a16zcrypto pfp
a16zcrypto
@a16zcrypto
What can you do when experts can’t be trusted? Draw lots. This episode examines the ancient practice of “sortition,” which delegates decision-making power to random members of the public. Sometimes called “government by lottery,” sortition was used in ancient Athenian democracy to elect public officials. Now it’s undergoing a revival as tech companies (like Meta) and AI startups (like OpenAI and Anthropic) use the method to shape their policies. Our guests today are Bailey Flanigan, a postdoctoral fellow at Harvard who is joining MIT as an assistant professor next year, and who has helped develop selection algorithms for sortition that are in use today; and @andyhall, Stanford University poli sci professor, advisor to Meta, and consultant to a16z crypto research. w/ @hackr 🎙️ https://www.youtube.com/watch?v=hjG2qhAAz0Y
2 replies
4 recasts
39 reactions

Thibauld pfp
Thibauld
@thibauld
Love that topic! In same vein, here's a paper I co-authored (but never published) a few years ago: "How To Hold A Vote When Candidates Are Too Many ? A Scalable And Random-Based Election" https://thibauld.com/paper.pdf
0 reply
0 recast
1 reaction

xh3b4sd ↑ pfp
xh3b4sd ↑
@xh3b4sd.eth
We do random truth sampling at Uvio. It's not to let random users decide, but rather to let random users verify events in the real world in order to resolve our information markets.
0 reply
0 recast
1 reaction