Hosts Philip Maymin, Jie Tao, and Chris Huntley continue their conversation with Stella Maymin, a Harvard sophomore who has worked behind the scenes training models through Outlier. Stella walks through her experience grading outputs, correcting reasoning, and teaching systems to improve at math and image editing, sparking a broader discussion about why process matters more than product when it comes to building better technology.

The conversation turns to Richard Feynman's cargo cult science analogy, the death of benchmarks, and what it means to train a system to truly understand rather than just mimic. Stella also shares how she uses ChatGPT as a personalized study partner and a first reader for her fiction writing, and the group debates college policies around permitted use in the classroom. Throughout, a single thread connects it all: the path you take matters as much as where you end up.

Hosts Philip Maymin and Chris Huntley welcome special guest Stella Maymin, a sophomore at Harvard double majoring in economics and English. Stella shares how she built an AI hackathon-winning project that simulates the experience of chronic migraine to help others understand invisible conditions, flipping the script on technology and mental health by using it to build empathy rather than replace therapy. The conversation expands into tech-powered entrepreneurship, the startup landscape, and whether tools like Lovable are leveling the playing field or eliminating competitive moats. Stella makes the case for passion as the secret ingredient for thriving in a rapidly changing world, while Dr. Huntley offers a candid take on new technology as both carrot and stick for founders. Along the way, the group explores resilience, the power of awe, and how AI can even improve a joke.

Jay Heinrichs returns for Part 2 to explore AI-to-AI persuasion, Werewolf game experiments where AI deceives AI, what cats teach us about alien intelligence, and whether machines can have souls. A conversation that goes from Aristotle to shrimp, and everywhere in between. In this second half of our conversation with bestselling author and rhetoric expert Jay Heinrichs, the discussion goes deeper, and stranger, than anyone expected. The group tackles AI-to-AI persuasion, exploring how disagreement is the prerequisite for rhetoric and what happens when you prompt two AIs to argue. Jie Tao shares early findings from his Werewolf game experiments, where AI agents play the social deduction game Mafia against each other, and the werewolves win 79% of the time by successfully deceiving the villagers. The conversation turns to whether AI can hold beliefs, have opinions, or feel guilt, and whether we're forcing human concepts onto a fundamentally different form of intelligence. Heinrichs draws a brilliant parallel to cats, individualistic predators whose intelligence we constantly misread, and argues that co-evolution, not control, may be the right framework for living alongside AI. The episode builds to a provocative conclusion: can AI have a soul? Heinrichs connects Aristotle's definition of the soul as a "higher sense of self" to the alignment problem, suggesting that guilt, the cognitive dissonance between behavior and values, might be the missing ingredient. From shrimp communicating in invisible colors to the ethics of digital slavery to the universal values of religion, this is a conversation that will stay with you.