Look, we're not anti-governance. The rapid deployment of AI across industries from healthcare to hiring genuinely raises questions about accountability, bias, and civil liberties. Somebody should be thinking carefully about this stuff. And if there's one place with the intellectual horsepower to do it, it's Berkeley.

But here's where our spider senses start tingling: the track record of "bridging research and policy" in the Bay Area has a funny way of producing maximally bureaucratic outcomes that protect incumbents, stifle innovation, and cost taxpayers a fortune — all while claiming to serve the public interest. See: housing policy, transit policy, energy policy, basically every policy.

The real risk isn't that AI goes unregulated. It's that regulation gets captured by the very companies wealthy enough to comply with onerous rules, effectively pulling up the ladder behind them. When Google and OpenAI show up to governance workshops calling for "responsible regulation," what they often mean is "regulation that we can afford and our competitors can't." That's not safety — that's a moat.

What we'd actually love to see from a workshop like this: serious discussion about keeping AI markets competitive, protecting individual privacy without creating compliance nightmares that only Big Tech can navigate, and maintaining transparency in how government itself uses AI tools. You know, the liberty-oriented stuff.

The best AI governance framework is one that's light enough to let innovation flourish, sharp enough to punish actual harm, and simple enough that a city council member can understand it without a $500-an-hour consultant. We won't hold our breath, but we'll keep watching.