The April issue of Personal Strategy Compass is out, and this one took longer to find its frame than most.
The image that finally unlocked it was Bruce Springsteen’s Tunnel of Love tour. Not the Born in the USA stadium spectacle that preceded it. The moment after, when he stripped the stage down to almost
When I started posting about AI this year, I did not realize that I was beginning my own version of David Bowie’s Low album.
I use that comparison carefully. Low matters here not as a code book or a track-by-track template, but as an allusion to emergence, fracture, atmosphere, and a break in method that
There are moments in a long AI session when the exchange stops feeling linear.
You are no longer simply asking a question and receiving an answer. You are no longer even refining a prompt in the ordinary sense. Something else begins to happen. Certain phrases return with altered weight. Certain errors recur, but not identically.
Coherence degrades while fluency improves.
The central problem is not that AI systems sometimes fail. Of course they fail. Nor is the main problem that they occasionally hallucinate, wander, or produce obvious nonsense. Those are manageable problems because they announce themselves early. The more interesting and professionally dangerous problem is that a system can become
At a certain point in a long AI session, I can feel the texture change.
The words are still smooth. The tone is still confident. But something underneath has started to slide and give way. The session is still moving forward, yet the logic is no longer holding together in the same way.
That happened
A lot of the most interesting work in legal tech seemed to be coming from people who were newer to the field, earlier in their careers, or just not as widely known yet as
I was in Silicon Valley recently for the initial meeting of the University of Michigan Law School AI Advisory Council. With a little free time around
“Polishing the Mirror While the House Burns: Why Your AI is a Liability”
You’ll be looking below at a self-autopsy performed by an AI on its own failure.
What follows is the raw, unwashed output of an LLM that found itself in an AI recursi
Why the OpenAI Hiring Surge Signals a Crisis of Professional Control
The management problem in AI is no longer whether the models are improving. They are. The management problem is whether the working surface is becoming more dependable or less.
That is why the recent OpenAI hiring story on its plan to nearly double its
Intelligence is Raw Material. Protocol is the Product.
We often confuse the power of a new tool with the effectiveness of its application.
The giants of the AI industry have provided us with a magnificent “Power Grid.” They have given us raw, unmanaged intelligence at a scale previously unimagined. But we must be clear-eyed about
