纳斯达克综合指数有望创下 2020 年以来最大单日百分比跌幅，比特币能否挺过此次崩盘？

2025 年 3 月 10 日，欧洲稳定机制董事总经理皮埃尔·格拉梅尼亚 (Pierre Gramegna) 表达了他对美国政府支持加密货币路线和以美元计价的稳定币可能对欧盟金融稳定和主权造成的危害的担忧。 Gramegna 最近就美国加密政策对欧元区经济的潜在影响所发表的评论与 Facebook 的 Libra/Diem 故事有关。由于法律纠纷以及政府机构对加密货币的整体谨慎态度，Facebook 未能推出其加密货币。 你可能还喜欢：据报道，Meta 的稳定币项目 Diem 正考虑出售所有资产 在欧元集团新闻发布会上，格拉梅尼亚表示，科技巨头可能会尝试推出自己的加密货币，就像 Facebook 在 2019 年至 2022 年尝试过的那样。鉴于现任政府大胆支持加密货币，将支持加密货币与全球领导力联系起来，可能会出现类似于 Libra/Diem 的新举措。 路透社援引格拉梅尼亚的话说： 美国政府在这方面的立场与过去相比有所转变：美国政府对加密货币尤其是以美元计价的稳定币持青睐态度，这可能引起欧洲的一定担忧，担心这可能会重新点燃外国和美国科技巨头推出基于美元计价的稳定币的大众支付解决方案的计划。 这个威胁是真实存在的吗？ 格拉梅尼亚认为，拥有数百万甚至数十亿受众的即时通讯工具或社交媒体平台推出的支付系统可能会严重影响欧盟的金融稳定甚至主权。 截至 2024 年 11 月，平均每天有 2.6 亿用户使用 Facebook。截至 2025 年 3 月，欧盟人口已超过 7.44 亿。这意味着几乎 35% 的欧盟人口每天都在使用 Facebook。欧洲的 Instagram 每日用户数量甚至更多。 难怪一家在美国注册的公司为这些人提供即时跨境支付工具的想法看起来可能会带来不稳定。假设许多欧洲人发现使用社交媒体平台和即时通讯工具而不是银行卡付款更方便。在这种情况下，新的支付系统可能会从欧元中抽走大量流动性并将其重新导向美国经济。更重要的是，任何科技巨头发行的支付系统都可能存在严重的集中化问题，从而对技术安全造成潜在威胁。 此类项目（如果发生）是否会对欧元区构成生存挑战？从理论上讲，确实如此，但在实践中，欧洲国家可能会阻止此类支付系统在其管辖范围内部署，就像 Facebook 试图推出 Libra 时他们已经做的那样。 2019 年的言论也大体如此。欧洲官员表示，为了保护金融主权，他们需要在本国封锁 Facebook 的 Libra。BBC 援引当时法国财政部长 Bruno Le Maire 的话称，Libra“从拥有 20 亿用户的那一刻起就代表着系统性风险”。他警告称，Libra 系统运行的潜在故障或储备管理问题可能会导致严重后果。他总结道：“人们对 Libra 的担忧非常严重。因此，我想非常清楚地说：在这种情况下，我们不能授权在欧洲土地上开发 Libra。” 美国可能会支持“下一个 Libra”，但它能否成功突破欧盟保护主义者的法律壁垒？即使欧盟成功阻止此类举措，在其他地区实施此类支付系统也可能会拓宽美国影响力的机会走廊，同时缩小包括欧洲在内的竞争对手的机会走廊。 潜在解决方案 欧洲央行数字货币 (CBDC) 是主流且可能是唯一可行的替代美国流行稳定币的解决方案。欧洲央行自 2020 年以来一直致力于数字欧元项目。格拉梅尼亚明确将欧洲自治与欧盟 CBDC 的引入联系起来，并在演讲中称数字欧元的工作刻不容缓。他说：“数字欧元在今天比以往任何时候都更有必要。” Gramegna 甚至表示，有可能“重新审视 MiCA 指令，这可能成为抵消我们讨论过的一些影响的关键”。在欧洲，CBDC 应该取代 Visa 和 PayPal 等系统，摆脱美国的影响。 你可能还喜欢：MiCA 下的加密货币：发生了什么变化以及对投资者和公司意味着什么 欧洲本可以通过支持以欧元计价的稳定币来应对，但目前这一举措的统计数据并不乐观。Tether 的 Tether 的 USDT 和 Coinbase 的 Coinbase 的 USDC 已经占据了稳定币的主导地位。相比之下，与欧元挂钩的稳定币在市值和需求方面远远落后，我们很难称它们为竞争对手。根据 Coinmarketcap 的数据，前 11 个最大的稳定币（按市值计算）与美元挂钩。第 12 大稳定币是与欧元挂钩的 Stasis Euro。从市值来看，它是第 258 大加密货币。在市值最大的 30 种稳定币名单中，EURC、Tether Euro 和 Euro Vertible 是仅有的其他与欧元挂钩的稳定币。以美元计价的货币占据了压倒性优势。 这并不意味着欧洲无法利用与欧元挂钩的稳定币，但这意味着起点远非有利。数字欧元的情况则截然相反。随着美国禁止发展 CBDC，欧洲可能会成为自由世界在使用 CBDC 方面的领导者。 你可能还喜欢：CBDC 必须缩小新旧金融体系之间的差距 | 观点

Libre Capital 是一家受监管的现实世界资产的链上基础设施平台，目前正在与 Chainlink 合作，以扩大其代币化基金的采用。 Libre Capital 团队在 4 月 8 日的公告中透露，将利用 Chainlink（LINK）标准，包括 Chainlink 跨链互操作性协议和储备证明，将现实世界的资产上链。 该平台通过 X 表示，Libre 将使用 Chainlink 技术为代币化基金提供支持，这些基金可为全球资产管理巨头贝莱德和野村集团旗下加密部门 Laser Digital 的投资基金提供敞口。 除了链上访问之外，Chainlink 的标准对于 Libre 的资金分配也至关重要，其透明度和安全性是其主要优势。随着去中心化金融和 RWA 日益成为全球投资战略的重要组成部分，Chainlink SmartData 和 NAVLink 也将支持 Libre Capital 的扩张。 Libre Capital 团队指出：“这些工具为代币化基金解锁了强大的用例，包括自动化风险管理和 DeFi 集成。DeFi 协议可以围绕经过验证的链上储备和资产净值数据构建。” 你可能还喜欢：随着 Sui 和 Libre Capital 拓展区块链金融业务，代币化基金开始上链 今年早些时候，Libre 扩展了其 web3 协议，旨在在 Injective 上发行和分配基金。 据该平台称，在 Injective 区块链上推出后，机构投资者和合格投资者可以利用链上投资基金、对冲基金、私人信贷和货币市场基金。除了 Laser Digital 的代币化 Laser Carry Fund 外，它还允许链上访问主要资产管理公司的基金，例如贝莱德、汉密尔顿莱恩和 Brevan Howard。 Libre 最近还利用了互操作性协议 LayerZero，旨在加速机构采用代币化基金。此次整合使 Libre 能够将其产品扩展到 120 多个利用 LayerZero 互操作功能的区块链，包括以太坊、Solana 和 Aptos。 这些合作伙伴关系和整合使 Libre 成为另类资产的关键平台之一，这得益于它与一些全球最大的资产管理公司和财富顾问的合作。 你可能还喜欢：贝莱德将 Anchorage Digital 指定为比特币 ETF 的托管人

Cheqd, DataHive, Nuklai, and Datagram have launched the Sovereign AI Alliance, a new initiative aimed at developing an open-source framework for decentralized artificial intelligence using user-owned data. Announced on May 1 via a press release shared with crypto.news, the alliance will focus on building technical infrastructure that supports privacy-preserving AI systems. At the core of the project is the proposed Intention Network Protocol which aims to enable AI agents to collaborate securely without compromising user control over personal data. INP is structured around three key components: “Intention Anchors” to capture user inputs with data ownership guarantees; the “Intention Mesh,” a decentralized environment for AI communication; and “Execution Nodes,” which act on user intentions with built-in privacy protections. The alliance also outlined a broader roadmap that includes decentralized data storage, open-source AI models, and tools for AI agents to transact and collaborate autonomously. According to the founders, this effort is meant to move the data economy from “attention-based” to “intention-based,” with users at the center. You might also like:Bitcoin miners may find better returns in AI than crypto, Novogratz’s Galaxy Digital suggests Why this alliance matters SAIA enters the scene as scrutiny intensifies over centralized AI models’ use of personal data while regulators in Europe and beyond demand more transparency and user control. Fraser Edwards, CEO of cheqd, told crypto.news in an interview that current AI models often trade in user data without meaningful consent. “Users pay with their personal data, which is extracted, aggregated, and commodified,” he said. The alliance’s approach, according to Edwards, enables users to selectively share data, potentially monetize it, and maintain the ability to revoke access, offering a level of control that centralized platforms struggle to provide. While previous efforts to “pay users for data” have stumbled, SAIA’s architecture is designed to treat user data as a reusable and verifiable asset within a consent-based ecosystem. It also includes compliance-focused tools, such as audit trails and selective disclosure, to help applications meet global privacy standards like GDPR. A full Q&A with Fraser Edwards on SAIA’s plans, challenges, and user incentives follows below. You might also like:Bradley Tusk: U.S. leads in AI innovation, China leads in cheap production crypto.news: The Sovereign AI Alliance’s vision is to build open-source, decentralized AI frameworks with user-owned data. That sounds interesting in theory, but what advantages will this deliver over Big Tech’s AI offerings? AI services are offered for free “for free” by trading their data and this has been accepted as normal for years by the vast majority of people. Why would users and developers switch to a self-sovereign model? What real incentive (monetary, privacy, or otherwise) makes your user-owned data approach compelling enough to drive adoption?Fraser Edwards: The core advantage of the Sovereign AI Alliance’s model is alignment. AI that works for you, not for platforms monetising your attention or data. Today’s “free” AI tools aren’t truly free. Users pay with their personal data, which is extracted, aggregated, and commodified, often in ways that can’t be controlled or audited. This fuels engagement driven systems that prioritise virality and retention over individual benefit.A real world example is the backlash against Meta’s AI being embedded into WhatsApp. Despite Meta’s claims of respecting privacy, users can’t turn it off, and few trust the company to act in their best interests. This erodes confidence in Big Tech’s data stewardship. In contrast, Sovereign AI is built around user-owned data, where individuals control how their information is used, shared, and monetised. The self-sovereign model empowers people to own their digital selves in a way that Big Tech can’t offer without dismantling its entire business model. For AI to be truly personalised and useful, it needs access to rich, cross-contextual data with full permission. If data is siloed across platforms, AI remains limited and impersonal. Sovereign AI enables intelligent systems that are both more powerful and more respectful of the people they serve. This model enables three incentives to drive adoption: Privacy by Design: Data isn’t siphoned into opaque corporate systems. Instead, it remains in users’ control via decentralised identity and storage infrastructure. Monetary Incentive: With frameworks like cheqd’s payment rails, users and developers can receive compensation for sharing verified data or training AI agents, creating a real data economy. Real Personalisation: Personal AIs and agents, like those being developed by DataHive, can act on your behalf based on your true intentions, not what maximises ad revenue.” CN: A core idea here is that individuals control (and potentially monetize) their own data. However, many past projects promised “get paid for your data” and struggled, partly because an average user’s data isn’t worth much at an individual level or worth the time. How will SAIA change that equation? Are you planning to reward users directly for contributing data or AI training feedback, or is the benefit more indirect (e.g. better personalization and privacy)? If users can’t earn significant income, what’s the draw for them to proactively share and manage their data in this network?FE: It’s true that past “get paid for your data” models often failed because they treated data like a one-off commodity rather than part of an ongoing, intent driven ecosystem. The Sovereign AI Alliance changes the equation by reimagining data as a reusable, high-value asset within a decentralised, intention-based AI framework. For cheqd, we approach this by enabling individuals to control and reuse their own data, but just as importantly, we’re building the infrastructure that incentivises companies and data siloes to release that data back to individuals in the first place. Rather than promising quick micro rewards for isolated data points, cheqd’s infrastructure supports a model where users can selectively share verified, reusable data, such as credentials, preferences, or consent, on their terms. This opens up the potential for more meaningful long term value, whether that’s in personalised AI services, selective monetisation, or simply better control. The real shift is in rebalancing power: making it viable for users to take their data with them and use it across different AI systems, without being trapped in siloes.” CN: With user-owned data at the center, how are you addressing privacy and compliance from the start? If personal data is being used to train or inform AI models, do users have fine-grained control and the ability to opt-out or revoke data? Recent regulatory actions show this is critical – e.g. Italy’s data protection authority temporarily banned ChatGPT over the “absence of any legal basis” for its mass collection of personal data for training. How will SAIA’s approach differ in handling user data so that it remains compliant with privacy laws (GDPR and others) and ethical norms?FE: Compliance and privacy are fundamental to SAIA’s architecture. The foundation of SAIA is user sovereignty by default, without the need for central data silos, in contrast to typical AI models that collect data in bulk without meaningful consent. Data stays under user controlUsers can grant, revoke, or limit access to their data at any time leveraging decentralised identity (cheqd) and storage protocols (Datagram and others). This mechanism is in line with GDPR notions like data minimisation and the right to be forgotten. Consent is explicit and revocableWe aredevelopingsystems that allow users to express explicit consent to the usage of their data, such as for credential sharing, agent interactions, or AI training. With verifiable consent records and intention-specific use cases, legal foundation and traceability are guaranteed. Built-in compliance toolingWe’re creating embedded compliance features, like audit trails, data provenance, and selective disclosure, so that AI agents and applications using SAIA’s framework are not just privacy-aligned but provably compliant with global regulations.” CN: cheqd brings decentralized identity (self-sovereign identity / SSI) and verification infrastructure to the alliance. How will SSI be included into the AI framework? For instance, will Intention Anchors use digital identities to verify data provenance or the reputation of AI agents? And given that decentralized identity is still nascent, even identity experts note that adoption is the biggest challenge due to added complexity for users and organizations​, how will you encourage and bootstrap the use of SSI within SAIA?FE: “SSI plays a key role in the Sovereign AI Alliance’s architecture. It is the layer of trust that connects AI agents, people, and data. Here is how we intend to get beyond adoption obstacles and how cheqd’s decentralised identity infrastructure fits into the framework. This also applies to AI agents themselves: by issuing verifiable credentials to agents, we can establish reputation, capability, and authenticity. This is vital for trust in agent-to-agent or agent-to-user interactions. Adoption is indeed the biggest challenge for SSI today. Whilst cheqd is at the infrastructure layer, DataHive is directly customer facing, thus offering a solution to consumers themselves which they can then bring their data into.” 

蒙大拿州众议院商业和劳工委员会提出了一项法案，旨在建立允许投资比特币、贵金属和稳定币的储备金。 众议院第 429 号法案由众议员柯蒂斯·肖默提出，于 2 月 7 日首次提交众议院，并于 2 月 19 日以 12 票对 8 票的委员会投票扫清了第一道重大障碍。尽管遭到民主党人的一致反对，但该法案获得了足够的共和党人支持，得以继续推进。 现在，该法案将提交蒙大拿州众议院全体表决。如果该法案获得通过，将提交州参议院进行进一步辩论和批准。之后，该法案需要州长签署才能成为法律。 如果获得通过，蒙大拿州将设立一个州特别收入账户，专门用于投资数字资产、贵金属和稳定币，作为更广泛的储备战略的一部分。 The bill authorizes the state treasurer to transfer up to $50 million from the general fund into this account by July 15, 2025. These funds would be managed by the Montana Board of Investments and allocated to assets deemed suitable under the bill’s criteria. You might also like:蒙大拿州通过“矿权”提案 该法案将数字资产定义为虚拟货币、加密货币、稳定币和其他具有经济或所有权的区块链资产。然而，要获得投资资格，数字资产的市值必须超过 7500 亿美元（按上一历年平均计算），目前只有比特币符合这一要求。 该法案的修正案取消了此前关于资产必须由合格托管人或通过交易所交易基金持有的要求。这一变化扩大了州政府管理投资的方式，允许更直接地持有资产。 蒙大拿州加入了越来越多探索比特币储备的美国州的行列，伊利诺伊州、新墨西哥州、北达科他州、俄亥俄州、宾夕法尼亚州、南达科他州和德克萨斯州等州也推出了类似的法案。 到目前为止，犹他州仍然是唯一一个在众议院通过比特币储备法案的州。据 Satoshi Act Fund 首席执行官丹尼斯·波特 (Denis Porter) 称，由于立法日程较短，犹他州可能成为美国第一个建立比特币储备的州。 相反，在国家层面建立比特币储备的可能性似乎正在减弱。一项涉及超过 700 万美元资产的 Polymarket 民意调查显示，唐纳德·特朗普在上任 100 天内建立战略比特币储备的可能性仅为 10%，远低于 1 月份的 40%。 阅读更多：蒙大拿州参议院颁布立法保护加密货币矿工免受剥削

美国最大的加密货币交易所 Coinbase 已向美国第二巡回上诉法院提交了一份请愿书。 该公司正在寻求法院裁定其平台上进行的加密货币交易不受联邦证券法的约束。 据彭博社报道，此次法律诉讼源于与美国证券交易委员会的持续纠纷，该委员会于 2023 年起诉 Coinbase 涉嫌作为未注册的证券交易所运营。 本案的核心问题是数字代币是否符合美国法律规定的证券资格。股票和债券等证券受美国证券交易委员会监管，以确保投资者的保护。 如果加密代币被归类为证券，像 Coinbase 这样的平台将需要在美国证券交易委员会注册，这将施加重大的合规义务和限制。 你可能还喜欢：特朗普上任，比特币战略储备悬而未决，下一步该怎么做？ Howey 检验 关键的法律问题围绕“豪威测试”展开，这是最高法院于 1946 年建立的一个框架，用于决定一项交易是否有资格成为“投资合同”。 Coinbase 认为其平台上的加密货币交易不符合豪威测试中概述的标准。该公司辩称，这些交易涉及匿名买家和卖家之间直接出售数字资产，没有任何共享利润或共同企业的承诺。 最近，纽约一名联邦法官允许 Coinbase 直接向更高一级法院上诉，同时暂停美国证券交易委员会的诉讼。 该公司表示，解决这个问题对于加密货币行业至关重要，在拜登政府的领导下，该行业面临着更严格的审查和执法行动。 与此同时，在特朗普政府代理主席马克·乌耶达 (Mark Uyeda) 的领导下，美国证券交易委员会的领导层已经发生了变化。