“Blood, Breath, and Bits: How AI is learning the language of the body”This one is about the convergence I’m seeing up close:·       We’re now surrounded by continuous data about our bodies and lives – sleep, heart rhythms, breathing, glucose, movement, even how we speak and type.·       New foundation models based on sensor data (think “LLMs, but trained on EEG/ECG/respiration instead of text”) are starting to learn deep patterns in that stream.·       On top of that, we’re seeing the early prototypes of personal health agents that can analyze your data, reason with medical knowledge, and talk to you in normal language.I use sleep as the anchor, because that’s where some of the most interesting work is.But the point of the piece is broader:·       The same architecture applies to most chronic conditions – cardiometabolic disease, mental health, aging, and the messy combinations many of us actually live with.·       If we connect the dots well, we move from one-off snapshots in the clinic to a richer, continuous view of the whole person.If you’re curious about this broad theme, I’d love for you to read it and, if it resonates, please subscribe.