Technology promised simplicity. It delivered complexity.

AI promised resolution. It is delivering acceleration.

The paradox is not a bug. It is the feature. And the question is what we choose to do about it.

This week I published a new essay, It is the argument I have been circling for a decade, finally in one place.

The short version: as AI’s capabilities grow, so do the risks. They are not separate variables. They climb the same curve. A more powerful model can cure more diseases and design more weapons. A smarter agent can book your travel and drain your bank account. Capability is leverage. Leverage is indifferent to ethics.

Every time we raise the ceiling of what AI can do, we raise the floor of what can go wrong.

We still have the how. We are drowning in the what. What we have neglected, almost completely, is the why.

AI without a good why is a cancer, not a cure.

🔗 Full essay: [ https://snglrty.co/4cMxxbg](https://snglrty.co/4cMxxbg)

What say you? Cure or poison?

AI promised to resolve complexity. It’s compounding it. It promised capability. It’s scaling risk. The AI paradox, and the questions no one asks.