This is my working notebook for ideas that are too interesting to leave as scratch notes.

I write about AI, machine learning, computer science, statistics, mathematics, data systems, and the human side of reasoning with uncertain tools. The goal is to make each post useful in three ways:

  • explain the core idea without hiding behind jargon,
  • connect the idea to primary sources or durable references,
  • leave behind a small experiment, visualization, or implementation pattern that can be tested.

Some posts are polished essays; others are research trails that I expect to revise as the evidence gets better.