Frances Buontempo joins Phil and returning guest co-host, Matt Godbolt. Frances talks to us about her new book on modern C++ as well as her the topic of her previous book on machine learning. We discuss the differences between LLM-based AI and more statistical approaches, as well as where random numbers fit into all this and the limitations of their current support in C++.
News
CppCon programme announcedC++ on Sea videos"Inside STL" - The Old New Thing (August archive)Open source C++ projects that use modern C++ features (Reddit)Links
"C++ Bookcamp" (title may change) - Frances' new book"Genetic Algorithms and Machine Learning for Programmers" - Frances' previous bookOverload issues (submit articles on the main ACCU site)Frances' paper bag escapology certificateShannon's mind reading paperERNIE (Electronic Random Number Indicator Equipment)P2059R0 - "Make Pseudo-random Numbers Portable" (defunct)"Using, Generating and Testing with Pseudo-Random Numbers" - Frances' ACCU 2023 talk"Program your way out of a paper bag" series: "How to program your way out of a paper bag" (slides)"How to Evolve Your Way Out of a Paper Bag" (video)"Diffuse your way out of a paper bag" (video)"How to Evolve Your Way Out of a Paper Bag" (video)"Crowd Your Way Out of a Paper Bag" (video)