WT: Moo And Get It Over With

The episode begins with Andrew describing a memory-methods thread from the previous week and how it led him to build a face-and-name practice app. He explains that he prototyped the tool in JavaScript and then used GPT-4 to convert and expand it into a polished iOS app, with generated faces, tutorial copy, App Store text, and a webpage all created or assisted by the model. The discussion then widens into a long debate about how well ChatGPT understands context, why GPT-4 feels stronger for coding, and how priming prompts can improve style imitation and task performance. The back half of the episode shifts into hypnosis, with the hosts comparing stage hypnosis, hypnotherapy, Mesmerism, suggestibility, placebo effects, accountability, crowd dynamics, and whether hypnosis is best understood as an altered state, performance, or agreement. Key topics Memory techniques and face-name recall: Andrew opens by talking about memory methods, memory palaces, and his difficulty remembering faces and names, which motivates the app he built. GPT-4-assisted app development: Andrew says he used GPT-4 to build a JavaScript prototype, convert it to SwiftUI, and generate supporting copy and pages for Memory Snap. AI-generated faces for practice: Andrew explains that he used DALL·E to create hundreds of faces, discarded poor images, and selected convincing ones for the app. ChatGPT as a coding assistant: The hosts discuss how ChatGPT/GPT-4 can explain code, suggest libraries like faker.js, and hel