For one day in June, the best AI in the world had an off switch, and none of its customers held it. American companies didn't lose a product that week — they learned they'd been renting permission all along. The frontier is worth buying that way. The other ninety percent of the work isn't.

Open models now match proprietary performance at a sixth of the cost. This is the report on what that vibrant ecosystem actually looks like — who's building, who's running it, who it's reaching. And the surprise inside it: the model isn't where the story is anymore. The infrastructure around it is.

We built an elaborate apparatus for turning AI models on safely - reviews, red teams, evals, benchmarks. To turn one off took a letter that landed at 5:21pm on a Friday. The model was never the thing that needed governing. The switch was.

The détente is over. Anyone can write software now—and soon, anyone can break it. What happens when the people building the internet are the least equipped to defend it?

My Tesla crashed with my kids in the back seat. Here's what I've been thinking about since.

One more from the India AI Summit - on why sovereignty doesn't mean solitude, and why the countries that wait to invest in open AI are the ones that won't get to choose later.

On my way to the India AI Summit with a simple argument: when open-source AI matches proprietary performance at a sixth of the cost, sovereignty stops being ideological and starts being practical.

Context is all you need - and in the age of AI, leverage belongs to whoever holds your history. A sketch toward a different architecture, and an invitation to start a conversation.

Why the next fight for the open web is about AI agents—and how making open systems easier than closed ones is the only way users keep control over how intelligence works for them.

A simple, screen-free podcast player for kids—totally hackable, open-source, and designed to nurture imagination, not attention loops.

Humanity thrives on friction—so why are the tools of the future built to make everything seem so easy?

On finding my way back to the roots of technology as a public good—and why Mozilla is where that work continues.

Five lessons for the next generation of builders—on choosing augmentation, protecting truth, and building as citizens.

Why America’s AI future depends on decentralization, not corporate consolidation.

Why preserving data is an act of democracy—and why resilience requires redundancy across systems, institutions, and time.

On raising the first AI-native generation, and the human skills—resilience, questioning, empathy—that will matter most.

A shared exploration of the human capacities that technology can’t replicate—and how together, we can keep them alive.

What happens when the first AI-native generation takes the lead—and starts building the world they want to live in.

A call to humanize government technology—proving that efficiency and empathy can, and must, coexist.

A look at how self-driving cars are turning our cities into networks of private surveillance—and why that should concern us all.