【比推每日新闻精选】消息人士:若哈里斯赢得总统大选,SEC主席Gensler或被提名为财政部长;纽约法官驳回美 SEC 在 Tron 诉讼案中的审前会议请求;Bitwise 收购欧洲加密货币 ETP 发行商 ETC Group

比推Publicado a 2024-08-19Actualizado a 2024-08-19

比推小编每日为您精选的Web3新闻:

【消息人士:若哈里斯赢得总统大选,SEC主席Gensler或被提名为财政部长】

比推消息,据美媒Washington Reporter报道,参议院消息人士透露,如果副总统卡马拉·哈里斯在今年 11 月赢得总统大选,美国证券交易委员会主席、对加密货币持怀疑态度的Gary Gensler很可能会被提名为财政部长。财政部负责运营和维护美国金融基础设施,包括征税、印钞、发行债券以及执行金融制裁。财政部长有时被称为国家“首席财务官”,还负责指导财政政策。

Washington Reporter报道称,马萨诸塞州参议员Elizabeth Warren也可能是财政部长职位的竞争者,此外,美SEC委员Caroline Crenshaw可能会接替Gensler担任SEC主席。

【纽约法官驳回美 SEC 在 Tron诉讼案中的审前会议请求】

比推消息,在美国证券交易委员会(SEC)起诉 Tron 基金会及其创始人孙宇晨的案件中,纽约法官Edgardo Ramos驳回了该委员会的审前会议请求。据悉,SEC委员会此前致信法官,要求强制召开审前会议,或要求其在针对 Tron 基金会及其创始人孙宇晨的证券欺诈诉讼中提交额外回应。Tron 的律师对 SEC 的信函进行了回击,指责 SEC“试图制造争议”,称他们的辩护很大程度上取决于他们认为 BTT 和 TRX 的销售不符合豪威测试的第三项——即期望从他人的努力中获利——并辩称,SEC 请求提交额外答复文件(称为答复书)的信函“错误描述并忽视了被告在本案中关于豪威测试第三项的论点。”

法官表示:“鉴于被告承认他们并未质疑豪威测试中的‘共同企业’要素,美国证券交易委员会要求撤销不合时宜的论点或请求准许提交答辩状的动议被驳回。”

Bitwise收购欧洲加密货币 ETP 发行商ETC Group

比推消息,Bitwise 收购欧洲加密货币 ETP 发行商 ETC Group。ETC Group 是一家伦敦加密货币 ETP 发行方,资管规模超过 10 亿美元。这也标志着 Bitwise 向欧洲扩展,并为 Bitwise 包含 ETP、对冲基金解决方案和单独管理账户的广泛套件增加 9 个在欧洲上市的加密货币 ETP。

【美国前总统特朗普:如果当选,将考虑让马斯克担任内阁或顾问角色】

比推消息,据金十报道,美国前总统特朗普表示,如果当选,将考虑让马斯克担任内阁或顾问角色,如果他愿意的话。

【加密“VPU”芯片开发商Fabric完成3300万美元A轮融资,Blockchain Capital1kx领投】

比推消息,加密“VPU”芯片开发公司 Fabric 宣布完成 3300 万美元 A 轮融资,Blockchain Capital 和 1kx 领投,Offchain LabsPolygonMatter Labs 参投。

该项目此前已在由Metaplanet领投的种子轮融资中筹集了 600 万美元。据新闻稿称,Fabric 的创始人包括麻省理工学院和斯坦福大学辍学生Michael Gao和Tina Ju,以及硬件行业资深人士 Sagar Reddy。新资金将用于构建计算芯片、软件和加密算法,Fabric 路线图的核心是构建称为“可验证处理单元(VPU)”的新处理单元,将专门用于处理加密技术。Fabric 表示,新芯片预计将于今年晚些时候投入生产。

【福克斯记者:美民主党在最新政党纲领中未提及任何加密相关内容】

比推消息,福克斯商业记者Eleanor Terrett发文表示,美国民主党在民主党全国代表大会第一天正式发布了其政党纲领。没有提及区块链技术、比特币、数字资产或任何与加密相关的内容。

【老牌意大利银行 Banca Sella现已在其平台上直接提供比特币服务】

比推消息,据Bitcoin Magazine披露,老牌意大利银行 Banca Sella 现已在其银行平台上直接提供比特币服务。


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NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

NVIDIA's "Red Queen Gödel Machine" (RQGM) paper proposes a potentially groundbreaking AI self-evolution framework. It breaks from the long-stalled concept of the "Gödel Machine," which required mathematically proven beneficial self-modifications, by adopting an evolutionary approach. The core, and most striking, innovation is that the AI does not just evolve its own code in a static environment. Instead, it co-evolves both the "student" (the task-performing agent) and the "examiner" (the evaluation system that judges it). This creates a dynamic, recursive self-improvement loop inspired by the biological "Red Queen Hypothesis"—where continuous adaptation is needed just to maintain relative fitness. The mechanism operates in epochs. Within an epoch, a fixed examiner evaluates all candidate code variants. At epoch boundaries, a new, potentially more rigorous examiner can replace the old one, but only if it proves statistically superior on a held-out "ground truth" dataset. This "controlled utility evolution" aims to ensure progress is measurable and grounded. The paper demonstrates RQGM's effectiveness across three domains: 1. **Code Generation:** It achieved a 71.7% test-set pass rate (improving over a 69.9% SOTA) while using 1.35-1.72x fewer computational tokens. 2. **Paper Writing:** In a subjective task, the co-evolved writer and reviewer achieved a 40.5% acceptance rate by a fixed human panel, up from 21.8%. 3. **Math Proofs:** It evolved more accurate graders (at 3x lower cost) and higher-scoring provers. Notably, RQGM also mitigated a known LLM bias where AI reviewers favor AI-generated content. By specifically rewarding reviewers that correctly rejected AI-written papers from a historical pool, the evolved system achieved impartiality while maintaining 80% accuracy. The research has sparked significant discussion about the acceleration of Recursive Self-Improvement (RSI). Some, like Anthropic's Jack Clark, have predicted a high probability of highly autonomous, self-evolving AI emerging by 2028. The paper suggests that when an AI begins to design its own evaluators and push itself toward ever-higher standards in a recursive loop, it may be taking a fundamental step toward redefining intelligence and autonomy.

marsbitHace 2 min(s)

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

marsbitHace 2 min(s)

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

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Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报Hace 1 hora(s)

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

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Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

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Cómo comprar ETC

¡Bienvenido a HTX.com! Hemos hecho que comprar Ethereum Classic (ETC) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Ethereum Classic (ETC) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Ethereum Classic (ETC)Después de comprar tu Ethereum Classic (ETC), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Ethereum Classic (ETC)Tradear fácilmente con Ethereum Classic (ETC) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

169 Vistas totalesPublicado en 2024.12.10Actualizado en 2026.06.02

Cómo comprar ETC

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Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de ETC (ETC).

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