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)