Brian and Andrew talk about… HOLY MOLY JUSTIN IS BACK!

The episode opens with a discussion of Google's Gemini Ultra launch and the rebranding of Bard to Gemini. The hosts compare Gemini with ChatGPT on model quality, pricing, integrations, and usefulness for coding and summarization, while also talking about how AI tools are already woven into their workflows for transcripts, show notes, and quick summaries. Brian also describes using AI for a real-world well-and-solar calculation experiment, using photos and measurements to estimate energy use, water flow, and costs. Later, the conversation turns to the joke AI model Goody2, which is framed as an exaggerated parody of overcautious safety behavior because it refuses nearly every prompt. The back half of the episode focuses on Sam Altman and the scale of future AI compute demand, including a reported $7 trillion chip effort, followed by a live discussion of Andrew's Apple Vision Pro demo, its comfort and display tradeoffs, security concerns about deepfakes, the promise of lighter AR glasses, and a round of media picks including The Greatest Night in Pop and In Deep Geek. Key topics Gemini vs. ChatGPT feature comparison: The hosts compare Google's Gemini Ultra with ChatGPT in terms of model quality, coding utility, pricing, app ecosystem, and integrations like Gmail, Docs, Sheets, and search defaults. AI as a practical assistant for technical and household tasks: Brian's well/solar example shows AI being used for real-world estimation, electricity cost calculations, and determining