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Our quest for artificial intelligence has become a high-stakes standardized test—and we might be studying for the wrong exam.

"What if?" my wife whispered on our balcony, the sounds of our sleeping children drifting through the open window. "What if we're really having a third?"

"The future belongs to those who consume the most tokens." This line, casually dropped by a friend, has been rattling around in my head for weeks. It's not just a clever play on Silicon Valley jargon—it's the most concise expression I've found of the economic transformation happening around us. He wasn't talking about cryptocurrencies, but computational inference—the resources required to run AI models at scale.

This week my feed is flooded with Studio Ghibli images from ChatGPT's 4o update. By the middle of next week, I suspect it will be largely forgotten, replaced by something else equally ephemeral. When I mention it to friends or family outside of my filter bubble, they'll likely have no idea what I'm talking about.

Had dinner with a friend who's CFO at a large CPG company. Told him about "vibe coding" - using AI tools like Cursor to build products with minimal coding experience. He got it immediately.

I signed up for Cursor yesterday. It's impressive how easy it is to deploy code with AI tools now. A decade ago, the limiting factor in building software was often writing the code itself. Now it's something else entirely.

I stumbled across a "chaos coding" class today during lunch. Not just any class—one taught by my good friend Aaron Wright, who I recently spent time with at ETH Denver.