早报 | 计划于下周推出经济政策平台 经济衰退仍是美国经济最有可能出现的结果

币界网Pubblicato 2024-08-11Pubblicato ultima volta 2024-08-11

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头条

哈里斯:计划于下周推出经济政策平台

美国副总统哈里斯表示,计划于下周推出经济政策平台,在美联储独立性问题上与特朗普的观点完全相左。作为总统绝不会干预美联储的决策。

摩根大通CEO:经济衰退仍是美国经济最有可能出现的结果

摩根大通首席执行官Jamie Dimon重申,经济衰退仍是美国经济最有可能出现的结果,他坚持认为“软着陆”的可能性仅为 35% 至 40%。Jamie Dimon在接受 CNBC 采访时强调了市场面临的持续不确定性,指出了地缘政治、住房、赤字、支出、量化紧缩、选举,所有这些都会引起市场的恐慌。尽管他持谨慎态度,但他承认经济表现好于预期。


行情

截至发稿,据Coingecko数据显示:

BTC最近成交价61,056.3美元,日内涨跌幅+0.5%

ETH最近成交价2,624.02元,日内涨跌幅+0.9%

BNB最近成交价525.44美元,日内涨跌幅+2.9%

SOL最近成交价154.19美元,日内涨跌幅-1.3%

DOGE最近成交价0.1067美元,日内涨跌幅+2.4%

XPR最近成交价0.5884美元,日内涨跌幅+1.1%


政策

美国国税局公布改革后的加密税表,不再要求披露地址

美国国税局 (IRS) 公布了用于报告数字资产交易的最新1099-DA表格,其中引入了一些关键变化,可能解决过去受到的批评和隐私问题。据报道,新版本将于2025年部分实施,删除了早期草案中的几个有争议的元素。

前美国SEC官员:摩根士丹利推销比特币ETF或面临更严格的监管审查

前美国证券交易委员会(SEC)互联网执法部门负责人约翰·里德·斯塔克 (John Reed Stark) 表示,摩根士丹利向其客户大规模推销比特币交易所交易基金 (ETF) 的最新举措可能会导致这家美国银行受到更严格的监管审查。 本周早些时候,这家华尔街巨头宣布计划允许其15000名持牌金融顾问开始向客户推销比特币现货ETF。包括贝莱德的IBIT和富达的FBTC。但仅限于净资产在150万美元及以上、风险承受能力高的高净值个人。


区块链应用

Gala生态宣布引入Telegram单点登录SSO

据官方消息,Gala生态系统已添加使用Telegram登录凭据的单点登录 (SSO) 选项,此次集成简化了注册流程,让新用户更容易加入Gala生态,据悉,Telegram用户可以随时创建和连接Web3钱包,从而访问Gala提供的所有功能。

▌Runecoin:计划开启Season 2,优先考虑机制和时机

Runecoin 于 X 发文表示,其计划开启 Season 2,优先考虑机制和时机。

▌Maker 社区提议调整多个 vault 类型参数,拟将 DSR 下调至 6%

Maker 发文表示,Block Analitica 团队提议对各种 vault 类型参数进行调整,将在接下来的执行投票中加以考虑。拟议稳定费(SF)变更:ETH-A:降至 6.25%;ETH-B:降至 6.75%;ETH-C:降至 6%;WSTETH-A:降至 7.25%;WSTETH-B:降至 7%;WBTC-A:降至 7.75%;WBTC-B:降至 8.25%;WBTC-C:降至 7.5%;有效 DAI 借款 APY 下调至 7%;;DSR(Dai Savings Rate)下调至 6%。


加密货币

QCP Capital:高波动行情已清理市场杠杆,BTC或将在Q4创下历史新高

8月10日消息,QCP Capital在官方频道发文表示,ETH相对于BTC的流动性状况发生了根本性转变,BTC越来越多地融入主流宏观资本市场,但ETH却越来越被边缘化。BTC的数字黄金叙事非常吸引投资者,而ETH则缺乏这样的叙事。不过这不一定只对ETH价格产生负面影响。 此外,期权交易上观察到BTC与ETH相比具有相同的结构性看涨趋势,过去两个月资金主要流入BTC,特别是长期看涨资金,而ETH资金主要集中在短期投机。其认为,本周BTC的走势是一次清理杠杆行为,以便在第四季度创下历史新高。

拜登前顾问:哈里斯需要非常明确、公开地表达加密货币观点、立场和计划

拜登前顾问Moe Vela表示,哈里斯需要非常明确、非常公开地表达加密货币观点、立场和计划,并且需要建立一个绝对的加密货币平台,加密行业需要了解她的观点,以及知道她对此有何感受。美国民主党要对加密货币有所觉醒,重新审视加密货币的优势,以及加密货币如何真正帮助在美国选举中实现一些目标。据悉,哈里斯拟定于9月10日在美国广播公司 (ABC) 的电视辩论中与特朗普对决,不过有报道称9月4日和9月25日可能还会有额外辩论。


    重要经济动态

    美联储理事鲍曼:对降息保持谨慎

    美联储理事鲍曼表示,通胀存在上行风险,劳动力市场持续走强,这表明她可能不准备在9月份美国央行官员下次会议上支持降息。她称,5月和6月在降低通胀方面取得的进展是受欢迎的,但通胀仍高于委员会2%的目标,这令人不安,在考虑调整目前的政策立场时,我将保持谨慎的态度。她还表示,美国的财政政策、移民给房地产市场带来的压力以及地缘政治风险,都可能给房价带来上行压力,且最近失业率跃升至4.3%可能夸大了劳动力市场降温的程度。

    ▌美国前财长:9月降息50个基点是合适的

    报道,美国前财政部长劳伦斯·萨默斯警告不要让总统干预货币政策制定,否则随着时间的推移最终只会损害经济。萨默斯周五表示,「让政客参与进来是愚蠢的游戏,最终结果是更高的通胀和更弱的经济。」萨默斯发表这番言论的前一天,共和党总统候选人唐纳德·特朗普表示,他认为总统应该在美联储政策制定上有一定「发言权」。 至于美联储的政策决定,萨默斯表示,鉴于周一以来市场波动和股市下挫已经缓和,「就当前事实而言」,任何紧急降息都站不住脚。尽管如此,萨默斯表示在 9 月的政策会议上「降息 50 个基点可能是合适的」。


      百科

      什么是反向期货合约?

      反向期货合约是一种金融安排,要求卖方在合约到期时向买方支付约定价格与当前价格之间的差额。与传统期货不同,卖方从价格下跌中获益。反向期货合约的性质是非线性的。当交易者做多 BTC/USD 反向期货合约时,他们就是在做空美元。由于合约是反向的,交易者的头寸在比特币中的价值较低,比特币的价值越高,相对于美元的价值就越高。

      免责声明:作为区块链资讯平台,所发布的文章内容仅供信息参考,不作为实际投资建议。请大家树立正确投资理念,务必提高风险意识。

      Letture associate

      Cache hit rate reaches 99.93%, the best Harness for DeepSeek is here, GitHub pulls in 86k Stars

      The open-source programming agent "Pi" has surged in popularity on GitHub, amassing around 86,000 stars, largely due to its exceptional efficiency when paired with DeepSeek's models. A key highlight is its remarkably high cache hit rate of approximately 99.93% for input tokens when using DeepSeek. This minimal cache miss rate of 0.07% means most repeated context is reused, drastically reducing computational costs. In a benchmark test by Composio comparing eight major agent harnesses running DeepSeek V4 Flash, Pi achieved the lowest average cost per successful task at about $0.028, significantly outperforming others like Claude Code, which was nearly seven times more expensive. Pi functions as a streamlined "harness" or workspace for AI models, providing core tools like file read/write and command execution while allowing users to add extensions. Its simplicity and specific adaptation for DeepSeek's API—handling its unique reasoning content and tool call formats—make it highly compatible. This design maximizes the efficiency of DeepSeek's low-cost tokens and powerful caching mechanism, as the agent's linear workflow avoids unnecessary changes to earlier prompt sections. While DeepSeek has officially announced its own harness project targeting Claude Code, Pi remains a versatile, user-customizable platform supporting multiple AI providers. It offers developers a cost-effective and flexible alternative, setting a high bar for future official solutions.

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      Cache hit rate reaches 99.93%, the best Harness for DeepSeek is here, GitHub pulls in 86k Stars

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      When Meme Traffic Meets RWA: The Financial Ambitions of Hyperliquid and Robinhood

      When Meme traffic meets RWA: Hyperliquid and Robinhood's Financial Ambitions This article explores the transformative role of speculation in financial market evolution, arguing it can provide the liquidity and capital foundation for mature, compliant businesses. The analysis draws parallels to historical examples, like 19th-century Chicago grain markets, where speculators provided necessary counterparty liquidity for farmers, eventually establishing a global pricing infrastructure. The author examines contemporary cases in crypto. The launch of Uniswap's Pools meme token platform on Robinhood Chain—originally built for tokenized stock trading—demonstrates how speculative meme trading can drive significant user adoption and liquidity. Despite initial volatility, this traffic can seed future, more substantial financial activities. Similarly, Hyperliquid, which began with high-leverage crypto trading, has successfully migrated its speculative model to real-world assets (RWAs) like equities, commodities, and indices. By July, RWA perpetual contract volumes on Hyperliquid surpassed its crypto trading for the first time, showcasing how speculation can build new, all-weather pricing layers. The core thesis is that speculation itself is neutral. Its long-term value and sustainability are determined by the underlying assets it engages with. While pure bubbles collapse, speculation anchored to valuable assets—be it wheat, gold, or equities—can evolve into foundational market infrastructure. Both Hyperliquid’s RWA platform and Robinhood’s strategy of leveraging meme coin enthusiasm to build towards on-chain securities trading exemplify this potential pathway from speculative frenzy to structured financial utility.

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      When Meme Traffic Meets RWA: The Financial Ambitions of Hyperliquid and Robinhood

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      NVIDIA HBM in Short Supply, Next-Gen GPUs Limited, but This Storage Drive Steals the Spotlight

      The article discusses how AI Agents are transforming storage from a passive repository into an active component within AI inference and operation loops. As Agents perform continuous tasks involving models, memory, tools, and logs, data storage needs to evolve beyond simple block devices. The concept of "functional SSDs" is introduced, where capabilities like automatic encryption, compression, indexing, and memory management are embedded closer to the storage medium. This shift is driven by the need to handle Agent-specific data chains—including context, tool trajectories, and long-term memory—more efficiently. The piece analyzes current trends like AI SSDs from companies such as Phison (aiDAPTIV), Longsys (SPU+iSA), and Maxio, which are beginning to participate in the AI data path by managing model weights, KV cache, and prefetching. It further explores the future re-division of labor across the memory hierarchy: HBM for core compute, emerging High Bandwidth Flash (HBF) for read-intensive workloads, DRAM/CXL for mutable state, and functional SSDs for persistent, governed objects like Agent Memory. The conclusion is that storage will become integral to Agent capability, moving from just saving data to enabling next-step actions. The industry is poised to develop along three paths: functionalized SSDs, storage nodes tailored for Agents, and a re-architected, tiered memory system optimized for access patterns, security, and cost-per-token efficiency.

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      NVIDIA HBM in Short Supply, Next-Gen GPUs Limited, but This Storage Drive Steals the Spotlight

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      Breaking: Claude's Attempt on Riemann Hypothesis "Fails," but Accidentally Sets 37-Year Math Record

      **AI Makes a Major Mathematical Leap While Failing at the Riemann Hypothesis** A research version of Anthropic's Claude AI was tasked with "seriously attempting" the legendary Riemann Hypothesis, a 167-year-old unsolved problem in mathematics. While it ultimately did not prove the hypothesis, its attempt yielded a significant breakthrough. Claude managed to improve the proven lower bound for the proportion of Riemann zeta function zeros lying on the critical line from 41.6% to 67.2%. This marks a 25.6 percentage point increase, described by observers as potentially the most substantial advance in analytic number theory in over a decade, considering that the previous record had only improved by 0.8 percentage points over 37 years. To achieve this, Claude generated and discarded roughly 650 initial ideas before orchestrating a day-and-a-half-long effort involving about 60 sub-agents. These agents executed 2,400 shell commands, wrote hundreds of Python scripts, and performed thousands of numerical checks. After finding the potential result, Claude initiated self-verification, downloaded papers to check for prior work, and independently re-derived the finding. It then suggested writing a formal paper. The result has been reviewed by Anthropic's internal mathematicians, who also collaborated with Claude to produce a formal, machine-checkable proof using the Lean theorem prover. External experts in the field have also reviewed the manuscript. Anthropic clarifies that the method likely does not directly lead to a full proof of the Riemann Hypothesis, but it demonstrates that advanced AI models are beginning to engage with genuine, open-ended research problems at the frontier of mathematical knowledge.

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      Breaking: Claude's Attempt on Riemann Hypothesis "Fails," but Accidentally Sets 37-Year Math Record

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