I write about AI and Geopolitics
Humans manage entities that are more powerful than us all the time – horses, oxen, elephants, rivers, nuclear reactions. We do it by being smarter. We design the harness, the bridle, the containment vessel. Managing something that is both more powerful and smarter inverts every trick we’ve ever used. The harness only works if you’re the one who understands … Read more
Mechanistic interpretability is one of the most important bets in AI right now. It might also be one of the most honest. By mechanistic interpretability, or MI, I mean the effort to reverse‑engineer what an AI model’s doing inside. I don’t mean just watching what it says. I mean trying to understand the internal computations … Read more
Here’s the big problem almost no one wants to talk about. When it comes to AI, we don’t really know what we’re building. Not the engineers. Not the CEOs. Not the governments funding it. We’re feeding a system on the full disorder of human civilization and hoping scale turns it into wisdom. That’s not engineering. … Read more
A Better Path to AGI Before It’s Too Late Here’s the big problem no one wants to talk about: When it comes to AI, no one knows exactly what we’re building. Not the engineers. Not the CEOs. Not the governments funding it. We are feeding a system on the full disorder of human civilization and … Read more
I wrote this essay because I’m worried about a quiet shift in the AI landscape that most people haven’t seen yet. I call it the Gray-Alignment threat. When people talk about AI risk, they usually focus on the big, visible things: training giant models, building massive data centers, and restricting access to advanced chips. What … Read more