This short paper puts forward a vision for a new democratic model enabled by the recent technological advances in agentic AI. It therefore opens with drawing a clear and concise picture of the model, and only later addresses related proposals and research directions, and concerns regarding feasibility and safety. It ends with a note on the timeliness of this idea and on optimism. The model proposed is that of assigning each citizen an AI Agent that would serve as their political delegate, enabling the return to direct democracy. The paper examines this models relation to existing research, its potential setbacks and feasibility and argues for its further development.

This research examines the polycentric governance of digital assets in blockchain-based Decentralized Autonomous Organizations (DAOs). It offers a theoretical framework and addresses a critical challenge facing decentralized governance by developing a method to identify sybils, or spurious identities. Sybils pose significant organizational sustainability threats to DAOs and other, commons-based online communities, and threat models are identified. The experimental method uses graph deep learning techniques to identify sybil activity in a DAO governance dataset (snapshot.org). Specifically, a Graph Convolutional Neural Network (GCNN) learned voting behaviours and a fast k-means vector clustering algorithm (FAISS) used high-dimensional embeddings to identify similar nodes in a graph. The results reveal that deep learning can effectively identify sybils, reducing the voting graph by 2-5%. This research underscores the importance of sybil resistance in DAOs and offers a novel perspective on decentralized governance, informing future policy, regulation, and governance practices.

With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods based on the centralized or the decentralized scheme have not presented their competencies in considering the optimality and the scalability simultaneously. To address this issue, we propose an integrated control method based on the framework of Decentralized Autonomous Organization (DAO). The proposed method achieves a global consensus on energy consumption efficiency (ECE), meanwhile to optimize the local objectives of all involved intelligent agents, through a consensus and incentive mechanism. Furthermore, an operation algorithm is proposed regarding the issue of structural rigidity in DAO. Specifically, the proposed operation approach identifies critical agents to execute the smart contract in DAO, which ultimately extends the capability of DAO-based control. In addition, a numerical experiment is designed to examine the performance of the proposed method. The experiment results indicate that the controlled agents can achieve a consensus faster on the global objective with improved local objectives by the proposed method, compare to existing decentralized control methods. In general, the proposed method shows a great potential in developing an integrated control system in the ITS

This Monday, World Economic Forum (WEF) advisors Ravin Jesuthasan, Senior Partner and Global Leader for Transformation Services, Mercer, and George Zarkadakis, Senior Fellow, GeoTech Centre of the Atlantic Council, posted a report exploring the role of extended reality (XR) technologies in the future of the work. The WEF representatives spoke positively of immersive technologies such as cryptocurrency, non-fungible tokens (NFTs), the blockchain, and decentralized autonomous organizations (DAOs). Forum members explained that while Web3 solutions continue to emerge, the Metaverse is "already here." The WEF speaks highly of the Metaverse's prospect of revolutionizing work methodologies. The group also takes intrigue into the ways Web3 and DAO platforms can digitally reconnect businesses and communities.

A blockchain-enabled decentralized autonomous organization (DAO) has been formed by crypto investors and Russia-based artistes to raise funds for the Ukraine armed forces defending their country against the Russian army. UkraineDAO was established by members of investment group PleasrDAO, NFT studio Trippy Labs, and the founder of Russian art collective Pussy Riot on Thursday. A decentralized autonomous organization (DAO) is a transparent organization with regulations encoded as a computer program that is governed by its members and not influenced by any central authority. They can be used for any projects including fundraising. UkraineDAO intends to support Ukrainian soldiers with funds from its official war chest (ukrainedao.eth).

In order to understand DAO blockchain clearly, you need to take a look at a practical scenario. Think of a situation in which a ship crashed on an unknown and desolate island with hundreds of survivors. Now, the survivors must work in coordination and cooperation with each other to survive on the island until help arrives. Therefore, the survivors must follow a specific set of rules for maintaining coordinated behavior to survive on the island. However, the survivors would definitely need rulers and people to enforce the rules, thereby leading to the principal-agent dilemma. Interestingly, the principal-agent dilemma provides an ideal explanation for different DAO examples and how they work. The people making decisions on behalf of other people are referred to as agents, and the others are referred to as the principal. Since decision-makers or the agents distribute risk associated with their actions among others, the risk for the principal increases profoundly.

There is no denying that two of the biggest drivers behind technical innovation today are blockchain and artificial intelligence (AI). In fact, it's predicted that by 2030, AI will be responsible for adding over US$15 trillion to the global economy. Within the same amount of time, blockchain will contribute $3.1 trillion to business valuations. It's inevitable that their paths will cross as entrepreneurs seek innovative solutions to gain a competitive edge. The question is, what exactly can result from the synergy of these two powerhouse technologies?