-part Percona series explaining how Profile-Guided Optimization (PGO) works: instrumented two-pass builds, per-edge counter collection, and how the compiler uses that data to drive inlining, branch layout, hot/cold function splitting, and instruction-cache locality.
This paper introduces EP-HUBO, a quantum-inspired method that treats evidence selection in chain-of-thought reasoning as a combinatorial optimization problem, significantly improving performance on legal reasoning benchmarks like MMLU-Pro law and LEXam by allowing minority-but-correct hypotheses to override noisy majorities.
A technical blog post demonstrating how Profile-Guided Optimization (PGO) with LLVM can significantly improve binary performance beyond standard -O3 and LTO, using SQLite as a benchmark.