BroBots: Technology, Health & Being a Better Human

Heart disease kills one person every 40 seconds. That number hasn’t changed in 30 years. Dr. John Osborne, a preventive cardiologist with two doctorates and 29 years in practice, has spent his career on a single question: why do we screen for cancers that kill a few percent of us and do nothing for the disease that kills 40%? In this episode, Jeremy and Jason sit down with Dr. Osborne to get the real story on cardiac CT with AI — the imaging technology that can detect, quantify, and track arterial plaque at sub-millimeter resolution, years before symptoms appear. If you track your bloodwork, wear a fitness device, or consider yourself health-forward — this is the conversation that fills the gap nobody warned you about.Guest Link:https://clearcardio.com/Key Moments:00:00 — Dr. Osborne’s case for preventive cardiology: why heart disease is the most under-screened killer02:43 — How cardiac CT evolved from "iPhone 0.5" to the 2026-era AI-powered tool he uses today05:35 — Why he gave up stress tests and heart caths in 2005 and never looked back08:16 — What AI actually adds: seeing and quantifying plaque invisible to the human eye, down to 0.1 cubic millimeters10:13 — When insurance pays for cardiac CT — and when it doesn’t (the preventive gray zone)14:50 — The “cardiac colonoscopy” concept: the case for screening before symptoms, not after18:11 — Coronary artery calcium score: the accessible $100 starting point, and what it can and can’t tell you31:54 — Lifestyle essentials: the 50% of risk that’s modifiable regardless of genetics35:00 — Family history decoded: why your sibling’s heart history matters more than your parents’36:12 — Nicotine myth-busting: Dr. Osborne on the "health guru" nicotine fad and why he thinks it’s dangerous38:05 — Supplements under scrutiny: natokinase, fish oil, red yeast rice — what the actual RCT data says

The internet taught everyone to self-diagnose. AI made it faster, more persuasive, and significantly more dangerous. Dr. Ajit Barron-Dhillon — ER physician, military veteran, and someone who has watched patients demand MRIs for minor complaints because 'the internet said so' — joins Jason to talk about what AI-assisted health research actually does to people who think they're being smart about it. The conversation covers confirmation bias in clinical settings, supplement stacks optimized by ChatGPT, the cheerleader problem in medical AI, and why being above-average intelligent with these tools may make you more vulnerable, not less. If you use AI or Google to research your health, this conversation is specifically for you.Topics DiscussedWhy AI self-diagnosis is dangerous specifically for informed, health-conscious peopleWhat ER physicians are actually seeing when patients arrive with internet-sourced diagnosesHow confirmation bias turns AI research into an expensive form of being wrongWhen AI-assisted supplement optimization is useful — and when it's notWhy peer-reviewed research and AI training data are not the same thingWhat a responsible approach to AI health research actually looks likeCHAPTERS0:00 — Jeremy's Intro: Sick and Googling While Hosting an AI Health Episode1:17 — Kids Unplugging: Why In-Person Dating Is the New Counterculture2:40 — The No-Wi-Fi Coffee Shop and What the Internet Can't Tell You9:47 — I Let ChatGPT Optimize My Supplement Stack. Here's What Happened.11:59 — The Telemedicine Loophole: AI + Social Engineering for Prescriptions14:25 — Why Your Doctor Doesn't Know What You're Supplementing20:16 — NIH PubMed Is Being Scrubbed — and Why That Matters28:40 — She's Not Fighting Logic. She's Fighting Belief.32:58 — Star Trek, Dr. McCoy, and the Tricorder We're Almost Building37:11 — What a PubMed-Only AI Would Actually Look Like44:58 — The Tool Gets You 80% There. The Human Closes the Gap.

The US government asked Anthropic — the company behind Claude, one of the most capable AI coding systems on the market — to help build autonomous weapons and a mass surveillance infrastructure. Anthropic said no. That refusal, which happened the same week the US launched strikes on Iran, is either the most principled corporate decision in recent AI history or the beginning of a very ugly fight over who controls the most powerful tools ever built. Jeremy and Jason break down what the government actually asked for, why Anthropic refused, what Open AI and Elon Musk did instead, and what it means for all of us when the people writing the guardrails are the same people being pressured to remove them.Topics Discussed:Why autonomous AI weapons systems default to nuclear launch in virtually every war game simulationWhat Anthropic's Claude can actually do — and why the US government wants it so badlyHow AI turns existing NSA surveillance infrastructure into something exponentially more dangerousWhy Open AI and Elon Musk said yes to the same deal Anthropic refusedWhy the people most confident they're using AI as a tool might be the ones AI ends up usingChapters0:00 — When AI Meets War: What We're Actually Talking About1:15 — What Claude Can Really Do (And Why the Government Wants It)4:18 — The Autonomous Cyber Weapon Problem5:28 — Why Anthropic Said No to the Money6:26 — Mass Surveillance, AI, and What's Already Running9:45 — When War Games Go Nuclear: The 95% Problem13:01 — AGI Is Already Here. We Just Didn't Call It That.17:33 — Why Anthropic's Refusal Might Be Their Smartest Business Move22:06 — Who's Actually Using WhomMORE FROM BROBOTS:Get the Newsletter!