Navigating Public Policy, Technology, Health, Data, and Innovation for a Fairer Future
Most of what matters in technology arrives quietly. Not with a keynote. Not with a countdown clock and a curtain drop. Just a file, a version number, and a few paragraphs of technical notes that almost no one reads. That is what happened on June 3, 2026, when Google DeepMind released a model called Gemma Read More “The Model T moment for AI”
Andrew Morton may have written one of the most important leadership memos of the year, and almost no one outside the Linux kernel community will ever read it. That is partly the point. The memo was not built to be read by the rest of us. It went to a mailing list, it concerned the Read More “Ownership, the Sixth Moat: The People Who Keep the Promise”
Thank you, Andrew Morton. Andrew Morton may have written one of the most important leadership memos of the year, and most people outside the Linux kernel community will never read it. That is understandable. The announcement was posted to a Linux mailing list. The subject was the future of memory-management development. The prose was practical, Read More “Great Systems Outlive Their Heroes”
A society that cannot think systemically will use intelligent machines to automate its confusion. That sentence may sound severe. It likely is not severe enough. The great danger of artificial intelligence is not simply that the machines will become too powerful. The more immediate danger is that institutions will become more powerful without becoming wiser. Read More “Systems Thinking, the Fifth Moat: The Human Skill of Seeing the Whole”
Consider a man like Marcus, who teaches automotive technology at a regional career center in central Ohio. He has been teaching for twenty-three years, and in that time the cars have changed three times underneath him. He started with carburetors and distributor caps, the kind of engines a student could understand by looking at them. Read More “Adaptation, the Fourth Moat: Learning Without Losing Ourselves”
Three years ago, I wrote an article called “AI and the Adjuncts: The Converging Trends Reshaping Higher Education.” At the time, the argument felt speculative, though not far-fetched. AI was beginning to move into teaching, tutoring, grading, writing support, and academic administration. Adjunct labor had already become one of the hidden foundations of American higher Read More “The Graduation Promise and the Adjunct Reality”
Earl walks the apron at 5:47 in the morning, before most of the airport is awake. He has worked for the same regional carrier for thirty-four years, and he is one of the senior aircraft maintenance technicians at a hangar that services a fleet of regional jets nobody outside aviation thinks about. He carries a Read More “Craft, the Third Moat: Done Is Easy, Good Is the Moat”
The first mistake is looking for disappearing jobs. The second mistake is looking only at Silicon Valley. The third mistake is assuming that the country with the best artificial intelligence model automatically wins the century. Each of these mistakes is comfortable, because each of them lets us keep the maps we already own. Taken together, Read More “Welcome to the Iceberg Economy”
The news was heavy again this morning. It usually is. Traffic reports, political arguments, prices rising, systems failing, everyone seemingly convinced that the person on the other side of the argument is either foolish or dangerous. There is a weight to the information environment we have built for ourselves, a low-grade exhaustion that accumulates before Read More “TTST: Thank Three Someones Today”
There is a man named Raymond who does tile and fixture work out of a white van with his name and number on the door. He has been at it for twenty-two years. He answers his own phone. He is not the cheapest contractor in the county and he is not the most expensive, and Read More “Trust, the Second Moat: When Information Gets Cheap, Trust Gets Expensive”