Quantified self in this channel ## What the term covers hereIn this channel's material, quantified self means the practice of tracking data about your own body and behavior — sleep, stress, biomarkers, moods, meeting performance — and putting that data to work. The framing that keeps recurring: AI makes this data finally useful. Data that used to sit around as nerd souvenirs can now be thrown into a model and interrogated — how does X affect Y, what do you notice?## How it's used in practice- Jonny Miller tracks the variables that shape his odds of reaching deep meditative states (jhanas) the next day: sleep over 8.5–9 hours, a low-stress prior day, meaningful practice access the prior week.- Dan uses quantified-self data to debrief meetings, and built an OCD-tracking app that logs daily Y-BOCS scores plus video through an emotion-embedding API, hoping to predict symptom flare-ups a day in advance.- In the Codex Vitae setup, quantified-self signals — biomarkers, prior experiment results, burnout warning signs — sit inside the context document an AI coach reads, so its advice reflects your actual patterns.- Reid Hoffman's conversations on preparing for AGI connect quantified-self tools to the broader question of data rights and what individuals control about their own data as AI spreads. Why it matters The channel's argument is that quantified self plus AI equals prediction: once a model holds your tracked variables, it can connect them — e.g., predicting which conditions lead to better next-day outcomes — and a centaur coaching setup (client, AI coach, human coach) can act on that picture weeklong, not just in a single session. - Quantified self = systematically tracking personal data (sleep, stress, biomarkers, mood) and using it.- AI turns that data from a souvenir into a tool: ask the model how does X affect Y?- Real uses in the material: predicting next-day jhana access, debriefing meetings, OCD flare-up prediction.- Tracked variables feed the Codex Vitae context document that makes an AI coach genuinely personal.