Quantum computing is one of the most hyped buzzwords in AI, but will it really change how we train or run models? At the AI Rabbit Hole Conference, Stanford theoretical physicist Adam Brown joins DVC’s Nick Davidov for a reality-check conversation on quantum hype, LLM abstraction, scientific intuition, and the future of discovery. Topics covered include: • Why quantum computing won’t supercharge LLMs • What quantum is actually good for (hint: not AI) • How close we are to AGI that can rediscover general relativity • What Einstein and Feynman could’ve done with GPT-4 • Why academia needs to publish more “unfinished thoughts” • What theoretical physics can learn from AI’s pace