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++.

Show Notes News * CppCon programme announced * C++ on Sea videos * "Inside STL" - The Old New Things * 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 book * Overload issues (submit articles on the main ACCU site) * Frances' paper bag escapology certificate * Shannon's mind reading paper * ERNIE (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)