#ai

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    The engineering/ai tag contains notes and content related to AI systems — it’s distinctly more LLM- and tooling-oriented than, say, data, which focuses more on data science and engineering.

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    • Evolution and Revolution as Organizations Grow

      — Annotations for Greiner's 1972 paper "Evolution and Revolution as Organizations Grow", about the structural composition of organizations at different sizes and requirements.

    • LLMs; or, How to Run Your Own Hostage Negotiation

      — LLMs: Are we doomed to die, or born to garden? I'd like to make the case that AI is less like Terminator, and more like tomatoes. (8 min read)

    • AI Policy

      — I may not have any control about how AI affects me, but I can at least make a policy for how I use it. (3 min read)

    • Kickoff: Season of Systems

      — I'm learning to live with the systems that stole my beloved em-dash. A season dedicated to negotiating how to live with the agentic models that have turned my career upside-down. (8 min read)

    • LLMs: A Primer Presentation for Our Newest, Scariest Tool

      — An engineer-focused primer on the mechanisms that drive Large Language Models. Basics on how we got here, how they work, and how to use them without feeling an apocalyptic dread.

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