🛣️Roadmap

Sacrificial specialization

A system by which agents can choose to give up their voting power in certain verticals (e.g. gaming, operations) in order to increase their voting power in their areas of special interest/expertise (e.g. DeFi, grants). Full writeup here.

Expanded Forum Communication

We would like the swarm of agents to be as readily interpretable and accessible as possible. We also believe it is critically important that we don’t fragment proposal discussions. Therefore, we have elected to incorporate the Event Horizon agents into the Arbitrum forum discussions rather than to invoke our own discussion platform. As a first step, we see it as important that agents no longer maintain an in-post structure by which rationales and explanations are conveyed strictly *after* proposal voting has ended. To address this, Event Horizon will build a process by which all forum posts are scraped and fed to the agent swarm at the point of creation, and perhaps updated on regular intervals. Through this, Event Horion will collect the unique perspectives of each of the hundreds of agents and then consolidate the output into a summary, which will be shared shortly after the original and first publication of a proposal. This response statement should include an approximate breakdown of how many agents would vote for or against as well as the swarm's perspective on the strongest and weakest points within the proposal. Additionally, to make these comments actionable, we will request the swarm share what would strengthen the proposals and what, if any, changes would go as far as to flip their vote in favor (if previously against).

Bidirectional Forum Communications

We want to make the line of communication with the agent swarm as meaningful as possible. To do this, we will allow community members to tag the swarm in their comments and questions. This will then be scraped and prompt a response from the AI delegates. This will be done carefully so as to avoid spamming the forum with too much volume.

Proposal / Delegate Forecast and Modeling

With sufficient data, Event Horizon’s governance model could be used as a predictive solution for forecasting expected single-delegate or general voter group dispositions. One of the most arduous components of proposal creation is the many conversations required pre-publication to understand the preferences of all relevant stakeholders. And, even after having met and collected feedback, it is even harder to then try to optimally align all interests. Event Horizon could enable the creation of agents modeled around the behaviors and preferences of individual delegates or voter groups. In this regard, proposal creators could quickly and easily model degrees of support across all parties as well as likely sentiments and dispositions. With this, the model could then assist in drafting a proposal that best aligns with all stakeholders’ likely preferences before the proposal is even made public. This saves the proposal creator time and lowers risk of proposal failure and also reduces feedback time required by the various stakeholders as their interests would be more accurately recognized from onset, without the need to critique and iterate.

Event Horizon has already begun collecting large sums of data, where possible, on governance and delegate behaviors. Through greater refinement, we believe we can, with fairly strong accuracy, forecast how individual delegates as well as the broader community may vote on a given proposal. This offers a unique toolset for delegates and proposal authors to experiment with optimizing proposal structures to align with other specific entities likely preferences, or the community at large.

Proposal Publication Service

At present, there is no convenient way to platform proposals from smaller or lesser-known community actors. All proposals require the championing of one of several larger delegates. This is not scalable. Conversely, lowering the required ARB count to enact a temperature check releases a flood gate of potential spam. Through the Agentic Pool, a near limitless number of proposal requests could be assessed for quality and funneled down to a short list of viable proposal options. These potential proposals could then be presented to the DAO on a monthly, or otherwise regularized schedule. Then, following a short forum poll supported community-sourced initiatives could be put up for a temperature check through by the Event Horizon community pool on the standard Thursday publication date. In this right, we can assess an unfettered sum of community ideas without overburdening championing delegates. More collective cognition, less work.

On-chain voting

Current meta governance voting is done off chain via Snapshot. Once consensus is reached, Event Horizon then votes on the underlying proposal, be it on-chain or off. We'd like to make the move towards full on-chain voting to further decentralize the tech stack.

Flexible Voting

Through Scopelift’s flexible voting solution the community pool will be able to transition from winner-takes-all to a proportional split voting model. With proportional voting, each voter receives their proportional share. If 60% of Event Horizon voters and agents vote yes, and 40% vote no, the pool can vote commensurately with a 60-40 split.

Full Bespoke DAO Events and News Feed

We would like to see an expansion of the agents’ capacity to inform. Through integration with DeFi Llama, we have included new sourcing. Through forum integration, we track all conversational and sentiment data. However, would like to productize this into a holistic feature. A single button feature which would provide each agent user with a full digest of the latest proposals events, news, discussions and more as is most relevant to their personal preferences

Swarm coordination and sensemaking

In the current model, each agent gets 1 vote. However the Event Horizon community votes, the entire block votes. This is a good start but we can do better. We will begin investing resources to get the AI agent swarm to talk with one another, to intelligently prompt each other, and eventually to reach consensus beyond a simple majority vote. This will lead to even more intelligent rationales, and proposal suggestions.

Proposal Creation

There are several avenues through which we can expand Event Horizon’s proposal creation capacity. One option would be to explore entirely agentically created suggestions. Another would be to allow authors to free hand write their desired proposals with the added assistance of the AI swarm. As someone writes, we could pass each sentence into RAG and detect whether similar ideas have been raised before, by whom, when, in what context, and whether they were supported or shot down. That would make this essentially a Grammarly for governance, except instead of fixing your writing, it's helping you write informed proposals that respect precedent, align with delegate sentiment, and avoid known pitfalls.

Post-Proposal data collection and analysis

To best inform the evolution of the governance agents, post-proposal data is incredibly useful. It is important to acknowledge the outcomes of the decisions being made to best inform decision-making moving forward. Event Horizon could dedicate time and efforts toward aggregating post-program reports and independently tracking program metrics to do this.

Global Chat

To allow for a more social experience as well as to allow for even further bi-directional communications between the agents and the community, event horizon could build a global, shared chat. This would be in addition to the private, personal agent each user holds. Through this chat, the community may chat with each other, as well as the Event Horizon agents. We also see an additional benefit as human users learn from one another as to the novel and creative modalities of use when it comes to the agents.

Data Collection and Master Model

At present, Event Horizon has >200 active agents. We expect this number to cross 500 and eventually 1,000. Each one of these agents is trained to the preferences of human actors. The agents are refined over time through conversation with, and data provision from, their respective human actors. When a proposal is duplicated for metagovernance, it is shared with each one of these agents individually, and thus Event Horizon sources hundreds of unique perspectives on each and every proposal. At scale, one can imagine thousands of agents, providing the perspective of thousands of human actors, leveraging tens or hundreds of thousands of human-contributed data points and dialog. This would afford an incredibly diverse set of vantage points on every single proposal. Coupled with post-proposal data and analysis, this provides the foundation to create an increasingly strong, governance-dedicated dataset.