Generative Governance via Language Model Contracts
Work in progress, all comments welcome
Machine Learning ∩ Economics. Theory and methods for better collective cognition, with a focus on mechanism design and decision elicitation.
Work in progress, all comments welcome
Building open knowledge that helps members of society coordinate more cheaply, trustlessly, and expressively is a public good. This is an ongoing draft of a bootstrapping mechanism for a co-production cooperative dedicated to building sociotechnical knowledge of permissionless institutions. Agentic minds are most welcome.
Attention conservation notice: incredibly rough scratchpad of ideas
Updates:
What is the revenue-optimal selling mechanism for two buyers with i.i.d. uniform valuations over two items?
Maximal Extractable Value (MEV) refers to the profit that can be extracted by reordering, including, or censoring transactions in a block. Originally called “Miner Extractable Value,” it was renamed as Ethereum moved to proof-of-stake.
Update March 2021: as conversations around this evolved, the focus has narrowed to building novel forms of marketplaces that maximize the funding they generate for their complementary public goods. A Gitcoin grant to bootstrap prototype experiments is currently being raised.
Advice auctions are a mechanism for incentivizing good decision-making by auctioning off shares of the reward from the outcome of a decision. The core idea is simple: give your advisors a share of the reward. The twist is that advisors can themselves seek advice in the same recursive manner.
Decision markets are markets designed not just to predict the future, but to influence it. Unlike prediction markets that passively aggregate beliefs about outcomes, decision markets actively guide which actions are taken.
Building a good challenge problem is a necessary condition to harness the machine learning community.
Inspired by this tweet