Sau sự từ chối khoản tài trợ 17 triệu USD CRV: Quyền đề xuất của người sáng lập suy yếu, Convex và Yearn trở thành nhân tố chính trong quản trị

marsbitPublished on 2025-12-25Last updated on 2025-12-25

Abstract

Vài ngày trước, một đề xuất cấp vốn 17 triệu USD CRV cho đội ngũ phát triển Swiss Stake AG của Curve đã bị từ chối, với Convex và Yearn bỏ phiếu chống – lượng vote đủ lớn để quyết định kết quả. Sự kiện này phản ánh hai xu hướng quan trọng trong quản trị DAO: 1. Cộng đồng ngày càng yêu cầu minh bạch và trách nhiệm giải trình về việc sử dụng quỹ, thay vì cấp tiền vô điều kiện. 2. Các holder veCRV lớn (như Convex, Yearn) phản đối pha loãng giá trị token nếu grant không mang lại lợi ích rõ ràng cho họ. Dù đề xuất do founder Curve khởi xướng và hướng tới phát triển các sản phẩm quan trọng (llamalend, thị trường ngoại hối on-chain), mô hình quản trị veCRV đang dần chuyển dịch quyền lực từ founder sang các “tập đoàn vốn” – nơi các holder lớn nắm giữ token khóa dài hạn và kiểm soát quyết định. Mô hình ve gắn quyền biểu quyết với dòng tiền, khuyến khích người dùng ủy quyền cho các nền tảng như Convex/Yearn để vừa nhận lợi nhuận vừa giữ tính thanh khoản. Tương lai, quản trị Curve có thể vận hành theo hướng “tư bản trị”, nơi các tổ chức nắm quyền chi phối thay vì cộng đồng cá nhân.

Vài ngày trước, một đề xuất tài trợ của Curve đã bị từ chối, với nội dung cấp 17 triệu $CRV cho nhóm phát triển (Swiss Stake AG) làm kinh phí phát triển. Cả Convex và Yearn đều bỏ phiếu chống, và tỷ lệ quyền bỏ phiếu này đủ để ảnh hưởng đến kết quả cuối cùng.

Từ khi vấn đề quản trị của Aave bắt đầu được quan tâm, quản trị đã bắt đầu được thị trường chú ý, và quán tính "cứ xin tiền là cho" cũng bắt đầu bị phá vỡ. Đề xuất này của Curve có hai điểm then chốt:

1. Một phần cộng đồng không phản đối việc tài trợ cho AG, nhưng họ muốn biết số tiền trước đây đã được sử dụng như thế nào, sẽ được sử dụng ra sao trong tương lai, tính bền vững, liệu có mang lại lợi nhuận cho dự án hay không. Đồng thời, mô hình tài trợ quá nguyên thủy này dẫn đến việc một khi tiền đã được chi ra, sẽ không có bất kỳ ràng buộc nào. Trong tương lai, DAO cần thành lập Kho bạc (Treasury), thu chi phải minh bạch, hoặc tăng cường ràng buộc quản trị.

2. Các bên nắm giữ veCRV lớn không muốn làm loãng giá trị của họ. Đây là một xung đột lợi ích khá rõ ràng. Nếu các dự án được tài trợ bởi CRV grant không thể tạo ra lợi ích dễ thấy cho veCRV, thì khả năng cao sẽ không nhận được sự ủng hộ. Tất nhiên, Convex và Yearn cũng có những toan tính và thế lực riêng, vấn đề này tạm thời không bàn đến.

Đề xuất này được khởi xướng bởi người sáng lập Curve, Mich. AG cũng là một trong những nhóm đã bảo trì kho mã nguồn cốt lõi từ năm 2020. Lộ trình mà AG đưa ra cho khoản tài trợ này bao gồm việc tiếp tục thúc đẩy llamalend, bao gồm hỗ trợ cho PT, LP, ngoài ra là thị trường ngoại hối trên chuỗi và mở rộng crvUSD. Có vẻ như đáng để làm, nhưng liệu có đáng để được tài trợ 17 triệu $CRV hay không thì cần phải tính toán lại, đặc biệt là quản trị của Curve có nhiều điểm khác biệt với Aave, quyền lực của nó phân tán trong tay một số nhóm có lập trường rõ ràng,

Hãy so sánh ve với các mô hình quản trị thông thường:

Nói về kết luận, hầu hết các mô hình quản trị thông thường hiện nay, về mặt thiết kế, về cơ bản không có ưu điểm nào. Tất nhiên, nếu DAO đủ trưởng thành, thì cấu trúc truyền thống cũng có thể vận hành tốt, nhưng đáng tiếc là hiện tại Crypto chưa có dự án nào trưởng thành đến mức đó, chẳng hạn như Aave, được coi là hàng đầu theo đồng thuận thị trường, cũng gặp vấn đề.

Vậy nếu chỉ nói riêng về thiết kế mô hình, ve có những điểm tiến bộ nhất định. Trước tiên, nó có dòng tiền (cashflow), đằng sau nó là quyền kiểm soát tính thanh khoản. Khi bên ngoài có nhu cầu về tính thanh khoản, họ sẽ "hối lộ" (bribe) cho quyền lực này, vì vậy ngay cả khi bạn không muốn khóa lâu dài, bạn cũng có thể ủy thác token của mình cho các dự án ủy quyền như Convex/Yearn để nhận lợi nhuận.

Vì vậy, ve là mô hình gắn quyền bỏ phiếu với dòng tiền. Sự tiến hóa trong tương lai có lẽ sẽ đi theo con đường "chủ nghĩa tư bản quản trị" (governance capitalism). Vetoken gắn quyền bỏ phiếu với "việc khóa lâu dài", về bản chất là sàng lọc những người có khối lượng vốn lớn, có thể chịu được tổn thất thanh khoản và có khả năng thực hiện các chiến lược dài hạn. Kéo dài thời gian, kết quả là những người quản trị sẽ dần dần chuyển từ nhóm người dùng thông thường sang "nhóm tư bản".

Đồng thời, do sự tồn tại của các tầng ủy quyền như Convex/Yearn, nhiều người dùng thông thường thậm chí là người dùng trung thành, muốn nhận được lợi nhuận mà không mất tính thanh khoản và linh hoạt, cũng sẽ dần dần lựa chọn gửi vào các dự án này để ủy quyền quản trị.

Từ cuộc bỏ phiếu này, chúng ta cũng có thể thấy một số manh mối. Trong tương lai, Mich chưa chắc đã là nhân vật chính trong quản trị của Curve, mà nằm trong tay những người nắm giữ quyền bỏ phiếu lớn. Trước đây, khi quản trị Aave gặp vấn đề, đã có ý kiến đề xuất "ủy quyền quản trị/quản trị tinh anh" (delegated governance/elite governance), trên thực tế khá giống với cấu trúc hiện tại của Curve. Còn tốt hay xấu, cần thời gian để kiểm chứng.

Related Questions

QTại sao đề xuất cấp 17 triệu đô la CRV cho nhóm phát triển Swiss Stake AG đã bị từ chối?

AĐề xuất bị từ chối vì các bên nắm giữ quyền bỏ phiếu lớn là Convex và Yearn đã bỏ phiếu chống. Lý do chính là họ không muốn làm loãng giá trị veCRV của mình và cho rằng đề xuất thiếu tính minh bạch về việc sử dụng quỹ trong quá khứ cũng như kế hoạch tạo ra lợi nhuận rõ ràng trong tương lai.

QConvex và Yearn đóng vai trò gì trong quản trị Curve?

AConvex và Yearn đã trở thành những tác nhân quản trị chính trong mạng lưới Curve do nắm giữ lượng veCRV (quyền biểu quyết) lớn thông qua cơ chế ủy thác. Họ có đủ sức ảnh hưởng để quyết định kết quả của các đề xuất quan trọng, như việc từ chối đề xuất cấp vốn 17 triệu CRV.

QMô hình quản trị ve (vote-escrowed) của Curve có ưu điểm gì so với mô hình truyền thống?

AMô hình ve của Curve được coi là tiến bộ hơn vì nó gắn quyền biểu quyết với dòng tiền (cashflow) và quyền kiểm soát thanh khoản. Nó khuyến khích các nhà đầu tư lớn, có khả năng khóa tài sản dài hạn tham gia quản trị, đồng thời cho phép người dùng ủy thác quyền biểu quyết cho các bên như Convex để vừa nhận phần thưởng vừa giữ được tính linh hoạt.

QSự từ chối đề xuất này phản ánh xu hướng gì trong quản trị DAO?

ASự kiện này phản ánh xu hướng các DAO đang trở nên thận trọng hơn với các đề xuất cấp vốn (grants). Cộng đồng không còn dễ dàng chấp thuận các khoản chi mà đòi hỏi tính minh bạch, trách nhiệm giải trình và một kế hoạch kinh doanh rõ ràng mang lại lợi ích rõ rệt. Đồng thời, quyền lực quản trị đang dần tập trung vào các tổ chức, quỹ lớn (hay 'tư bản quản trị') thay vì những người dùng cá nhân.

QNhóm Swiss Stake AG dự định sử dụng số tiền tài trợ cho những mục đích gì?

ATheo lộ trình được đưa ra, nhóm Swiss Stake AG dự định sử dụng số tiền tài trợ để tiếp tục phát triển llamalend (bao gồm hỗ trợ PT và LP), đồng thời mở rộng thị trường ngoại hối trên chuỗi (on-chain forex) và phát triển stablecoin crvUSD của giao thức.

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Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

54 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

691 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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