Amazon launched an AI health agent inside the Amazon Shopping app — the same app where you order paper towels. It books appointments, manages prescriptions, explains lab results, and connects you to real doctors. Prime members get five free virtual care visits covering 30+ conditions.

This isn't a chatbot experiment. Amazon built this on Bedrock using a multi-agent architecture with auditor and sentinel agents that escalate to human providers in real time. Combined with One Medical's 200+ clinics, Amazon Pharmacy, specialty referral partnerships with Rush and Cleveland Clinic, and a billing relationship with 200 million households — Amazon now owns the full healthcare stack.

In this episode, I break down how Amazon assembled this over nearly a decade (PillPack in 2018, One Medical for $3.9B in 2023), why the pricing strategy matters more than the AI, and the three things every health system executive should be watching over the next 12 months: the employer channel play, the data advantage, and the behavioral shift that happens when asking a healthcare question becomes as casual as checking the weather.

Watch the full video: https://youtu.be/OhHrxHEnSA0?si=B6MeSTiQTGId8388

Full sources and deep dive: https://open.substack.com/pub/danmccoymd/p/amazon-just-put-a-doctor-in-your

Anthropic just announced Claude Mythos Preview — an AI model so capable at finding software vulnerabilities that they won't release it publicly.

Instead, they launched Project Glasswing with Apple, Google, Microsoft, and others, committing $100M to use the model defensively. In weeks, Mythos found thousands of zero-day vulnerabilities across every major operating system and browser — including one in OpenBSD hiding for 27 years.

But the cybersecurity headlines aren't the whole story. The same vulnerability chaining capability that links multiple software flaws into sophisticated exploits maps directly to how polygenic disease works — cascading gene interactions across multiple variants that we've never been able to trace. With models like Arc Institute's Evo 2 and DeepMind's AlphaGenome already decoding the genome, Mythos-class reasoning could change everything about how we understand and treat disease.

If we can hack code to break it, we can hack code to fix it — including the code that makes us sick.

Sources and full write-up: https://open.substack.com/pub/danmccoymd/p/hacking-dna-the-anthropic-story-nobodys

Meta acquired Moltbook. OpenAI put ads in ChatGPT. Microsoft found 31 companies actively poisoning what AI assistants recommend. Everyone's calling it AI-native marketing — but what they're really describing is an influence mechanism with no disclosure, no regulation, and direct access to how people make decisions.

In this episode, I break down Microsoft's AI Recommendation Poisoning research, why OpenAI's health advertising exclusions don't actually solve the problem, the insurance company AI lawsuits you should know about (UnitedHealth's nH Predict, Cigna's PXDX), and the 70-year regulatory gap between subliminal advertising bans and prompt injection. When this reaches healthcare — and it will — the implications for patients, providers, and benefits managers get genuinely concerning.

Research sources and extended analysis: https://open.substack.com/pub/danmccoymd/p/prompt-injection-is-subliminal-advertising

Watch the video version: https://youtu.be/4vECwmEUHEs