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.
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.
— Watch a human cope about bots taking his job in real time. Is he cooked? Find out tonight in Season of Systems: Week 11! (6 min read)
— Do humans have a role in software development anymore? Absolutely — but we need to rethink what it means to program. An modern review of Peter Naur's 1985 essay "Programming as Theory Building" (33 min read)
— 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)
— 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)
— 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)
— 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. (1 min read)
— The only market crashing is the market for sanitized language. Stay human. Embrace typos. (7 min read)