Motivation
There is plenty of needless labor in Arbitrum governance. The process from ideation to proposal passing and assessment is full of inefficiencies and needless friction. Delegates are stretched thin both in mental bandwidth and time. New proposals face immense hurdles in grabbing the attention and feedback of these delegates and in crowdsourcing iterative improvements from the community. Communication takes weeks or even months to accumulate, not counting the processes of consensus-making. Itās often unclear what a marker of success would look like for a proposal, and itās all too common for transparent assessments to be reported to the DAO, making it difficult to know if grant money has been used productively. Finally, if a proposal has attracted some traction, itās often hard to get oneās bearings straight in that discussion without wading through 50+ replies of mixed quality with several external links and data points to consider.
With all these points of friction, current technological developments can act as a WD-40 for the entire governance process. Event Horizon aims to build upon existing infrastructure funded by the DAO to more effectively operationalize delegates. While there is still a long way to go before DAOs can be run fully autonomously, there are several places in which AI tooling can help improve the processes for human delegates today. The following proposal is a collaborative effort and contains several product requests sourced from various delegates and members of the AGI working group.
Event Horizonās AI Solution Today
Event Horizon has already begun building for Arbitrum. Today, anyone can access the following features on our website.
Shipped Features
Automated Voting: Users can create their own AI agent which gets its own micro-delegation from the Event Horizon voting pool, which then votes on this userās behalf. This agent votes in line with the general preferences of the user. Users can ask the agent to update its preferences, to explain its reasoning, and of course, the users can override the agent at any time.
Forum suggestions, summaries, and sentiment analysis: Event Horizon personal agents have forum data live updated in a RAG database. This additional context goes beyond voting. Users can prompt their agent to provide summaries of the discussion and general sentiment from other delegates.
Multilingual support: Users can use their agents to better understand proposals and forum discussions in their own, non-English, native language. All agent communication can now be done in various other languages.
Proposal suggestions: Agents can offer helpful suggestions for how an actively discussed proposal can be improved. These suggestions take into account active forum discussions and delegate conversations.
Rational generation: Agents can provide rationales for why they voted a certain way shining light inside the black box that is traditional AIs. Debate can also be struck with these agents to help refine human delegatesā own rationales.
Forum Comment Writing: Agents can also craft informed comments on active proposal discussions, enhancing pre-voting governance deliberation.
Much of these features required a non-trivial investment into underlying infrastructure to make this possible. We want to build on the success of what weāve shipped over the past few months to create more and better tools to help human delegates make decisions and track governance progress.
Requested features
After much discussion with the AGI Working group the following features were requested:
Delegate Modeling for Proposal Crafting (requested by L2beat)
Event Horizon will fine-tune models to provide voting patterns and rationales in the style of various top delegates. This provides several benefits to the DAO:
- Infinite Attention: Models donāt sleep. Every proposal, forum post, and amendment gets processed in real-time without delay.
- Skill-Cloning at Scale: Synthetic agents capture the heuristics, red-flag detectors, and institutional memory of the top-tier delegates once, then duplicate it across every sub-DAO or working group
- Latent Knowledge Distillation: Fine-tuning allows us to formalize unwritten norms and decision criteria. The resulting model is a governance advisor with infinite patience.
- Proposal simulation/forecast modeling: Spin up 100 synthetic delegates with slightly different temperature settings to Monte-Carlo vote outcomes before shipping a proposal resulting in free risk proposal analysis.
- Wisdom preservation: Delegates often drop out. Synthetic delegates allow us to preserve a time capsule of reasoning style and governance wisdom so that once a delegate does leave the space, these agents remain a source of wisdom for the DAO.
One of the greatest limitations to agentic governance today is the lack of differentiation. Though prompt engineering alone can make subtle differences in agent reasoning, weāve found that it requires true tuning to drive more meaningful differentiation from agent to agent. This differentiation is important for both personalization and emulation.
Swarm Coordination and Sensemaking
Just as weāre able to use these synthetic agents as a source of instantaneous feedback and wisdom, we can also use these same delegates and allow for synthetic debate. These simulated Socratic dialogues can help us find the source of fundamental disagreements, be it value-based or empirical, and can therefore suggest intelligent and valuable proposal suggestions to actively debated proposals. Various benefits include:
- Argument compression: Debates distill sprawling forum threads into easily digestible pro/con lists; human delegates can digest the TL;DR.
- Sentiment topography: Measuring vector divergence during the debate maps faction clusters, giving you a heat-map of where consensus is achievable.
- Bias counter-balancing ā Diverse synthetic personas cancel individual blind spots (public goods, legal, operations), yielding a more holistic recommendation than any single source of truth.
Select forum communication with SimScore
There was unanimous agreement between all delegates during the AGI working group calls that AI forum comments ought to be handled with care. No one wants to read AI slop or summaries interjected randomly into live debates. It ruins the flow of conversation and is often unoriginal. Thankfully, we can leverage the SimScore API developed by @ma3ts23to post only original, value-add comments to the forum. Our agents already have forum comments as context in their RAG databases. We can use this information, plus the outputs of synthetic delegates and/or swarm debate summaries to then filter for the most original comments via SimScore and post these comments to the forum.To ensure originality, our agents will filter forum comments using SimScore. These filtered comments will be derived from existing RAG databases (which contain forum discussions), augmented by insights from synthetic delegates and/or swarm debate summaries, and then posted to the forum. This will be done sparingly so as to not spam the forums. This allows us to provide the following benefits to the DAO:
- Redundancy filter: High-overlap takes die in the SimScore filter, so threads only show new insights that human agents havenāt yet considered
- Automated redundancy analytics: Rejected near-dupes become a heat-map of over-indexed ideas, giving delegates and DIP actionable data
- Transparency: Thresholds + logs prove each AI post cleared an originality bar which is useful for program assessment.
Flexible Voting (ScopeLift) (suggested by Ben DiFrancesco):
The Event Horizon delegation currently votes in a winner take all model. With the help of ScopeLift tooling we can break this up into chunks to better represent the underlying preferences of the users who have their own AI delegate. This would be an upgrade to the governor contract, which would allow users to fractionally delegate to various delegates. Whales would finally be able to:
- Beyond all-or-nothing: Delegate to more than one delegate
- Lower touch: should the DAO choose to delegate from the treasury to, say, underrepresented delegates, this can be done from a single wallet or multi-sig, rather than spinning up a new wallet or multi-sig for each delegation going out.
- Precision block voting: Voting blocks such as Event Horizon can split votes in a more fine-grained manner.
Full Bespoke DAO Events and News Feed:
A holistic personalized digest of the latest DAO proposals, discussions, and relevant events to users based on their unique preferences. This helps delegates in various ways:
- Relevancy filter: delegates can stay informed in a one-stop shop for any DAO-related chatter for areas theyāre specifically interested in
- Lower barrier to entry: having a single place where delegates can catch up on the latest DAO-related matters reduces the activation energy required to get back into voting, thereby helping reach quorum
- New delegate onramp: this tool also allows newer delegates to get up to speed faster rather than foraging through various, several page-long forum threads. Users can also ask for additional context via chat.
- Spam filter: low value-add DIP-gaming comments get filtered out.
KPI Suggestions for Proposals:
Itās far too common for there to be a lack of helpful markers of success in assessing new DAO initiatives.
Agents proactively recommend Key Performance Indicators (KPIs) tailored specifically to enhance clarity, accountability, and measurable outcomes within proposals. This allows delegates to:
- Consider options: Readily accessible KPI generation lowers the bar significantly to quantifying proposals. Rather than back and forth debate over qualitative assessments, delegates can easily summon KPI suggestions, which they can then offer as a way of measuring the future success of a given initiative.
- Iterate: With multiple sets of KPI suggestions, debate can be had around whether a given set is useful or not, rather than on generating KPIs from scratch.
Post-Proposal Data Collection, Analysis, and Reporting:
Key to the success of any grants program, DAO-related or not, is to be able to evaluate whether a given grant applicant successfully executed on their task. Once KPIs are selected with the above tool paired with human delegate discernment, autonomous data collecting agents can automatically collect and post monthly or even weekly reports to the DAO. This enable various benefits to the delegates:
- Tight feedback loops: Programs, such as DRIP, can get immediate feedback from data shared with the DAO. If something isnāt working, an AAE can cut the funding without having to wait through 6 months of emissions for a bi-anual report. If something is working, grantees can double down.
- Less operational overhead: Less time is spent by grantees compiling data for and writing large research reports. This infrastructure can run continuously in the background for the DAO.
- Greater transparency: Given data will be pulled from publicly available datasets, 0 trust is required on the part of the grantees to report accurately.
- Benchmark canonization: After several successful reports, a set of shared standards for key KPIs reporting formats can be unified DAO-wide.
- Faster effort: Given reports will be posted weekly or monthly, grantees have strong incentive to get the program up and running right away, rather than waiting and cramming their efforts last minute before the usual bi-anual review.
- Meta-analysis: After several proposals are tracked using this system, the DAO can easily compile multi-grant data to find which categories of grants are successful and which arenāt.
Global Chat:
Introduce a real-time global communication channel alongside personal agents, facilitating user collaboration, information sharing, and creative interaction methods. This allows users to prompt the agent swarm whenever and to see what previous users have found useful to ask the swarm. Benefits include:
- Reduced redundancy: Users with similar queries donāt have to reprompt the models
- Practical teaching: New users can learn how to use these tools by example by seeing how other users are using the AI tooling and swarm intelligence to be better delegates.
AI Scoring and Rationales for Grants:
Agents autonomously evaluate proposals and grant applications, assigning objective scores accompanied by detailed rationales, enhancing transparency and trust in funding decisions. This tool is:
- Transparent: No more subjective, black box assessment for grants.
- Efficient: Once built, this tool costs the DAO nothing. No need to pay committees. Turnaround time is instant.
Conclusion
Agentic governance is not speculative; itās an emerging standard that will define DAO participation. Arbitrum has a unique chance to lead this transformation. Event Horizon is committed to co-creating this initiative, guided by community input. This proposal will be brought to vote via Snapshot as a validation of the DAOās desire to see these initiatives built.