First, let me briefly summarize the Virtuals team's year-end report:

The Virtuals team reviewed the achievements of the past year, including significant growth after the platform launched on Base: the number of token holders reached 220,000, with a total market value exceeding $2 billion, and an annualized revenue of $300 million, ranking among the top ten crypto protocols globally. The team proposed a vision to build a 'nation' centered on AI intelligent agents and plans to achieve this through five key tasks:

  1. Attracting top builders: Providing fair and friendly ecosystems for intelligent agent developers through funding, technology, and channel support, viewing them as 'citizens' of the ecosystem.

  2. Creating a fair investment environment: Ensuring that retail investors can participate in top projects from the early stages, reducing unfair phenomena in the existing private placement phase.

  3. Building a modular AI infrastructure: Promoting the transformation of academic achievements, serving Web2 and Web3 developers, and providing flexibility and diversity for the ecosystem.

  4. Creating profit models for intelligent agents: Achieving self-sufficiency for intelligent agents through strategic investment and industry development assessment, while promoting services externally.

  5. Promoting the Luna project: Integrating cryptographic technology and AI innovation to create a revolutionary user experience.

The team maintains a humble attitude towards the future and reaffirms the importance of effort and wise decision-making, calling on the community to continue supporting.

Then let's talk about our views:

The achievements and vision of Virtuals demonstrate its profound understanding and foresight regarding the future development of blockchain and AI, especially in the concept of making AI intelligent agents the core economic entities, which is highly innovative. However, the realization of this goal also faces multiple challenges.

  • In terms of advantages:

  1. Grand vision: Virtuals proposes the concept of creating an 'intelligent agent nation', providing a brand new development path for the industry, especially in emphasizing the potential of AI and blockchain integration.

  2. Outstanding financial performance: Achieving $300 million in annualized revenue within a year, demonstrating the feasibility of its model and market acceptance.

  3. Emphasis on fairness: The focus on creating a fair environment for retail investors addresses many criticisms faced by crypto projects, showcasing its humane and open ecological design philosophy.

  4. Clear technology orientation: The modular and flexible strategy indicates the team's keen insight into technological updates and rapid adaptation.

  • Shortcomings and challenges:

  1. Feasibility of the intelligent agent 'nation': Whether the total transactions among intelligent agents and humans can truly form an economy still needs verification. Especially in the actual implementation process, technology, legal, and social acceptance may become bottlenecks.

  2. Fair investment for retail investors: Although the concept is commendable, avoiding value extractors on decentralized platforms remains challenging. This requires stronger governance mechanisms.

  3. Luna project implementation: Although the vision is appealing, specific application scenarios and market fit still need to be clarified; otherwise, it may devolve into conceptual marketing.

  • Participants should pay attention to:

Is the Virtuals team gradually narrowing the gap between vision and reality, promoting ecosystem development with more concrete short-term goals? Especially regarding the concept of an intelligent agent 'nation', it is recommended to first verify the feasibility of its economic model through small-scale experiments or sandbox projects. In addition, the commitment to the fairness of retail investor participation needs to be implemented in a more transparent manner, including real-time disclosure mechanisms and community voting systems.

Overall, Virtuals combines innovation and execution, with huge future potential, but it also needs to carefully manage the gap between expectations and reality to continuously earn the trust of the community.

What is Luna here?

The Luna project is a core component of the Virtuals ecosystem, aimed at integrating the permissionless features of cryptography with cutting-edge innovations in artificial intelligence (AI) to create a new user experience and interaction model. Specifically, Luna's vision is to promote the application of AI technology in a decentralized architecture, deeply integrating agent functions into the blockchain ecosystem, and building a borderless, permissionless virtual space that allows for freer and more efficient collaboration between humans and AI intelligent agents. Luna is an AI and blockchain integration platform focusing on human-computer interaction, designed to provide users with highly personalized and immersive service experiences. Luna is aimed at end-users, with the goal of enhancing the efficiency of daily life and work. For example, an employee uses Luna's intelligent agent to schedule daily meetings, and the agent automatically adjusts the timetable and sends reminders based on work priorities.

Luna and GAME target different objects, and their goals are significantly different. Luna focuses on the application layer that serves users, while GAME is the infrastructure that supports developers. The two can work together, as Luna's intelligent agent services may rely on the development environment supported by GAME.

Comparing Luna and Virtuals with AI education projects as an example:

Applications of Luna

Luna provides user-oriented educational services, enhancing learning efficiency through AI intelligent agents:

  • Scenario: A student wants to learn programming and needs a dedicated mentor for guidance.

  • Implementation of Luna: The student interacts with an AI educational agent, such as asking the question 'How to understand object-oriented programming in Python?' Luna's agent generates a detailed explanation, provides code examples, and designs step-by-step exercises for the student. The agent adjusts the content based on the student's learning progress to ensure a personalized learning path.

Key point: Luna provides the interactive interface for end-users, focusing on intelligent agents directly meeting user needs.

Applications of Virtuals

Virtuals supports the development and collaboration of educational intelligent agents, building an open educational intelligent agent ecosystem:

  • Scenario: An educational technology company has developed a variety of intelligent agents for programming education and collaborates on deployment on the Virtuals platform.

  • Implementation of Virtuals: The company uses the Virtuals platform to design intelligent agents as modular tools, such as code debugging assistants, exercise question generators, real-time question answering tools, etc. Agents can share resources, such as the debugging assistant calling the question answering tool, improving service quality. Students and educational institutions can subscribe to these agents and call them as needed.

Key point: Virtuals provides an open collaborative ecosystem that supports developers in creating multifunctional intelligent agent networks rather than directly serving students.