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"We could not get an answer for three years." Two educated professionals, gold-level health insurance, and the means to pay out of pocket. Then she sat down with her son's entire health file and put it into ChatGPT. Eleven interviews cut into one argument. A mother describes what three years of specialists could not do, and what happened six weeks after she asked a chatbot instead. Then the study behind it: the chatbot scored 90% on diagnostic case reports, doctors given the chatbot scored 76%, and doctors without it scored 74% — a two-point bump from a tool that outscores them outright. The study's own co-author says he was shocked, and names the reason: humans are resistant to things that disagree with them, and the models are sycophantic enough to fold when a doctor pushes back. Anthropic's Amanda Askell puts the same problem from the model's side — what should it do when someone asks it how to talk their doctor into a scan? Then why the doctor stays anyway. Marc Andreessen: there is no concept of an AI doctor, an AI can't write prescriptions, and every doctor is using one the minute you leave the room. An economist on why people pay more to keep a human in the loop even when the machine is better. And the oldest version of this argument, audited: Geoffrey Hinton told a Toronto audience in 2016 to stop training radiologists, and ten years later Jensen Huang reads out what actually happened to the number of radiologists — and what the warning cost. It ends with the doctor's own account of where this goes: twenty-five patients instead of twelve, and a job that is to click yes on the computer's output so that there is somebody to sue. The machine was right and the doctor didn't listen. Nobody in this film thinks that gets fixed by replacing the doctor. — CHAPTERS — 0:00 The specialist got it wrong 0:16 Andrew Huberman: it took a morning, zero cost 0:38 Courtney Hofmann: we could not get an answer for three years 1:33 The Harris brothers: they won't listen to the AI when it's right 1:56 Joe Rogan: 90, 76, 74 2:16 Adam Rodman: I was shocked at the results 2:31 Adam Rodman: humans overriding the autopilot make things worse 2:51 Amanda Askell: that's a good person to listen to 3:22 Marc Andreessen: the doctor's asking ChatGPT the minute you leave 3:53 Alex Imas: people pay more for the human to stay in the loop 4:25 Geoffrey Hinton: people should stop training radiologists now 4:51 Jensen Huang: the hospitals are making more money, you need more radiologists 5:22 Adam Rodman: my job will be to click yes so that I can be sued 5:52 Andrew Huberman: it's not to say don't go to a doctor — SOURCES (11) — Huberman Lab — Andrew Huberman with Fei-Fei Li, 2026 https://www.youtube.com/watch?v=N5AQFYtqx8Q NEJM AI Grand Rounds — Courtney Hofmann and Dr Holly Gilmer, Nov 2024 https://www.youtube.com/watch?v=2aAZIgVv_V8 The Joe Rogan Experience — Jeremie and Edouard Harris (Gladstone AI), Apr 2025 https://www.youtube.com/watch?v=Wwp1BFEw3cA Hard Fork — Adam Rodman (Beth Israel Deaconess; co-author, Goh et al., JAMA Network Open, 2024), Nov 2024 https://www.youtube.com/watch?v=pkeK4jbQnXI Good Medicine — Adam Rodman, Sep 2026 https://www.youtube.com/watch?v=I-drqINzVXo Lex Fridman Podcast #452 — Amanda Askell (Anthropic), Nov 2024 https://www.youtube.com/watch?v=ugvHCXCOmm4 The Joe Rogan Experience #2501 — Marc Andreessen (a16z), May 2026 https://www.youtube.com/watch?v=PHQvb10vKyk Dwarkesh Podcast — Alex Imas (Google DeepMind), Jun 2026 https://www.youtube.com/watch?v=Jj-kBHzUohs Creative Destruction Lab, Toronto — Geoffrey Hinton, Nov 2016 https://www.youtube.com/watch?v=2HMPRXstSvQ Lex Fridman Podcast #494 — Jensen Huang (NVIDIA), Mar 2026 https://www.youtube.com/watch?v=vif8NQcjVf0 Emory Department of Medicine Grand Rounds — Adam Rodman, Feb 2026 https://www.youtube.com/watch?v=VVDGyd5NGZ8 — BRIEF FILM AND TV CUTAWAYS — Mad Men (S01E01) · WarGames · Scrubs (S01E22) · Interstellar · Looney Tunes, "Fast and Furry-ous" (1949) · House (S01E01) · 2001: A Space Odyssey. Seconds each, for illustration. The screen recordings of ChatGPT are our own. The linking narration between speakers is an AI voice. Every argument in this film is made by a person on tape; the narrator only says who is speaking next. Clips shared for commentary and discussion. All credit to the original speakers and publishers — watch the full talks at the links above.

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