美国如何打造加密货币之都?a16z 连发 11 文阐述

链捕手Published on 2025-02-07Last updated on 2025-02-07

原文标题:Making the U.S. the crypto capital: What it would take

来源:a16z

编译:Tom,MarsBit

 

美国似乎正在把对区块链和加密货币的对抗立场转变为更加支持的姿态,提供清晰的指导和规则,帮助建设者遵循这些规则。虽然这一转变还处于初期阶段,但政府已经采取了一些令人鼓舞的步骤,朝着这个目标迈进。新的领导层、新的规则、新的工作组——所有这些措施为加密行业提供了它急需的东西:一条切实可行的前进道路。

尽管近年来,加密创业公司面临诉讼、监管机构之间的领域之争、立法者的愤怒信件、去银行化事件以及通过执法进行监管等挑战,但过去几周则显示出了更加乐观、亲科技的态度。从白宫到监管机构,我们看到了任命人工智能与加密货币专员并发布行政命令支持区块链发展的举措。证券交易委员会(SEC)成立了新的加密货币工作组,并废除了曾经阻碍加密货币发展的《员工会计公告 121》规则。在国会两院,重要立法者也表示愿意通过立法明确规定行业的规则。

为了促进政府官员与区块链专家之间的对话,我们收集了 11 位行业专家的意见,涉及从税收、质押自由到更广泛的问题,如鼓励去中心化和改革美国的监管体系。这些观点为政策制定者提供了重要的思考,帮助他们更好地思考加密货币监管问题,确保美国引领这一向互联网下一代转型的关键时刻。

1. 为什么去中心化如此重要,以及为何需要激励

——Miles Jennings

去中心化至关重要。它推动了新的治理结构、组织形态和强大的经济体系——这意味着更多的选择、更多的声音和更多的竞争。但实际上,去中心化的实现一直很困难,因为在大规模协调的技术尚未出现之前(或并未对所有人开放),它与中央集权系统的高效与稳定相比,往往没有优势——直到现在。

在过去十多年里,随着技术的不断发展,我们已经到了去中心化能够真正运作的阶段,并且可以应用到数字生活的许多领域。但现在我们面临一个新的挑战:如何激励去中心化。尽管存在许多障碍,许多建设者已经成功地在大规模上实现了去中心化。为了吸引更多的建设者参与其中,我们只需要一条更加清晰的前进路径,以及一个公平竞争的环境。

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「就像重力一样,中心化是一种很难抗拒的力量。相比之下,去中心化——将控制权和权力转移到分布式团体——效率低下。它需要巨大的能量、努力和工程技术来克服自然的秩序。」

Miles Jennings 是 a16z crypto 的总法律顾问,他为公司及其投资组合公司提供去中心化、DAO、治理、NFT 以及州和联邦证券法方面的咨询。在此之前,他曾是 Latham & Watkins 的合伙人,并共同领导了该公司全球区块链和加密货币工作组。

2. 美国证券交易委员会(SEC)迎接(数字)时代

——Scott Walker 和 Bill Hinman

美国证券交易委员会(SEC)可以立即做出六项调整,制定适用的监管规则——而不必牺牲创新或关键的投资者保护。

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「通过这些调整,SEC 可以恢复其使命,并重新定位自己为一个具有前瞻性的监管机构,确保美国市场在保持竞争力的同时,也能够保护公众利益。」

Scott Walker 是 Andreessen Horowitz 的首席合规官。在此之前,他曾担任美国证券交易委员会(SEC)监管部门的数字资产与区块链技术高级专家,并在贝莱德(BlackRock)担任副总裁及法律顾问,专注于衍生品、主经纪业务和证券融资交易。

Bill Hinman 目前是 a16z crypto 的顾问合伙人,并且是全球律师事务所 Simpson Thacher & Bartlett LLP 的高级顾问。从 2017 年到 2020 年,Bill 曾担任美国证券交易委员会公司金融部门的负责人。

3. 让质押在美国蓬勃发展

——Ji Kim 和 Alison Mangiero

质押(Staking)——让用户参与维持和保障特定区块链网络——具有革命性的潜力。以下是美国证券交易委员会(SEC)可以采取的五个步骤,确保质押行业蓬勃发展。

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「美国应该引领创新,聚焦如何让这些「金融」基础设施更加高效、安全和易于访问。」

Ji Kim 是创新加密委员会(Crypto Council for Innovation)的总裁兼临时首席执行官。此前,他曾担任该集团的首席法律与政策官,并拥有 15 年的技术公司法律顾问与政策执行经验。

Alison Mangiero 是 Proof Of Stake Alliance(质押联盟)的执行董事,该项目隶属于创新加密委员会,致力于倡导明确且具有前瞻性的公共政策,促进质押行业的创新。此前,她创办了 Tocqueville Group,一个为区块链网络 Tezos 创建开源软件和其他公共产品的实体。

4. 结束大规模金融监控时代

——Grant Rabenn

1970 年的《银行保密法案》创建了一个庞大的金融记录数据库——FinCEN 数据库——将我们的敏感个人数据置于风险之中。区块链技术提供了一种更好的前进道路。

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「《银行保密法案》催生了一个庞大的监管 - 产业复合体,要求美国金融机构对客户进行日常监控。」

Grant Rabenn 是 Coinbase 国际法律合规部门(亚太及美洲地区)的负责人。在加入 Coinbase 之前,Grant 曾在联邦政府担任了十年的检察官,专门处理洗钱和网络犯罪案件,并主导了政府涉及加密货币的早期调查。

5. 任何人都可能被去银行化。去中心化金融(DeFi)是一个关键的安全网

——Katherine Minarik

当你失去对家庭主要银行账户的控制——没有任何解释或申诉途径时,会发生什么?自我托管加密资产能够在传统金融失败时提供一条生命线。

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「那家银行已经无限期冻结了我们所有的账户。我们的银行工作人员不能告诉我们任何更多的信息。甚至无法告知我们是否、如何或何时能够取回我们的资金……这让人感到极度恐惧。」

Katherine Minarik 是 Uniswap Labs 的首席法律官。在此之前,她曾在 Coinbase 担任副总裁及副总法律顾问,负责全球诉讼事务。

6. 是时候将资产上链了

——Jenny Cieplak

「代币化」是一种数字化资产记录的方法,通常是在区块链上进行——这一做法有可能极大地现代化金融基础设施。如果美国证券交易委员会(SEC)停止任意禁止这些资产上链,传统金融机构就能从中受益。

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「理论上,这本应打开使用最新且最先进技术的大门——包括区块链和分布式账本技术。」

Jenny Cieplak 是 Latham & Watkins LLP 的合伙人,专门为金融科技和金融服务客户提供新技术开发和部署的咨询。她的工作实践融合了行业监管、前沿技术和金融服务的交汇点。

7. 为什么司法部对 DeFi 的行动是一场灾难

——Miller Whitehouse-Levine 和 Amanda Tuminelli

所有其他政策和法律问题必须从一个核心问题出发:谁在掌控?一些针对 DeFi 协议的起诉建立在对控制者身份及其控制程度的错误假设之上,造成了对区块链发展的不必要伤害。

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「将责任归咎于汽车制造商对其车辆用户的不当驾驶行为,显然是没有道理的,同样的道理也适用于将汽车制造责任强加给驾驶员。」

Miller Whitehouse-Levine 是 DeFi 教育基金的首席执行官。在此之前,他曾领导区块链协会的政策运营,并在 Goldstein Policy Solutions 从事涉及加密货币等多个公共政策问题的工作。

Amanda Tuminelli 是 DeFi 教育基金的首席法律官,负责领导影响力诉讼和政策工作。此前,她曾在 Kobre & Kim 担任律师,为客户辩护,处理刑事和监管调查、政府执法行动以及大规模诉讼,尤其是在加密货币和区块链领域。

8. 为什么我们需要去中心化的稳定币

——Luca Prosperi

中心化的稳定币已经成为 DeFi 的支柱,但它们依赖于传统金融中介。去中心化稳定币可以作为可靠、高效、无需信任的系统,减少对托管型金融中介的依赖。

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「这一所谓的去中心化稳定币的世界,不仅有可能彻底改变我们创造货币的方式,实际上还可能革新整个金融中介体系。」

Luca Prosperi 是 M^0 的联合创始人兼首席执行官,该项目致力于去中心化稳定币基础设施的建设。此前,他在 DeFi 项目 MakerDAO 负责借贷监管,并在 Dirt Roads 发表研究。

9. 重新思考美国证券交易委员会(SEC)的规则制定:为什么加密货币需要自己的规则

——Scott Walker

将为传统证券市场制定的规则套用到加密货币上并不总是合理的,但 SEC 却像是这么做的。现在,SEC 有机会采纳一种量身定制的规则制定方法,这将有助于区块链技术的蓬勃发展,同时保护投资者和消费者。

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SEC 经常因其在加密货币相关事务中的「执法式监管」而受到批评,但更少有人关注到它的「规则扩展式制定」——即将为其他市场或产品制定的规则直接套用到新兴技术领域——同样也是适得其反的。」

Scott Walker 是 Andreessen Horowitz 的首席合规官。在此之前,他曾担任美国证券交易委员会(SEC)监管部门的数字资产与区块链技术高级专家,并在贝莱德(BlackRock)担任副总裁及法律顾问,专注于衍生品、主经纪业务和证券融资交易。

10. 美国如何从有效的加密货币税收政策中受益

——David Kerr

鉴于税法的复杂性以及去中心化系统所需的创新型组织结构,政策制定者在有效地制定关于数字资产报告要求和税务处理规则时遇到了不小的困难。然而,本次立法会议为美国重新夺回领导权提供了历史性机遇,因为加密货币正在重塑全球金融体系,并且影响着互联网的未来。

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「美国是写下 21 世纪互联网规则的人,还是只能在旁观中看别人收获成果?」

David Kerr 是 Cowrie LLC 的负责人,他拥有 10 年的税务战略、财务会计和风险咨询经验,曾在游戏、电信和技术驱动的在线销售平台等行业为客户提供风险规避策略,专注于 Web3 问题的开发。

11. 美国应该实施比特币战略储备吗?

——Christian Catalini

最近提出的比特币战略储备是一个很好的起步——但它仅仅是一个开始。还有一个机会:利用比特币连接全球金融体系中的冲突部分,同时保持美国的主导地位。

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「但真正的机会并不在于单纯储备比特币;而是在于将其融入全球金融体系的方式,这种方式能够强化美国的经济领导地位,而不是削弱它。」

Christian Catalini 是 Lightspark 的联合创始人,也是麻省理工学院(MIT)加密经济学实验室的创始人。

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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.

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What is AGENT S

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