火星早报|昨夜今晨要闻 (8月16日)

marsbitPublicado em 2024-08-15Última atualização em 2024-08-16

DeFi

Circle为稳定币提出新的资本风险框架

Circle最近发布了一份题为“稳定价值代币的风险资本”的白皮书,提出了针对稳定币和其他数字现金代币的新型基于风险的资本管理模式。白皮书作者认为,稳定币需要充足的资本储备要求,这种要求超出了巴塞尔银行监管框架下建立的现行资本标准,以减轻稳定币、其他法定等价代币及其发行人特有的风险。据作者介绍,这些独特的风险包括但不限于由于市场交易和二级市场的盛行导致代币价格下跌,随后因过度抛售而导致的数字代币“挤兑”,操作风险和技术风险。

美联储9月降息25个基点的概率升至74%

据CME“美联储观察”,美联储9月降息25个基点的概率为74%,降息50个基点的概率为26%。美联储到11月累计降息50个基点的概率为63.8%,累计降息75个基点的概率为32.6%,累计降息100个基点的概率为3.6%。

比特币今日与美股走势相悖可能与加密市场对Mt.Gox清算和分销的担忧有关

财经网站Forexlive分析师Adam Button认为,加密市场通常是股市情绪的领跑者,但这并非今天的情况。比特币价格下跌3%,但股市处于当日高点,纳指100上涨2.5%。这种分歧可能与加密市场对Mt.Gox清算和分销的担忧有关。无论如何,纳指现在几乎回到了7月31日的收盘水平。当时美联储决议令纳指大幅反弹,但随后出现了残酷的全球崩盘。纳指自上周一以来的反弹非常显著,尤其是与8月5日的盘中低点比较,纳指已经较当时上涨了12%,对大多数基金经理来说,这是一整年的丰厚回报。这一反弹交易背后的部分原因是人工智能交易的新生,但这主要是因为人们重新燃起了信心,认为全球经济增长状况良好。

13F报告:701只新基金持有现货比特币ETF

在周三提交第二季度 13F 报告的截止日期后,有 701 只新基金报告持有比特币现货 ETF,使持有者的总数接近 1,950 支。 

对冲基金、养老金和银行继续大量投资比特币现货 ETF,因为更多的传统投资者开始接受这一资产类别。Capula Investment Management、Schonfeld Strategy Advisors 和 Steven Cohen 的 Point72 Asset Management 也报告了 ETF 的持股情况。其他买家包括威斯康星州投资委员会以及从香港到开曼群岛、加拿大和瑞士等地的公司做市商。

小唐纳德·特朗普为其加密项目开通Telegram频道“The DeFiant Ones”

小唐纳德·特朗普(Donald Trump Jr.)在X平台宣布开通Telegram频道“The DeFiant Ones” ,介绍即将推出的加密项目。他在X 上的一篇帖子中说:“关于我们的加密项目有很多谣言。要了解真实情况并及时了解官方公告,请加入我们的官方 Telegram 频道。不要依赖猜测–直接在这里获取新闻!” 

该频道的名称“The Defiant Ones”与最近的商标申请相符,7 月,一家名为 AMG Software Solutions 的公司为“Be DeFiant”、“World Liberty”和“World Liberty Financial”提交了商标申请。根据其申请,这第三个商标用于“在去中心化金融 (DeFi) 领域提供金融信息”。

开发者Robin Linus发布“BitVM2”以提升比特币可编程性

比特币开发者Robin Linus发布了“BitVM2”,这是去年“BitVM”范式的改进版本,旨在提升比特币的可编程性,并推动这一概念更接近现实应用。“BitVM2”引入了“无需许可的挑战”功能,允许任何人质疑可疑交易,解决了原版中的关键不足。该项目通过使用高级密码学和新设计,创建一个安全的“桥梁”,使比特币能够从主网络转移到“rollups”辅助网络上,并最终返回主网络。Linus的项目因不需要对比特币底层代码进行更改而被视为一项突破。新的设计简化了桥梁操作,提升了资本效率,预计将为比特币生态系统带来更广泛的应用前景。

一周涨超140% 是什么造就了Sui?

Sui代币近期大幅反弹,一周涨幅超过140%,引发社区热议。Sui是一个无需许可的权益证明区块链网络,旨在实现横向扩展,投资者认为其有潜力成为下一个Solana杀手。Sui上涨的原因可能是内部因素和外部因素共同作用,如顾问委员会成员的支持、大额场外交易需求、持有者信心强劲、价格走势积极以及Mysiceti性能升级带来的新应用。但Sui需要打破下行趋势才能与SOL相比,其是否能成为下一个大热门还需观察。

为什么说Orderly Network是DeFi的未来

以太坊ETF获批,但价格未上涨,可能8月有帮助。Orderly Network基于OP堆栈和Celestia的EVM链,提供流动性层和SDK,从而解决DeFi流动性问题。它通过链上订单簿提供平台,帮助dApps构建,保持无缝操作,促进流动性,提供全链SDK。Orderly计划分裂为开发实体和监督协议的基金会,推出隔离保证金和多抵押品功能,增强交易灵活性和安全性。创始人拥有25年经验,已获得2000万美元投资。Orderly Network是一个Layer 2解决方案,结合了CEX的速度和流动性,以及DeFi的透明度、去中心化和即时结算。

5 个你值得关注的潜力 AI 项目

牛市是一场马拉松,2025年的大赢家可能仍然不为人知。我密切关注的五个项目:Nillion为互联网私有数据构建基础层,Grass Network利用超过200万用户的带宽增强Solana区块链上的人工智能训练,Ritual Network将人工智能引入链上,Allora Network旨在使先进的AI民主化,Peaq Network是专门为去中心化物理基础设施网络设计的L1区块链。关注这些项目,或许能发现提升收益的新方法。



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The article explores the intense competition between two leading Chinese AI companies, DeepSeek and Kimi (Moon Dark Side), and the mounting pressure on Yang Zhilin, the founder of Kimi. While DeepSeek re-emerged after 15 months of silence with its powerful V4 model—boasting 1.6 trillion parameters and low-cost, long-context capabilities—Kimi has been focusing on long-context processing and multi-agent systems with its K2.6 model. Yang faces a threefold challenge: technological rivalry, commercialization pressure, and investor expectations. Despite Kimi’s high valuation (reaching $18 billion), its revenue heavily relies on a single product with low paid conversion rates, while DeepSeek’s strategic silence and open-source influence have strengthened its market position and valuation prospects, now targeting over $20 billion. Both companies reflect broader trends in China’s AI ecosystem: Kimi aims for global influence through open-source contributions and agent-based advancements, while DeepSeek prioritizes foundational innovation and hardware independence, notably shifting to Huawei’s chips. Their competition is seen as vital for China’s AI progress, with the gap between top Chinese and U.S. models narrowing to just 2.7% on the Elo rating scale. Ultimately, the article argues that this rivalry, though anxiety-inducing for leaders like Zhilin, is essential for driving innovation and solidifying China’s role in the global AI landscape.

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TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

An amateur mathematician, with the assistance of ChatGPT, has solved a combinatorial mathematics puzzle originally proposed by Hungarian mathematician Paul Erdős in the 1960s. This marks another milestone in AI-aided mathematical research, demonstrating the evolving capabilities of large language models in formal reasoning. In other AI developments, OpenAI introduced a new privacy filter tool for enterprise API usage, automatically screening sensitive data. Meanwhile, the Qwen3.6-27B model achieved 100 tokens per second on a single RTX 5090 GPU using quantization, significantly lowering the cost barrier for local AI deployment. In crypto and Web3, the U.S. CFTC sued New York’s financial regulator, challenging its oversight of Coinbase and Gemini—a first-of-its-kind federal-state regulatory clash. Following a vulnerability, KelpDAO and major DeFi protocols established a recovery fund. Tether froze $344 million in assets linked to Iran’s central bank upon U.S. Treasury request, highlighting the centralized control risks in stablecoins. Separately, Litecoin underwent a 3-hour chain reorganization to undo a privacy-layer exploit. In the U.S., former President Trump invoked the Defense Production Act to address power grid bottlenecks affecting AI data centers and dismissed the entire National Science Board, raising concerns over research independence. A retail trader gained 250% on a $600k Intel options bet amid AI-related speculation. Xiaomi announced its first performance electric vehicle, targeting rivals like Tesla. Meanwhile, iPhone users reported devices automatically reinstalling a hidden app daily, suspected to be MDM-related. A Chinese securities report noted that A-share institutional crowding has reached its second-longest streak since 2007, signaling high valuations and potential style rotation. The day’s developments reflect a dual narrative: AI is enabling unprecedented individual breakthroughs, while centralized power structures—whether governmental or corporate—are becoming more assertive, underscoring that decentralization is as much a political-economic challenge as a technical one.

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