Episode 70: Sparks of Artificial General Intelligence?

This podcast explores the relationship between ChatGPT and artificial general intelligence. It reviews the famous paper on early experiments with GPT-4 and discusses Melanie Mitchell's criticisms. The podcast delves into the origins and benefits of recurrent neural networks, explores the concept of universal explainership, and introduces transformer networks. It highlights the impressive capabilities of chat GPT and its ability to learn from just a few examples. The podcast also explores the various capabilities of chat GPT, including analyzing absurdity, generating creative content, and solving mathematical problems. It discusses the implications of chat GPT for general intelligence and delves into the vague nature of language and AI concepts. The podcast also discusses the scaling hypothesis and its application to human intelligence, as well as the historical context of artificial general intelligence.