This podcast episode dives into various topics related to machine learning, quantitative trading, and artificial intelligence. It explores the speaker's career path, the evolution of machine intelligence, the use of natural selection in identifying functional DNA, the challenges of overfitting and backtesting biases, Leo Breiman's paper on statistical prediction, the wide-ranging applications of AI and large language models, learning from the mistakes of others in finance, Voleon's approach to academic research, surprises encountered when applying machine learning to different asset classes, the behavior of ETFs, and the importance of risk management in investing.
