【比推每日新闻精选】现货黄金首次涨破4500美元；俄罗斯拟放开加密货币国内交易，允许散户有限参与；美联储明年1月维持利率不变的概率为86.7%；特朗普：任何与我意见相左的人，永远别想当美联储主席

比推Published on 2025-12-24Last updated on 2025-12-24

Abstract

比推每日新闻精选：现货黄金价格首次突破4500美元/盎司，年内累计上涨超1870美元。俄罗斯央行计划放开加密货币国内交易，允许散户在通过知识测试后有限参与，非合格投资者年交易上限为30万卢布。美联储明年1月维持利率不变的概率为86.7%。特朗普批评美联储政策，强调反对加息抑制市场上涨，并表示与自己意见相左者不能担任美联储主席。美国三季度GDP增长强劲，但消费呈现“K型分化”，富裕家庭驱动增长。2025年现货比特币和以太坊ETF资金流入达310亿美元，比特币占主导地位。Solana财库公司Upexi向美SEC提交10亿美元储架注册申请，目前持有约200万枚SOL代币。

比推小编每日为您精选的Web3新闻:

【现货黄金首次涨破4500美元】

比推消息,现货黄金首次涨破4500美元/盎司关口,今年累涨超1870美元。

【俄罗斯拟放开加密货币国内交易,允许散户有限参与】

比推消息,俄罗斯央行已制定加密货币国内市场监管框架,拟允许散户投资者在通过知识测试后参与交易。非合格投资者仅可购买流动性最高的加密货币,并需通过单一中介操作,年交易上限为30万卢布(约3800美元)。合格投资者在通过风险认知测试后,可不设上限购买各类加密货币,但匿名代币除外。该举措被视为制裁背景下,俄罗斯对加密资产态度调整的最新信号。

【美联储明年1月维持利率不变的概率为86.7%】

比推消息,据CME“美联储观察”:美联储明年1月降息25个基点的概率为13.3%,维持利率不变的概率为86.7%。到明年3月累计降息25个基点的概率为40.7%,维持利率不变的概率为54.4%,累计降息50个基点的概率为5.0%。

【特朗普:任何与我意见相左的人,永远别想当美联储主席】

比推消息,美国总统特朗普在社交平台上发文称赞第三季度GDP数据,指出GDP增速达4.2%,远超2.5%的预期。但现在市场反应反常:过去好消息推高市场,如今好消息反而常导致股市持平或下跌——因为华尔街总担心好消息会立刻引发加息来预防“潜在”通胀。特朗普称,“这让我们再也难以重现国家崛起时期的繁荣市场。强劲的市场本身不会引发通胀,错误政策才会。我希望新任美联储主席在市场向好时降息,而非无端打压市场。我希望看到一个几十年来从未有过的市场:一个该涨就涨、该跌就跌的市场,一个理应如此、曾经如此的市场。”特朗普还表示,“通胀问题会自然缓解,若有必要我们随时可适时加息,但绝不应为了抑制上涨而加息。如果任由那些‘书呆子’竭尽全力破坏上升趋势,国家永远无法强盛。”特朗普最后直言,“任何与我意见相左的人,永远别想当美联储主席。”

【机构:美国强劲三季度GDP数据印证“K型消费分化”持续存在】

比推消息,牛津经济研究院首席经济学家迈克尔·皮尔斯在报告中指出,美国实际第三季度GDP年化增长率优于预期的4.3%,表明“K型消费者群体依然活跃且分化显著”。他表示,他更关注对美国国内私人购买力的最终销售额数据,指出此项数据呈现稳健增长,反映出消费支出(尤其是服务类消费)的强劲势头。这种增长主要源于近期财富增值效应,而实际可支配收入基本持平。皮尔斯写道:“这体现了K型消费复苏的特征——支出增长由年长、富裕家庭驱动,而中低收入群体仍面临困境。”

【数据:2025年现货比特币与以太坊ETF共录得近310亿美元的资金流入】

比推消息,据The Block数据显示,2025年,现货比特币与以太坊ETF合计录得310亿美元资金流入,显示机构需求强劲。

其中比特币占据绝对主导,全年维持着70-85% 的市场份额。这表明机构仍将其视为主要的加密货币配置入口和宏观对冲工具。相比之下,以太坊作为第二大配置,份额在15-30%之间,年内呈现逐步增长的态势,反映出机构对主流山寨币的接受度在缓慢提升。

值得注意的一个现象是,尽管近期市场波动,但上市公司持有的以太坊总量在12月因单一机构(BitMine Immersion)的持续买入而显著增加,从450万枚增至509万枚。与此同时,比特币ETF的交易量在年末有所放缓。

【Solana 财库公司 Upexi 向美 SEC 提交 10 亿美元储架注册申请】

比推消息,美股上市 Solana 加密财库(DAT)公司 Upexi 向美国证券交易委员会(SEC)提交 10 亿美元储架注册申请,以通过多种证券发行方式筹集资金。该公司目前持有约 200 万枚 SOL 代币,为上市公司中第四大 SOL 资产持有者。潜在所得资金可用于多种用途,包括营运资金、研发以及偿还债务。

值得注意的是,Upexi 公司股价已自 5 月峰值 22.57 美元跌至 1.825 美元,今日盘中再度下跌 8.3%,市值现报 1.15 亿美元。

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比推 TG 交流群:https://t.me/BitPushCommunity

比推 TG 订阅: https://t.me/bitpush

原文链接:https://www.bitpush.news/articles/7597985

Related Questions

Q现货黄金价格首次突破多少美元/盎司？

A现货黄金首次涨破4500美元/盎司。

Q俄罗斯央行对加密货币国内交易有哪些新规定？

A俄罗斯央行拟允许散户投资者在通过知识测试后参与交易，非合格投资者仅可购买流动性最高的加密货币，年交易上限为30万卢布（约3800美元）；合格投资者在通过风险认知测试后可不设上限购买各类加密货币（匿名代币除外）。

Q据CME“美联储观察”，明年1月美联储维持利率不变的概率是多少？

A据CME“美联储观察”，美联储明年1月维持利率不变的概率为86.7%。

Q特朗普对美联储主席的任命有何要求？

A特朗普表示，任何与他意见相左的人，永远别想当美联储主席。

Q2025年现货比特币与以太坊ETF共录得多少资金流入？

A2025年，现货比特币与以太坊ETF共录得近310亿美元的资金流入。

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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.

716 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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