Ken discusses the evolution of statistical models in AI and the rise of deep learning, highlighting the importance of understanding their limitations. He reflects on the initial skepticism towards statistical methods at MIT and the subsequent shift in perspective that led to their widespread acceptance. While acknowledging the excitement surrounding deep learning, he emphasizes the need for caution and awareness of what these technologies can and cannot achieve.
