Show Notes
Joanna Stern was the Wall Street Journal technology journalist for 12 years. She’s an Emmy award winner for her documentary E-Ternal, and recently started her own company New Things, with added advice from ChatGPT! Over the years at WSJ, I relied on Joanna’s reviews of technology for many purchases (and things I avoided) reflecting her keen and brutal assessments. I also had fun working with her on some of her video assessments of health technologies. Her book I AM NOT A ROBOT is both hilarious and highly informative. It is a terrific primer for those who are not fully grounded in AI getting into the history of AI and right up to date with generative AI’s progress. To get a sense for why AI thought she was the next Tina Fey, check out the back cover! No surprise she got me laughing hard throughout the conversation, no less while reading the book.
Here is a short YouTube video she posted on her All In AI year of 2025, referred to during the podcast. Much of her testing of >100 AI products related to medicine and health care, which is what we especially got into during our conversation. She has 3 major rules in her assessment of AI: (1) Ruthless testing; (2) Benchmark vs human; and (3) Costs, which include “compute cost” that we discussed. Here are some of the things we covered: * AI of her blood work * AI of mammogram and breast ultrasound, and overall experience as a person with increased risk of breast cancer * AI at the dentist (and ”Dentist Deep Clean”) * Assessment of Dr. GPT * Bill Gates on health AI * Her AI Trainer (Chris) * Waymo vs Uber * Her AI Therapist (Ash) * Nothing Bot Sex (her 2 digital lovers) * Impact on her children (including 6 F*****g Hamsters, the robodog Sirius)
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More from Ground Truths
Michael Lewis is one of the best storytellers of our era. You know and likely have read his books Moneyball, The Big Short, The Blind Side, Flash Boys, Liar’s Poker, and The Undoing Project, to name a few. He has long been one of my favorite authors. This was the first interview that Michael did on his new book, BLOCKERS, published on October 6th, streamed live on Substack Sept 29th. It’s his 21st book and 4 of the last 5 have been about the US government: The Fifth Risk (2019), Premonition (2021), and Who Is Government? (2025). His ability to talk with the silent civil servant heroes of multiple government agencies (the Blockers), members of the DOGE destruction team, and much more from the current US government administration.
In recent weeks the results (announced by press release) of 2 major placebo-controlled randomized trials—ZEUS, testing an interleukin-6 (IL-6) blocker vs inflammation, and HORIZON, testing a drug to lower Lp(a), indicated failure to achieve their primary endpoint. Are we maxxed out for new treatments vs heart disease, as this article in the WSJ (←gift link) today asserts? “Cardiovascular drug development is starting to look a bit like the modern oil industry. The easy wells have been tapped. What’s left is in deep water: expensive, technically perilous and less likely to strike oil.”
This podcast is meant to complement my recent Ground Truths post Why Our Memory Slips After Age 50 which has all the relevant links to the 2 papers, key graphics, and other related publications. If you haven’t had a chance to read that, it would be helpful to spend a few minutes to do so before listening to this podcast. Links to the 2 papers for those who don’t want to look back Zemke et al in Science https://www.science.org/doi/10.1126/science.adt8307 Belk et al in Nature https://www.nature.com/articles/s41586-026-10939-0
Deb Cohen is an award winning investigative journalist and correspondent who trained as a physician and has worked with the BBC and BMJ. She just published BAD INFLUENCE, a book which takes us deep into the wellness-industrial complex—the confluence of the supplement, testing, tech, and pharma industries, and how they sell health anxiety to healthy people.
Sarah Urbut is a physician-scientist at Harvard Medical School and the Massachusetts General Research Institute. She and her colleagues published a landmark paper in Nature on patient health journeys for 3 different cohorts—the Mass General Brigham patients, the UK Biobank, and the All of Us research program—with a cumulative 683,000 individuals, 348 diseases, and up to 52 years of follow-up. Integrating electronic medical records and polygenic risk scores (N=36). An AI model was developed and validated called ALADYNOULLI, with each individual represented latent disease signatures (N=21), mathematically and biologically driven. An example of a patient’s dynamic life journey (health arc) is provided in the Figure below (adapted from the paper, made with NotebookLM). The longitudinal story for each individual is key here. Using a Gaussian process, the risk continually shifts like a GPS navigation when you make a wrong turn and you are re-routed. Considerable effort was dedicated to addressing selection bias with inverse probability weighting.