SWIFT:简化数字资产和货币的全球流动,我们在行动

深潮Published on 2024-09-16Last updated on 2024-09-16

我们的愿景是让我们的成员能够利用他们的 Swift 连接进行互换交易,使用现有和新兴的资产和货币类型。

作者:Payments

编译:深潮TechFlow

深潮注:

SWIFT(环球同业银行金融电讯协会,Society for Worldwide Interbank Financial Telecommunication)是一个全球性金融通信网络,为银行和金融机构提供标准化、安全的通信网络。作为全球跨境支付和金融信息传递的中枢,SWIFT 连接了 200 多个国家的 11,000 多家机构,确保国际交易的高效运作。它不仅通过统一的消息格式降低了跨境交易的复杂性和风险,还推动了数字资产和新兴货币的互操作性,为全球金融市场的创新提供了强有力的支持。本文回顾了 Swift 的重要实验成果,并展望了其在数字资产与央行数字货币(CBDC)领域的未来发展方向。

我们正在开辟通往现实世界解决方案的道路,这将让我们的成员能够在 Swift 网络上访问和交易受监管的数字资产和货币。这是在近年来与我们的社区进行的一系列开创性实验之后,我们现在正进入下一个阶段。

人们对数字资产和货币的兴趣持续增长,过去两年让我们对这些发展在行业中的潜在价值有了更清晰的认识。

数字资产增长的预测各不相同。例如,渣打银行和 Synpulse 最近估计,到 2034 年,现实世界的代币化资产市场规模将达到 30 万亿美元。根据 Celent 和 BNY Mellon 的一项调查,市场情绪非常强烈,91% 的机构投资者对投资代币化资产感兴趣。

我们的愿景是让我们的成员能够利用他们的 Swift 连接,使用现有和新兴的资产和货币类型进行交易。

消除数字孤岛

然而,在数字资产和货币真正能够在全球范围内规模化之前,必须克服一些挑战。其中最重要的是,支撑数字创新的不同平台、技术和监管环境的增长。这导致了碎片化的“数字孤岛”生态系统的形成,增加了市场参与者在操作中的成本和风险。

例如,机构投资者由于面临多种代币化平台的复杂性,无法扩大他们的数字资产业务。而在数字货币方面,尽管最新的Atlantic Council 数据显示,目前有超过 130 个国家和货币联盟正在探索中央银行数字货币 (CBDC),但仍需进行大量工作以将这些新兴货币融入更广泛的全球经济。

推动全球互操作性

在过去的 50 年里,Swift 在促进全球互操作性和实现快速、无摩擦、安全交易方面发挥了重要作用。随着我们进入战略的下一个阶段,我们将继续增强与新系统、技术、资产和货币的互操作能力。

在我们的创新实验室中,我们已经进行了多年积极探索,将全球互操作性扩展到中央银行数字货币 (CBDC) 和代币化资产的潜在解决方案。最近,我们汇聚行业力量,开展了一系列突破性的研究项目,探讨现有的 Swift 能力和基础设施如何有效支持不同资产类别和网络类型之间的互操作性。

我们成功的区块链互操作性实验证明了 Swift 的基础设施如何促进代币化价值在公共和私有区块链之间的转移。我们的第一阶段第二阶段中央银行数字货币 (CBDC) 沙盒项目——与来自欧洲、亚洲和北美的领先中央银行和商业银行合作开展——证明了我们如何在不同网络上连接 CBDC,并将多个资产和现金网络连接起来。

现在我们将目标提升到更高的层次

我们的愿景是让我们的成员能够利用他们的 Swift 连接进行互换交易,使用现有和新兴的资产和货币类型。

我们在使用法定货币和证券工具进行交易方面有着良好的业绩,作为一个值得信赖和高效的中央平台。现在,我们正在进一步发展我们的基础设施,以便为我们的成员提供对新兴数字资产类别和货币的平等访问,涵盖支付、证券、外汇、贸易等多种应用场景。

基于我们的经验,我们正在为现实世界的解决方案铺路,这些解决方案能够互联各种形式的数字资产和货币——包括计划测试在 Swift 的安全全球平台上实现多账本交付对支付 (DvP) 和支付对支付 (PvP) 交易。在未来,这可能使证券买家能够在我们的网络上实时支付和交换代币化资产。

缺乏全球公认的数字货币,DvP 结算执行中的现金部分特别具有挑战性。因此,我们正在寻找将代币化资产结算与在 Swift 网络上进行的相应支付转移连接的方法。支付部分最初将使用现有的法定货币,但以后将能够使用代币化货币形式,例如中央银行数字货币 (CBDC)、代币化商业银行货币或受监管的稳定币。

最后,我们还在测试我们的互联能力作为技术解决方案,用于将新兴的银行主导的网络(例如美国监管结算网络)与其他金融基础设施互联。

接下来会发生什么?

虽然已经取得了很多成就,但还有很多工作要做。

我们将继续与金融社区合作,开发实现数字资产和货币互操作性及访问所需的技术解决方案。在接下来的几个月里,我们还将探讨实施对工作流程、标准和市场实践要求的影响,以实现规模——在 2024 年的 Sibos 会议之前将提供更多信息。

我们对数字资产和货币在我们网络上的未来感到兴奋,并将继续与我们的社区合作,推动这一领域的进展。

Related Reads

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

"World Model" has become a widely used yet ambiguous term in AI. Drawing from the classic POMDP framework (agent → action → state → observation), this article proposes a functional taxonomy to clarify the concept. It identifies three distinct types, categorized by their output in the perception-action loop: 1. **Renderers**: Output visual observations (pixels). These models, like advanced video generators, prioritize visual fidelity but often lack underlying physical accuracy. 2. **Simulators**: Output the state of the world (geometry, physics, dynamics). They provide a structurally accurate representation for professionals (e.g., architects) and serve as training environments for robots and AI agents. 3. **Planners**: Output actions. Given an observation and a goal, they determine what an agent should do next, closing the perception-action loop (e.g., vision-language-action models). While renderers are currently the most commercially mature and planners are the most aspirational, the article argues that **simulators are the crucial, underappreciated hub**. By working at the level of geometry and physics, a simulator can project upwards to create visuals for humans and downwards to predict action consequences for agents. The future lies in the convergence of these three functions. Emerging research and products, like World Labs' Marble model which outputs both visual splats and physical collision meshes, are beginning to blur these boundaries. The logical endpoint is a unified world foundation model capable of rendering, simulating, and planning based on a shared understanding of spatial and temporal structures—ultimately enabling machines to understand, imagine, and interact with the physical world.

链捕手11m ago

Li Feifei's Latest Article: When Video Generation, Robotics, and NVIDIA All Claim to Have 'World Models,' We Need a Taxonomy

链捕手11m ago

Doubao and Qwen Will Discontinue Agent Functionality on July 15

On July 4th, Doubao and Tongyi Qianwen announced the impending shutdown of their user-created "AI Agent" features. Doubao confirmed its agent feature will be taken offline on July 15, directing users to ByteDance's CatBox app for similar needs. On the same day, Tongyi Qianwen notified users, specifying that personalized interactive agents and user-built agent functions will cease on July 10, with all agent features and services completely deactivated by July 15. After this date, access to agent configurations and historical chat records will be lost. This adjustment impacts core user scenarios like role-playing, personal assistants, and vertical tool agents. The shutdown date coincides with the official implementation of China's "Interim Measures for the Administration of Artificial Intelligence Human-like Interactive Services" on July 15. The new regulations impose strict rules on "human-like emotional interaction services," requiring platforms to implement measures like anti-addiction systems, minor verification, and content moderation. This move is widely seen as a proactive step by the platforms to align with regulatory timelines and mitigate compliance risks. Additionally, commercial challenges are a key driver. Analysis suggests that casual, human-like chat agents generate high-frequency, low-value interactions, leading to high computational costs with poor monetization. As the AI application market shifts from user growth to proving value, sustaining such "high-cost, low-efficiency" user-generated content becomes difficult. Both platforms have outlined transition plans. Doubao will allow data viewing and self-backup for a period after shutdown, with data scheduled for permanent deletion by October 15. Tongyi Qianwen similarly advised users to save important content via copying or screenshots before the deadline. This strategic retreat from C-end agent features signals a broader market shift. Compliance capability and sustainable business models are replacing user scale and feature richness as the new core competitive dimensions. Tongyi Qianwen's recent move to fully open its Agent and Skill platforms to third-party enterprises and developers further underscores a strategic pivot from low-value C-end services to high-value B-end enterprise scenarios.

marsbit3h ago

Doubao and Qwen Will Discontinue Agent Functionality on July 15

marsbit3h ago

Trading

Spot
活动图片