Why Aggregators Ate the Internet

🚧 The Bug Beneath the Browser
Reading Alex Komoroske’s sharp post on the same-origin paradigm had me nodding—until the pivot to AMD’s secure enclaves. A solid feature, sure. But a narrow fix to a systemic problem.

The flaw isn’t in the chip. It’s in the model.
What’s broken is how we authorize, move, and trust data online.

Here’s why hardware-bound solutions won’t solve the deeper architecture problem:

🌱 Too Local: CPU fixes assume data lives in one secure zone. But like people, data needs to move, combine, and adapt.
🌾 Weeds in the Garden: Healthy systems allow messy overlap. Ecosystem diversity—not lockdown—is what drives innovation.
🌊 The River Always Wins: A rock can block flow. But real resilience comes from trees, soil, and balance. Nature distributes control—and software should too.

Komoroske nails the true villain: the same-origin paradigm. It traps your data in silos, makes permission binary, and rewards companies that aggregate context at scale. The result? Big gets bigger.

🧩 What we need isn’t tighter perimeters—it’s a system where trust, access, and privacy aren’t locked in a zero-sum game.

That’s why I’m following researchers like Geoffrey Litt, who’s pushing decomposable documents and malleable software. Instead of rigid apps, we get fluid tools that operate on user-owned, user-governed data. You bring the tool to the context, not the other way around.

🔑 The future of AI isn’t in the model or the chip. It’s in the architecture of agency.