The session begins with a demonstration of ChatGPT's real-time voice mode, where the presenter interacts with ChatGPT and discusses its quick responses and enthusiastic tone. This leads to a discussion about using improv skills to keep pace with the AI's rapid interaction. The group also listens to a recording of two ChatGPT instances role-playing a debate about wool versus synthetic materials for sweaters, noting the AI's ability to interrupt and maintain distinct character voices. The session then shifts to Notebook LM, a Google product used to synthesize information from uploaded sources, demonstrated with research papers on haptics in VR. The presenter plays an AI-generated podcast summarizing these papers, highlighting its engaging nature and potential for quickly understanding complex material. The group discusses using Notebook LM to draft articles and organize information. Finally, the session touches on GPT-01, showcasing its coding capabilities by rewriting thesis code and solving a complex dictionary problem. The group also discusses GPT-01's limitations with tasks like playing Wordle, despite its strengths in reasoning and coding. The session concludes with a brief exploration of coding assistance tools like Co-pilot and Cursor, and a discussion of potentially using AI for blender coding. The group also listens to an AI-generated podcast summarizing Isaac Newton's "Principia Mathematica," praising its engaging delivery and accuracy.