That’s why we gathered together with experts, advocates, and policymakers like @danielstone.bsky.social (Executive Director at the Center for the Future of Intelligence at Cambridge) for a symposium on the impact of AI in California and how we can build policy that shapes a better future for us all.

We know this is a risk in AI, but hearing something so natural, so human made me feel something I hadn’t before—actual guilt while making the argument. 😕

2/2

Like, the same holds true in economic debates—but at least there, with a few hundred years of data behind us, you can justify a little shorthand about being a neoliberal or a social democrat.

Totally agree—I find all this “which are you? A or B” chat just unproductively tribal and a one way trip to flattening what could be a richer conversation. Especially on a topic we’re all still learning about and that’s still evolving!

I really enjoyed this! Thanks for the contribution. I’ve been thinking a lot about how politicians might be able to game/optimise LLMs in their favour, or undermine them for their opponent—and think it’s a bit of an under discussed (and largely invisible) threat vector. Great mitigations.

I’m so jealous it hasn’t happened while I’ve been here!