If all your code was deleted tomorrow, would you be okay? The incantation was always the valuable part. We just couldn't see it when casting the spell took years of labor.

We build intelligences capable of solving problems that exceed our cognitive reach, and we ask them to plan our vacations.

While you're in your third meeting debating whether to prioritize the feature, a team of two just shipped it. They're moving at conversation speed. You're moving at ceremony speed.

Three signals point to a future where health becomes continuous: ChatGPT Health as a daily interface, SleepFM predicting disease from sleep patterns, and AI systems taking bounded clinical actions. The loop is closing.

When AI gains access to both people affordances and machine affordances, it doesn't just add capabilities—it multiplies them. This is the future of knowledge work.

Here's what's actually shocking about GLP-1s: they work by making the entire behavioral apparatus of weight loss obsolete. AI does the exact same violence to our model of intelligence.

The limiting factor shifts from cognition to governance and economics. The model is no longer the bottleneck. The system is.

Why the future of human-machine interface is already wired to our biology. Yet, we keep installing it backwards

People cannot see their own transformation.

Every week brings a new model release. Gemini 3 dropped in mid-November, GPT-5.1 days earlier. Opus 4.5 arrived late November. DeepSeek and Grok and Mistral in the mix. The discourse is endless: which

Most advice about work describes how work should behave, not how it does.

Experienced developers are getting slower with AI tools, not faster. Nineteen percent slower, according to . The juniors are speeding up. The experts are drowning.

I stood in front of Man Ray's rayographs at the MoMA this fall, studying the ghostly white silhouettes floating against dark backgrounds. A glass funnel, a coil of wire, objects I couldn't quite ident

TradTech opens the fridge and asks what can we make with what we have?

Every company is building an AI strategy by asking, "What can we add?"

Pharma marketing has spent two decades optimizing the wrong bottleneck.

ChatGPT hit one billion users in three years. The internet took thirty-six.

Your context engineering isn't an implementation detail. It's the whole product. Most AI products feel like wrappers because their prompts, retrieval, and evals deliver basic capability. The ones that