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Past issues

Newest first

  • What I learned from companies training their own models

    The Model Factory Matters More Than the Model A couple of months ago, I wrote about the growing post-training stack that lets teams turn general-purpose models into something better suited to their own work. I recently spoke with Joel Hron, CTO of Thomson Reuters, about a more ambitious version of the same idea. His team starts with a strong open-weight…

  • The local AI question I had backwards

    Local AI Is a Routing Problem, Not a Privacy Feature I’ve had a longstanding interest in local AI for a simple reason. I would rather not send proprietary code, unpublished plans, or knowledge about how a business operates to an outside model provider when I have a viable alternative. I want more control over where that information is processed. A…

  • I keep thinking about these 17,600 attempts

    Eight Security Assumptions AI Agents Quietly Break If you check Ethics.Dev regularly, you may have noticed how often AI agents and cybersecurity have been colliding lately. Some of the stories sound straight out of movies: agents escaping test environments, communicating through channels nobody intended, finding vulnerabilities, stealing credentials, and reaching production systems. The part I think deserves more attention is…

  • Something changed in how AI gets fed

    The AI Data Problem Moved Downstream Last year I wrote that robotics had a data problem language models were lucky enough to avoid. Text, images, and code had accumulated for decades before anyone decided to train models on them. Robots had no comparable internet of physical experience. That distinction is starting to look less clean. Recent systems have trained on…