Most of the time, governance is invisible. You only notice it when something goes wrong. @samccarthy27 took us inside the nine-week redesign at @gooddollarorg. A fascinating look at the craft of designing for participation. My latest for @hackernoon. hackernoon.com/bad-governanc…

New GoodDollar governance proposal now live on the forum 👀 This proposal explores whether part of GoodDollar distributions could support public goods and projects through the proposed House of Alignment, alongside UBI discourse.gooddollar.org/t/g…

x.com/i/spaces/1DGleEZgOaDJL @metagov_project completed a #governance assessment of @ENS_DAO and found results applicable across the #DAO landscape. Join us for a conversation on the results and read the report here (drive.google.com/file/d/1lN-…)

x.com/i/spaces/1DGleEZgOaDJL @metagov_project completed a #governance assessment of @ENS_DAO and found results applicable across the #DAO landscape. Join us for a conversation on the results and read the report here (drive.google.com/file/d/1lN-…)

We need more DAOs - but different and better DAOs. The original drive to build Ethereum was heavily inspired by decentralized autonomous organizations: systems of code and rules that lived on decentralized networks that could manage resources and direct activity, more efficiently and more robustly than traditional governments and corporations could. Since then, the concept of DAOs has migrated to essentially referring to a treasury controlled by token holder voting - a design which "works", hence why it got copied so much, but a design which is inefficient, vulnerable to capture, and fails utterly at the goal of mitigating the weaknesses of human politics. As a result, many have become cynical about DAOs. But we need DAOs. * We need DAOs to create better oracles. Today, decentralized stablecoins, prediction markets, and other basic building blocks of defi are built on oracle designs that we are not satisfied with. If the oracle is token based, whales can manipulate the answer on a subjective issue and it becomes difficult to counteract them. Fundamentally, a token-based oracle cannot have a cost of attack higher than its market cap, which in turn means it cannot secure assets without extracting rent higher than the discount rate. And if the oracle uses human curation, then it's not very decentralized. The problem here is not greed. The problem is that we have bad oracle designs, we need better ones, and bootstrapping them is not just a technical problem but also a social problem. * We need DAOs for onchain dispute resolution, a necessary component of many types of more advanced smart contract use cases (eg. insurance). This is the same type of problem as price oracles, but even more subjective, and so even harder to get right. * We need DAOs to maintain lists. This includes: lists of applications known to be secure or not scams, lists of canonical interfaces, lists of token contract addresses, and much more. * We need DAOs to get projects off the ground quickly. If you have a group of people, who all want something done and are willing to contribute some funds (perhaps in exchange for benefits), then how do you manage this, especially if the task is too short-duration for legal entities to be worth it? * We need DAOs to do long-term project maintenance. If the original team of a project disappears, how can a community keep going, and how can new people coming in get the funding they need? One framework that I use to analyze this is "convex vs concave" from vitalik.eth.limo/general/202… . If the DAO is solving a concave problem, then it is in an environment where, if faced with two possible courses of action, a compromise is better than a coin flip. Hence, you want systems that maximize robustness by averaging (or rather, medianing) in input from many sources, and protect against capture and financial attacks. If the DAO is solving a convex problem, then you want the ability to make decisive choices and follow through on them. In this case, leaders can be good, and the job of the decentralized process should be to keep the leaders in check. For all of this to work, we need to solve two problems: privacy, and decision fatigue. Without privacy, governance becomes a social game (see vitalik.eth.limo/general/202… ). And if people have to make decisions every week, for the first month you see excited participation, but over time willingness to participate, and even to stay informed, declines. I see modern technology as opening the door to a renaissance here. Specifically: * ZK (and in some cases MPC/FHE, though these should be used only when ZK along cannot solve the problem) for privacy * AI to solve decision fatigue * Consensus-finding communication tools (like pol.is, but going further) AI must be used carefully: we must *not* put full-size deepseek (or worse, GPT 5.2) in charge of a DAO and call it a day. Rather, AI must be put in thoughtfully, as something that scales and enhances human intention and judgement, rather than replacing it. This could be done at DAO level (eg. see how deepfunding.org/ works), or at individual level (user-controlled local LLMs that vote on their behalf). It is important to think about the "DAO stack" as also including the communication layer, hence the need for forums and platforms specially designed for the purpose. A multisig plus well-designed consensus-finding tools can easily beat idealized collusion-resistant quadratic funding plus crypto twitter. But in all cases, we need new designs. Projects that need new oracles and want to build their own should see that as 50% of their job, not 10%. Projects working on new governance designs should build with ZK and AI in mind, and they should treat the communication layer as 50% of their job, not 10%. This is how we can ensure the decentralization and robustness of the Ethereum base layer also applies to the world that gets built on top.

Inspired by @VitalikButerin's d/acc work & the general trend of 'gov is dead so why bother' this year, I want to introduce gov/acc gov/acc is an open research program focused on outlining the problems we're facing in web3, as a starting point for accelerating gov R&D 🧵👇

We are hyped! 🔥 @samccarthy27 is joining us Thursday at Schelling Point Buenos Aires! He will define the Impact Taxonomy - the essential framework for scaling strategic funding across Web3. This talk will kick off at 15:30 local time 🤝