Archive

Machines don't usually notice they're being tested. What happens once they start modeling the box itself—and is an industry investigating itself even the right body to watch?

The strangest thing about the current race for AI supremacy is that it's more and more running backwards—after Fermat, now Navier-Stokes.

The Metaverse didn't fail because of the headset. It may have built the right kind of world for the wrong kind of inhabitant.

Frontier models can disprove a decades-old mathematical conjecture. The same models misread an analog clock half the time. Stanford calls this the jagged frontier. I think 'topography' better captures what we're actually discovering.

The harness is the charging network. Without it, agent autonomy isn't viable—no matter how powerful the model behind it.

A team built like software, for years. But the more our teams embraced agentic AI, the more it felt like the wrong analogy—they don't feel like software anymore. They feel like an agent.

The real contest isn't to control the model—it's to command the runtime that executes it. Five players, five very different bets on where the agent should actually live.

What happens when open source is used more than ever, yet visited less than ever? AI didn't break the license—it broke the loop.

Artificial does not mean magical—on the contrary, it means made by our hands, crafted with art, as its etymology suggests. A year of exploring generative AI honored a certain craftsmanship more than it threatened it.