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CppCast
Phil Nash & Timur DoumlerNews
Phil Nash & Timur DoumlerNews

Episode Summary

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 announced C++ 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 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)
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