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Behind the Coinbase Acquisition of USDH: Hyperliquid’s Interest-Driven Choice

The article discusses the transition of the Hyperliquid ecosystem's native stablecoin, USDH, following its acquisition by Coinbase. Last September, USDH, issued by Native Markets, was a focal point in the ecosystem. Recently, Coinbase announced it will become the official USDC treasury deployer on Hyperliquid. Native Markets granted Coinbase the rights to purchase the USDH brand assets, leading to the gradual phase-out of USDH. Users can convert USDH to USDC or fiat without fees during this period. USDC is now Hyperliquid's official stablecoin. The move is framed as a three-way win: * **Coinbase & Circle:** Deepen ties with Hyperliquid's on-chain economy. Both companies are staking HYPE tokens. Circle had already invested in HYPE previously. * **Hyperliquid:** Becomes the primary beneficiary, set to receive the vast majority (estimated ~90%) of the reserve yield income from the ~$5.16 billion in USDC on its platform. This could translate to significant daily HYPE buybacks. The alliance with Coinbase may also offer regulatory advantages in the US. * **Native Markets:** While exiting the stablecoin business, the team reportedly received economic compensation from Coinbase for the USDH brand assets, framing it as a successful conclusion to USDH's role. However, the article notes criticism from some Hyperliquid community members. They view the shift as a step back for decentralization and argue that the original USDH issuer vote was driven by internal interests rather than user benefit, leaving regular users with nothing. The conclusion reflects that the eventual partnership between Hyperliquid and the giants (Coinbase/Circle) underscores a reality of利益分配 (interest distribution) over initial ideals of community and ecosystem advocacy.

Odaily星球日报2 дня назад 06:48

Behind the Coinbase Acquisition of USDH: Hyperliquid’s Interest-Driven Choice

Odaily星球日报2 дня назад 06:48

Google and Microsoft Battle in the AI PC Arena: Is Local Computing Power an IQ Tax? Is the Cloud PC the Ultimate Form?

Google and Microsoft are competing in the AI PC arena, with the article questioning whether powerful local AI hardware is necessary. It argues that current "AI PCs" often rely heavily on cloud AI for complex tasks, making premium local AI silicon potentially less critical. Google recently unveiled "Android PCs," a new high-end productivity-focused product line. Unlike traditional AI PCs that add AI features to existing Windows systems, Android PCs position cloud-based AI, specifically Google's Gemini, as their core. The system deeply integrates AI, allowing context-aware assistance directly where the user is working, regardless of the underlying device hardware (x86 or ARM). The piece suggests that cloud computing might be the future for AI PCs. Unlike cloud gaming, which demands ultra-low latency, AI tasks are more tolerant of network delays, as users already expect some processing time. This makes the cloud-computing model well-suited for AI. Examples like Alibaba's "Wuying AI Cloud Computer" show how cloud services can offer robust AI capabilities without requiring powerful local hardware. This shift challenges the traditional PC model. With rising memory costs and limitations in consumer-grade local AI performance, the "light local, heavy cloud" approach offers an alternative. It could lead to devices that primarily need a good display and network connection, with heavy AI lifting done remotely. However, the transition is just beginning. Traditional players like Microsoft are pushing both local AI standards (e.g., 40+ TOPS NPU requirements) and deeply integrating cloud AI (Copilot with GPT) into Windows. Apple leverages its tight ecosystem and has found success with more affordable MacBooks, potentially positioning it well for AI integration later. Chipmakers like Intel and AMD, while promoting local AI, also benefit massively from supplying data centers for the cloud AI infrastructure. The conclusion is that AI is redefining the PC. The future battle will involve cloud integration, OS-level AI, and cross-device ecosystems. While questions about network reliability, data privacy, and user adaptation remain, the era of the AI cloud computer seems to be on the horizon.

marsbit2 дня назад 06:35

Google and Microsoft Battle in the AI PC Arena: Is Local Computing Power an IQ Tax? Is the Cloud PC the Ultimate Form?

marsbit2 дня назад 06:35

World Cup Approaches, Prediction Markets Face a Major Test

The 2026 FIFA World Cup represents a major public test for sports prediction markets like Polymarket and Kalshi, which have grown significantly by offering tradable markets on event outcomes. This global event, hosted by the US, Canada, and Mexico, concentrates risks related to sports integrity, cross-border operations, and gambling ecosystems. A key concern is the potential for insider trading on non-public information (e.g., injuries, lineups), which could be exploited in granular prediction markets. FIFA's choice of its official prediction market partner, ADI Predictstreet, has raised significant doubts. The platform, relatively unknown, has faced scrutiny over the integrity of its executives—including past insider trading allegations and associations with a major EU corruption scandal—its rapid licensing in Gibraltar, and the fact its product was not yet live at the time of the announcement. This partnership begins with a "trust deficit." FIFA itself carries historical corruption baggage, and its deepening ties with betting and data industries fuel concerns about maintaining sporting integrity. While FIFA has established monitoring systems, their effectiveness against potential insider trading across decentralized global prediction markets remains unproven. Major US-based prediction platforms have updated rules to prohibit trading based on confidential information. However, the World Cup's complex ecosystem of federations, teams, and officials makes enforcement far more challenging than in domestic leagues. The event will not determine the fate of prediction markets but will critically test whether they can be integrated as a regulated event-trading infrastructure or remain a high-risk gambling-adjacent activity within global sports.

marsbit2 дня назад 05:11

World Cup Approaches, Prediction Markets Face a Major Test

marsbit2 дня назад 05:11

CLARITY Act Passes Crucial Hurdle, But a Long Road Remains Ahead

The CLARITY Act, a major U.S. digital asset market structure bill, has advanced from the Senate Banking Committee with a 15-9 bipartisan vote, ending a four-month legislative standstill. The bill's core aim is to resolve the long-standing jurisdictional conflict between the SEC and CFTC by clearly defining which digital assets are securities or commodities. It also establishes rules for exchanges and custodians while providing protections for non-custodial software developers and blockchain validators, shielding them from being classified as money transmitters. The committee's approval triggered a positive market reaction, with Bitcoin rising and crypto-related stocks outperforming the broader market. However, the passage was secured only after last-minute negotiations and compromises, including the addition of amendments on investor protection, bank activities, and defining "truly decentralized" DeFi projects. Two key Democratic senators provided the crucial swing votes but cautioned that their future support in a full Senate vote is not guaranteed. Significant hurdles remain. The bill must still pass the full Senate, requiring 60 votes, and a major point of contention is a Democratic demand for an ethics clause restricting financial ties between high-level government officials and crypto firms—a provision opposed by Republicans and the White House. Additionally, the bill must be reconciled with a version from the Senate Agriculture Committee. If not passed before the August congressional recess, the next viable legislative window might not open until 2030. The legislation also faced, and ultimately withstood, last-minute lobbying opposition from traditional banking groups concerned about deposit outflows to crypto. If ultimately enacted, the CLARITY Act would initiate a multi-year rulemaking process, with new regulations likely not taking full effect until 2027 or later. While a critical milestone, the path to becoming law remains a challenging race against time.

链捕手2 дня назад 04:54

CLARITY Act Passes Crucial Hurdle, But a Long Road Remains Ahead

链捕手2 дня назад 04:54

A Century Before Swift and Blockchain, China Built Its Own Cross-Border Financial Network

A century before Swift and blockchain, China's cross-border financial miracle: The Qiaopi Network. Driven by the phrase "a promise is greater than life," the Qiaopi (overseas Chinese remittance letter) system was a remarkable, entirely private financial network. Operating for over a hundred years until 1979, it facilitated billions in remittances, at one point constituting over 50% of China's foreign exchange during WWII—all without central banks, official clearing, or government backing. It began with "Shuike" (water guests), couriers who carried cash and letters personally between Southeast Asia and Chinese villages like Chaozhou. Their operation was peer-to-peer, identity-verified through kinship, and had a near-zero default rate, as trust was their sole collateral. This evolved into "Piju" (remittance houses), creating an institutional network. They ingeniously used currencies like the Hong Kong Dollar for settlement and practiced netting clearance, offsetting remittance flows against trade payments to minimize physical cash movement. Its resilience shone in wartime. When Japanese forces cut off main routes, the network forged an underground "Dongxing Remittance Path" through Vietnam. It used coded messages ("a bag of rice" for a sum of silver) to evade interception, reliably delivering funds critical for survival and even clandestine support for the war effort. Unlike Swift (built on state cooperation) or blockchain (relying on cryptography), Qiaopi was founded on clan,乡土 (native place), and human trust—a cultural consensus where违约 meant social death. Modern finance compensates for this lost trust with complex collateral and regulation. The Qiaopi network, powered only by sailing ships, familiar accents, and profound integrity, achieved a feat of decentralized, cross-border finance that remains unparalleled—a poignant story of信用 (trust/credit) in its purest form.

marsbit2 дня назад 04:04

A Century Before Swift and Blockchain, China Built Its Own Cross-Border Financial Network

marsbit2 дня назад 04:04

A Decade's Bet on Cerebras: How the 'Wafer-Scale AI Chip' Reached NASDAQ

"Cerebras, a pioneering AI chip company, successfully debuted on NASDAQ (CBRS) on May 14, 2026, with its stock price surging approximately 68% on the first day. This marks a significant milestone following a decade-long journey, as recounted by early investor Steve Vassallo. The story begins not in 2016, but with the deep, 19-year relationship between Vassallo and founder Andrew Feldman, which started with Feldman’s previous company, SeaMicro (acquired by AMD in 2012). In 2016, Feldman and a core team of chip and system experts sought to challenge the emerging consensus. At a time when AI’s practical utility was still debated and GPUs were becoming the default hardware, they envisioned a fundamentally new computer architecture purpose-built for AI workloads. They identified memory bandwidth, not raw compute power, as the critical bottleneck for neural networks. Defying industry inertia, Cerebras pursued a radical, wafer-scale chip design—58 times larger than the biggest existing chips. This meant confronting and solving a cascade of unprecedented engineering challenges: power delivery, thermal management, and maintaining electrical continuity across tens of thousands of connections. It required reinventing nearly every aspect of modern computing—semiconductors, systems, data structures, software, and algorithms. The path was fraught with setbacks, including a prototype that caught fire on its first power-up. Progress was marked by intense, iterative problem-solving, with the board meeting every 6-8 weeks to tackle the latest technical frontier. Through disciplined perseverance and deep trust within the team, they achieved a breakthrough in August 2019 when their first wafer-scale computer successfully operated. Feldman’s drive for a 1000x leap, his formative upbringing among intellectual giants who modeled both brilliance and kindness, and his belief in building a loyal, mission-driven team were central to Cerebras’s culture. His competitive strategy was that of David vs. Goliath—finding innovative, human-centric approaches that larger incumbents would overlook. From the symbolic delivery of the first term sheet over a backyard fence in 2016 to the NASDAQ bell ringing in 2026, Cerebras’s journey is a testament to long-term vision, technical audacity, and the power of foundational founder-investor relationships. It stands as a reminder that the computing revolution can come not just from more GPUs, but from a complete reimagining of the architecture itself."

marsbit2 дня назад 03:55

A Decade's Bet on Cerebras: How the 'Wafer-Scale AI Chip' Reached NASDAQ

marsbit2 дня назад 03:55

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