Navigating Public Policy, Technology, Health, Data, and Innovation for a Fairer Future
I wanted to buy American artificial intelligence. That sentence should not need explaining. My company builds and tests AI systems for a living. A new frontier model comes out, and I want to run it through the same evaluation harness I use for everything else. I don’t need unlimited access. I don’t need another giant Read More “China Is Selling AI the Way Businesses Want to Buy It”
Uber announced this week that it is cutting roughly 3,300 jobs, about 10 percent of its global workforce, while trimming the ranks of managers by 20 percent. The company framed the move as an effort to get “simpler and faster” and redirect resources toward ride-sharing, delivery, and its autonomous-vehicle ambitions. Something was conspicuously missing from Read More ““Simpler and Faster” May Be the New Term for AI Layoffs”
A small gathering of aspiring developers in South Bend, Indiana, does not look much like the opening scene of an American success story. There is no ceremonial shovel, architectural rendering or oversized check. The conversation concerns renovation costs, financing, contractors and the stubborn arithmetic of bringing a neglected property back into use. Experienced builders explain Read More “Capacity Is What Remains”
There are moments in business when the price tells you that you are looking at the wrong thing. NVIDIA is reported to have agreed to pay $12.9 billion for Hugging Face, a company whose annual revenue has been put at roughly $150 million. Reuters carried the story on August 27, relaying reporting from The Information, Read More “The Empire Strikes Back”
A woman walks into a public library because she needs to print a form. That is the problem she presents. The problem she has is larger. She needs the form for unemployment benefits, which she needs because the car stopped running, which cost her the shifts she missed, which is why the electric bill went Read More “The People Close Enough to Notice”
Hank Green took some heat recently for using artificial intelligence in his work. Vanity Fair framed the controversy around the anger of some fans who believed his use of AI crossed a line between technological assistance and creative authenticity. One Hank would like to stand up for another. The criticism raises a larger question that Read More “Hank Green, AI, and the Economics of Authenticity”
Over the past several years I put together a set of lecture notes for teaching bioinformatics, pairing classic Python/BioPython methods with AI-assisted workflows so students could see both approaches side by side. I’ve cleaned them up and organized them into a free 14-chapter book: Bioinformatics with AI: A Modern Introduction. It moves from the basics Read More “Bioinformatics with AI: A Modern Introduction”
The question usually arrives near the end of the interview, after the pleasantries are spent and the résumé has been reviewed twice. Have you ever been convicted of a crime? The applicant already knows the choreography. Sometimes the interviewer glances back down at the page, suddenly hunting for a reason to stop. Sometimes the tone Read More “Second-Chance Saints”
For years, teaching bioinformatics meant building the same lecture over and over: here is the biological concept, here is the Python script that operationalizes it, here is what a student needs to understand before either one makes sense. Over time those notes accumulated into something larger than any single course, a full walk through computational Read More “Notes From the Classroom, Now Free to Everyone”
Good stories have a beginning, a middle, and an end. Sports stories are supposed to simplify that further still, handing us a winner and a loser, a hero and a villain. Somebody raises the trophy. Somebody drops the ball. Everybody knows whom to cheer and whom to blame. This story refuses to cooperate. Late on Read More “The Team That Tried Too Hard to Win”