reflection

Two ideas that have been sitting with me: why your emotional reactions are usually just a story you made up, and why waiting for a "big bang" breakthrough is a trap. Your outcomes are governed by quiet, invisible micro-shifts, not sudden moments of passion.

A short section of 'The Mountain Is You' got me thinking about how often we let the fear of failure stop us from starting. But not starting isn't standing still — the world keeps moving, with or without you.

I picked up 'The Mountain Is You' expecting a casual read. Instead, it's had me interrogating my own patterns — why I don't follow through, why I wait for perfect, and why I sit in my own feelings without actually understanding them. Three reflections that have been sitting with me.

For years, I wrote code by telling the computer exactly what to do. Shifting to machine learning means letting the data write the rules. This post explores what 'learning' actually means in code, using Tom Mitchell's equation and the supervision taxonomy.

I've been using AI without truly understanding it — calling APIs, fine-tuning models, shipping features powered by things I couldn't fully explain. That gap has started to bother me. This is the first post in Learning Machines, a series where I rebuild my ML and AI foundations from scratch and share the process as I go.