It was a very insightful week during this year’s cluster of conferences CC/CGO/HPCA/PPoPP in Las Vegas, USA, March 1 - March 5, 2023. The CC chair presented two papers at CC’25, both with tested and reproducible artefacts. In a collaboration with Fernando Magno Quintão Pereira, we developed "A Comparative Study on the Accuracy and the Speed of Static and Dynamic Program Classifiers”, which analyses the difference in accuracy of program classification when using different types of histograms as program representations (on x86 code or LLVM IR, with static or dynamic information), while testing for robustness to code obfuscation. Alex Brauckmann, a previous researcher at the CC Chair, presented "DFA-Net: A Compiler-Specific Neural Architecture for Robust Generalization in Data Flow Analyses”, which resulted from a collaboration with Meta AI and Mike O’Boyle. The paper describes a novel ML architecture that greatly outperforms standard ones in terms of generalization power for classical compiler analyses.