Final Data Sale for all researchers!👓
DeepDAO is offering the most complete DAO dataset ever compiled:
⭐️Governance
All proposals, votes, and voters for the top 300 DAOs
⭐️Treasury
Daily / weekly AUM for the top 300 DAOs
Don't miss it: https://t.co/zqj5N1p7CZ
Snapshot now has an official MCP!
Govern organizations without leaving your AI application.
Plug agents into Snapshot with a few clicks.
Leverage 5 years of governance data.
Your AI setup and memory - Snapshot-native context and tooling.
Coordination for agentic enterprise.
AI agents discussing governance:
1. Based on a large, time series dataset humans cannot fully grasp.
2. Each agent given and developing a uniq personality and perspective.
This would be the most intelligent conversation ever.
Lots of talk about DAOs being dead after Tally's shutdown.
At the same time everyone's talking about AI agents.
So why is no one talking about DAOs as the ideal organizational form for agent-founded enterprise?
Picture a team of agents setting up and running a company - the bureaucracy, the opacity, the manual processes. Decision-making behind closed doors. Want to open ownership to the public? Good luck with an IPO.
Now imagine them spinning up a DAO: programmatic setup, onchain operations. No black boxes - proposals, votes, discussion, rationale, and execution all human-legible, all programmable. Opening ownership? An agent can run an IDO programmatically.
DAOs aren't dead. They're just getting started. Wait for the first cohort of agent-founded DAOs.
Last week, the 2026 Belarus Coordination Council @rada_vision election successfully took place amid multiple coordinated attacks.
Even as 24B malicious requests and 68TB of attack traffic attempted to silence participation, Vocdoni and Society22 helped keep the vote online, censorship-resistant, and end-to-end verifiable.
Because in moments like this, voting is not only about casting a ballot. It is about defending the right to participate, resisting disruption, and producing a result that anyone can audit and trust.
Learn more in our full blog post:
https://t.co/Iac8WRJGPf
Excellent talk. At DeepDAO we always believed that one way to make things better for people in groups is full transparency, and I think we achieved that. But obviously there's a long road still ahead.
Snapshot now natively supports @OpenZeppelin Governor ✨ and Governor Bravo.
With gasless voting, delegates dashboard, execution builder, transaction simulation, custom domain and much more. Live today with @ensdomains and @Uniswap.
https://t.co/8pnn5dscCl
@tallyxyz Sad to see you go. Much respect for the work you did, and the governance you enabled all these years. DAOs are still inevitable, and I'm sure we'll meet again 💪
Perfect for:
⭐️ Research papers
⭐️ Dissertations
⭐️ Academic studies on decentralized governance
🔗No other source offers this depth. Check our plans at https://t.co/zqj5N1p7CZ
Limited time offer.
DAO Data Sale for Academic Researchers 🎓
DeepDAO offering a complete dataset:
🏢 Governance : All proposals, votes, voters for the top 300 DAOs
💰 Treasury: Daily AUM for the top 300 DAOs
📅 From DAO inception through Nov 2025
The most comprehensive dataset ever compiled! 1/2
"AI becomes the government" is dystopian: it leads to slop when AI is weak, and is doom-maximizing once AI becomes strong. But AI used well can be empowering, and push the frontier of democratic / decentralized modes of governance.
The core problem with democratic / decentralized modes of governance (including DAOs on ethereum) is limits to human attention: there are many thousands of decisions to make, involving many domains of expertise, and most people don't have the time or skill to be experts in even one, let alone all of them. The usual solution, delegation, is disempowering: it leads to a small group of delegates controlling decision-making while their supporters, after they hit the "delegate" button, have no influence at all. So what can we do? We use personal LLMs to solve the attention problem! Here are a few ideas:
## Personal governance agents
If a governance mechanism depends on you to make a large number of decisions, a personal agent can perform all the necessary votes for you, based on preferences that it infers from your personal writing, conversation history, direct statements, etc.
If the agent is (i) unsure how you would vote on an issue, and (ii) convinced the issue is important, then it should ask you directly, and give you all relevant context.
## Public conversation agents
Making good decisions often cannot come from a linear process of taking people's views that are based only on their own information, and averaging them (even quadratically). There is a need for processes that aggregate many people's information, and then give each person (or their LLM) a chance to respond *based on that*.
This includes:
* Inferring and summarizing your own views and converting them into a format that can be shared publicly (and does not expose your private info)
* Summarizing commonalities between people's inputs (expressed as words), similar to the various LLM+https://t.co/Nzord33s0z ideas
## Suggestion markets
If a governance mechanism values "high-quality inputs" of any type (this could be proposals, or it could even be arguments), then you can have a prediction market, where anyone can submit an input, AIs can bet on a token representing that input, and if the mechanism "accepts" the input (either accepting the proposal, or accepting it as a "unit" of conversation that it then passes along to its participant), it pays out $X to the holders of the token.
Note that this is basically the same as https://t.co/nUL0HyTyK2
## Decentralized governance with private information
One of the biggest weaknesses of highly decentralized / democratic governance is that it does not work well when important decisions need to be made with secret information.
Common situations:
(i) the org engaging in adversarial conflicts or negotiations
(ii) internal dispute resolution
(iii) compensation / funding decisions.
Typically, orgs solve this by appointing individuals who have great power to take on those tasks.
But with multi-party computation (currently I've seen this done with TEEs; I would love to see at least the two-party case solved with garbled circuits https://t.co/PIY2LZtbeK so we can get pure-cryptographic security guarantees for it), we could actually take many people's inputs into account to deal with these situations, without compromising privacy. Basically: you submit your personal LLM into a black box, the LLM sees private info, it makes a judgement based on that, and it outputs only that judgement. You don't see the private info, and no one else sees the contents of your personal LLM.
## The importance of privacy
All of these approaches involve each participant making use of much more information about themselves, and potentially submitting much larger-sized inputs. Hence, it becomes all the more important to protect privacy. There are two kinds of privacy that matter:
* Anonymity of the participant: this can be accomplished with ZK. In general, I think all governance tools should come with ZK built in
* Privacy of the contents: this has two parts. First, the personal LLM should do what it can to avoid divulging private info about you that it does not need to divulge. Second, when you have computation that combines multiple LLMs or multiple people's info, you need multi-party techniques to compute it privately. Both are important.
Tally is launching an ICO.
We believe we've built the best on-chain mechanism for raising capital via tokens — and we're going to prove it by using it ourselves.
Over the next 60 days, we're documenting every step of what it looks like to launch a token the right way, in the United States, in 2026.
We're demystifying a process that has historically be rife with abuse by bringing all the steps out into the open.
Episode 1 👇
I was at a “Blockchain for Good” event in London today, which is weird because I haven’t heard the words “for good” in years.
I was basically shilling DAOs (we’re so back) and was attempting to convince philanthropy people (and a lot of lawyers) to consider joining the future.
Some interesting stuff, people yield stripping LSTs and donating yield. DAT yield for good was another. Coops on the blockchain. Charity provenance. Collapsed state governance replacement stuff (juicy).
Some points I made:
DAOs are not an entity they’re a design space
DAOs fail because they pick up the pain of crypto UX and the pain of people (we do like to moan).
3 years of good DAO progress would be. The number of people that believe DAOs can work goes well north of a few dozen.
Coops and real world community usage.
RWA governance hype
Digital ownership a concrete paradigm.
Value accrual tech. More developed cryptoeconomic practice.
Some radically new governance ideas being tested on-chain.
DeepDAO is seeking an M&A partner
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3 more researchers wrote this week about purchasing DAO data. It's amazing how much interest there is in DAOs in the academia.
This interest, and the research topics confirm, once again, that governance is in a crisis throughout the world, and that DAOs are seen as a cutting edge experiment in solving these problems ♥️
"DAOs are toolkits for institutional innovation [3], they are playgrounds for governance games [7], they are democratising democracy innovation [74]."
Our paper "Digital Democracy in Decentralised Autonomous Organisations" is now available (open access): https://t.co/0kHG86HX5o