ChatGPT is made from 100 million of these [The Perceptron]

This monologue podcast delves into the history and functionality of the Perceptron, a foundational element in AI, explaining its pattern recognition capabilities and the Perceptron Learning Rule. It explores the limitations of single-layer Perceptrons, such as the inability to solve non-linearly separable problems like exclusive-OR, and transitions into the evolution of neural networks, highlighting the contributions of Widrow and Hoff with the LMS algorithm. The discussion culminates in explaining how overcoming the limitations of the binary step activation function paved the way for modern backpropagation, which is used in large language models like GPT-3 and GPT-4, connecting the Perceptron to the cutting edge of AI. The podcast also includes a promotion for AG1, a sponsor, and the speaker's book, "Imaginary Numbers."