Be Curious, Not Judgmental
Ruminations and musings about healthcare AI, technology, and strategy
Tag: LLMs
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AI Jevons Paradox: Why AI May Create More Work, Not Less
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The prevailing narrative about AI and white-collar work is a displacement story: AI learns a cognitive task, the humans who perform that task lose their jobs, and the only question is how fast it happens. Software engineers are the canary. Lawyers and accountants are next. Eventually, the thinking goes, most knowledge work gets automated away. There’s a problem with this narrative. It mistakes the death of a role for the… Read more
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The Blinking Cursor Returns: Finding My Childhood in the AI Agent Era
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There’s a cursor blinking at me from my terminal. White text on black, minimal, waiting. It reminds me of sitting in front of my Commodore 64 decades ago—same patient expectation before the first keystroke. I’m 10 years old again. The weird part is: the command line is back—not because UX failed, but because intelligence makes friction survivable. The agent is the new GUI. Why AI Agents Bring Back the Command… Read more
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When You Upload Your Medical Records to AI, Who’s Actually Protecting Them?
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Forty million people ask ChatGPT health questions every day. This week, OpenAI and Anthropic made it official: connect your medical records, sync your Apple Health data, let the AI see your full health picture. The product pitches emphasize encryption, privacy (as I explored in health privacy in the AI era) controls, and promises not to train on your conversations. Here’s what they don’t mention: your conversations with ChatGPT or Claude… Read more
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Strategy in the Age of Infinite Slop
“AI is going to replace McKinsey.” It’s a popular dunk on AI Twitter. The logic is seductive: if a model can generate a Porter’s Five Forces diagram and a perfectly serviceable deck in seconds, why pay millions for a team of human analysts to take six weeks? I spent more than ten years at McKinsey working on the exact problems assumed to be next on the chopping block: the ultimate… Read more
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GPT-5 vs Grok4, No Health AI Champion Yet
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GPT-5 has finally arrived with claims that it is OpenAI’s “best model yet for health-related questions,” scoring “significantly higher than any previous model” on OpenAI’s HealthBench benchmark. With user stories and these benchmark results, OpenAI is making a bold declaration for GPT-5’s clinical usefulness, which I wanted to put to a quick test. I ran GPT-5 through the same five prompts I used in my earlier post to assess Grok4’s… Read more
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Health Privacy in the AI Era
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Sam Altman hardly ever breaks stride when he talks about ChatGPT, yet in a recent podcast he paused to deliver a blunt warning, which caused my ears to perk up. A therapist might promise that what you confess stays in the room, Sam said, but an AI chatbot cannot, at least not based on the current legal framework. With ~20% of Americans asking an AI chatbot about health monthly (and… Read more
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Don’t Believe the Hype — Medical Superintelligence Isn’t Here Yet
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The AGI hype is in full effect with new frontier model achievements every month and an arms-race for AI talent heating up. Last week, Elon claimed Grok 4 was “better than PhD level at everything,” with a record score on Humanity’s Last Exam and best ever on ARC-AGI-2. Google had its own announcement with MedGemma-27 B (multimodal) hitting 87.7 percent on MedQA; Microsoft had already pitched its Medical AI Diagnostic Orchestrator… Read more
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What I’ve Learned About LLMs in Healthcare (so far)
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It has been a breathless time in technology since the GPT-3 moment, and I’m not sure I have experienced greater discordance between the hype and reality than right now, at least as it relates to healthcare. To be sure, I have caught myself agape in awe at what LLMs seem capable of, but in the last year, it has become ever more clear to me what the limitations are today… Read more