Transforming Policy with AI: The Supermind Comes Online
Policy decision-making stands at a hinge: whether AI-assisted coordination can align diverse interests across scales, or whether misalignment amplifies risk. This piece maps the promise of a ‘supermind’ that harmonizes tradeoffs in climate, economy, and security, while outlining the guardrails that must govern its deployment.
Designing Safeguards: New York’s AI Rules as a Model or a Nanny State Warning
New York’s approach to AI governance — urgent, granular, and visibly protective — is not just a city policy test. It’s a micro-laboratory for how the federation might balance urgency, risk, and growth in a field that evolves faster than statutes. This analysis maps the architecture: what the safeguards aim to shield, how they align with market incentives, and where they risk creating a blueprint for a patchwork federal future.
The Most Expensive Mistake in Human History
The tech industry's AGI obsession represents a catastrophic misallocation of resources, chasing artificial minds while wasting billions of real ones. An examination of why the most advanced intelligence we know isn't coming from data centers—it's already here.