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Hyperliquid Policy Research Center: Perpetual Futures Can Complement Traditional Futures Markets, No Evidence of Undermining Benchmark Markets Found

Odaily News: The Hyperliquid Policy Center has released a research report titled "Perpetual Futures as Complements to Dated Futures," stating that perpetual futures can expand market risk management tools and improve price discovery efficiency, rather than squeezing out traditional dated futures markets.The report points out that the biggest difference between perpetual contracts and traditional futures is that they have no expiration date, meaning traders are not forced to roll over positions and can gain continuous exposure to asset prices through a single contract, making them better suited for around-the-clock trading. As perpetual futures enter the U.S. market for the first time, there has been concern over whether they would divert liquidity from traditional futures.The Hyperliquid Policy Center analyzed data from Bitcoin and on-chain WTI crude oil perpetual contracts, comparing perpetual contract prices during periods when traditional futures markets were closed against benchmark futures prices after markets reopened. The study covered 205 Bitcoin trading weekends and 19 weekends of on-chain crude oil perpetual contract samples.The research found that perpetual futures complement traditional futures in several ways:- Perpetual contracts can lower hedging costs by avoiding the additional expenses associated with rolling positions after traditional futures expire;- Perpetual contracts attract small-scale trading demand that traditional futures struggle to cover—for example, the median trade size for on-chain crude oil perpetuals is approximately $1,300, roughly 1/100th of traditional WTI futures;- Perpetual markets provide effective price discovery during periods when traditional markets are closed, with weekend prices typically being validated by benchmark market prices upon reopening;- During extreme market conditions, perpetual contracts help investors continuously manage risk—for instance, during the weekend of significant crude oil volatility in March 2026, using on-chain crude oil perpetuals for hedging could significantly reduce potential losses;- Data shows that after the launch of perpetual markets, no statistically significant negative impact was observed on traditional benchmark markets, with WTI futures spreads even narrowing after market reopening.

NVIDIA Plans to Invest Hundreds of Millions in Data Center Power Infrastructure, Bolstering the AI Computing Supply Chain

Odaily News: NVIDIA is in deep talks with Cloverleaf Infrastructure, a data center power infrastructure developer, to invest hundreds of millions of dollars to expand its footprint in the AI infrastructure space.Cloverleaf Infrastructure is primarily responsible for securing stable power supplies and developable land for large-scale data center projects. Its current pipeline of data center power capacity exceeds 10 gigawatts (GW). If the deal goes through, NVIDIA will further lock in future data center capacity, securing the infrastructure necessary to deploy its AI chips.In recent years, as demand for AI computing power has grown rapidly, power availability has become a key constraint on data center expansion. NVIDIA has also been making continued investments in related energy infrastructure companies, including power developer Lancium and SoftBank-backed SB Energy, signaling its evolution from a chip supplier into a participant in the broader AI infrastructure ecosystem.

Binance Launches Agent OS, Connecting AI Applications with Trading, Wallet, and Payment Infrastructure

Binance has launched the Agent OS developer platform, designed to connect AI applications to its trading, market data, wallet, payment, and on-chain features. The platform integrates the Binance API, Binance Wallet Agent Center, the programmable payment tool Binance x402, and Skill Hub, while supporting the Model Context Protocol. Users can authorize agents to access market data, view account information, and execute restricted transactions through compatible tools.

Anthropic-Affiliated AI Data Center Nexus Data Secures $1.3 Billion in Private Credit Support

According to Bloomberg, private credit firm Eagle Point Credit Management LLC is providing a loan of approximately $1.3 billion for a large AI data center in Texas, USA, associated with Anthropic, marking another mega-deal in the boom of AI infrastructure financing.

Arthur Hayes: AI Bubble Concentrated in Data Center Debt and Unprofitable AI Companies, Still Bullish on Agentic Economy

Odaily News: Arthur Hayes posted on X that someone asked him why he is launching an AI/crypto project while believing AI is a bubble about to burst. He stated that the bubble exists in the debt used to build data centers, as well as in the stocks of unprofitable hyperscale cloud providers and frontier labs. "Price is what you pay; value is what you get." He is 100% confident in the Agentic Economy, and the excess compute capacity brought by debt-funded construction supports his assessment of Flop Labs.Previously, Arthur Hayes announced he would end his retirement and lead Flop Labs. Flop Labs is "food" for AI agents. The project has no pre-sale, no VC participation, and adopts a 100% fair launch model.

Hyperliquid Policy Center Announces Support for SEC's Proposal to Repeal "Trade-Through Rule"

Odaily News - Hyperliquid Policy Center announced that it has recently submitted a joint comment letter with Douro Labs to the U.S. Securities and Exchange Commission (SEC), supporting the SEC's proposal to rescind Rule 611 of Regulation NMS (the "Trade-Through Rule") and calling on regulators to establish a clearer Best Execution regulatory framework for on-chain markets.The Hyperliquid Policy Center believes that the current Trade-Through Rule is built on traditional securities market structures and is clearly incompatible with blockchain-native trading models. HPC and Douro Labs put forward three recommendations in their joint comment letter:First, they support the SEC in rescinding the Trade-Through Rule. The two companies argue that this rule relies on a traditional quote system that cannot accurately reflect the on-chain trading environment, and its continued application could hinder the development of on-chain financial markets.Second, the SEC should establish clear best execution guidance for on-chain trading. On-chain markets feature new factors that do not exist in traditional markets, such as quote-less trading, 24/7 operation, blockchain network fees, and MEV (Maximal Extractable Value). Brokers need clearer regulatory standards to ensure they can execute trades on behalf of clients.Third, the regulatory framework should be principles-based and recognize independent price reference mechanisms. HPC and Douro Labs suggest that when the traditional NBBO cannot cover on-chain markets, the SEC should recognize independent price reference data formed through transparent, manipulation-resistant mechanisms. For example, the Pyth Network, which Douro Labs helped build, provides price oracle services for on-chain markets by aggregating real-time data supplied by exchanges and market participants.

Microsoft removes Mico from Copilot Voice and transfers him to the Learning Center as a tutor.

Microsoft has removed the anthropomorphic chatbot Mico from Copilot voice features and moved it to the Learn Live learning center to serve as a "tutor". The support page states that the interaction experience accumulated by Mico is shaping the future direction of Copilot, and Copilot voice interaction features remain available. Mico was launched in October 2025, enabled by default in voice mode, and previously included an Easter egg where clicking turns it into Clippy.

SEC Exempts AI Data Center ABS from Core Regulatory Requirements, Further Opening Financing Channels for Tech Companies

According to Bloomberg, the U.S. Securities and Exchange Commission (SEC) recently issued an internal letter explicitly exempting asset-backed securities (ABS) related to AI data centers from core investor protection regulations introduced after the 2008 financial crisis, including the "risk retention" clause requiring issuers to retain a portion of the debt. The SEC determined that data centers are not financial assets that liquidate over time, therefore securities linked to them should not be subject to the same regulatory constraints as ABS related to auto loans or mortgages. Although this move does not constitute a formal rule change, since companies had previously voluntarily complied with relevant regulations out of compliance prudence, the substantive impact cannot be underestimated. In terms of market size, the annual issuance volume of data center ABS has surged from $2.4 billion in 2020 to $15.5 billion in 2025, growing more than sixfold in five years, and is expected to hit a new record high in 2026.

朝鲜黑客组织 Kimsuky将 AI 武器化,针对加密货币领域发动更隐蔽网络攻击

According to Bitcoin.com, cybersecurity company Genians Security Center released an analysis report stating that the North Korean Reconnaissance General Bureau-affiliated hacker group Kimsuky is building and testing an AI-centric cyberattack tool suite. Researchers discovered traces of the deployment of three local AI platforms, Ollama, GPT4All, and Msty, in their infrastructure, as well as AI development framework components such as Microsoft Semantic Kernel and LLaMaSharp, indicating that the organization is systematically developing dedicated AI attack tools rather than just making temporary attempts. Since early 2026, Kimsuky has used high-quality documents created by generative AI for spear-phishing attacks targeting the virtual assets, financial investment, and game development sectors; AI-generated professional documents have significantly reduced the effectiveness of traditional phishing email identification. The attack vector consists of ZIP archives disguised as legitimate documents, containing malicious LNK files that can silently execute PowerShell commands in the background after being triggered.

NVIDIA Plans to Invest $3 Billion in Lancium to Support "Stargate" Data Center Project

NVIDIA plans to invest up to $3 billion in power infrastructure developer Lancium, with an initial investment of $2 billion to acquire approximately 20% equity, and an additional $1 billion may be added subsequently if milestones such as grid connection are met. Lancium is backed by Blackstone Group, and its "Clean Campus" located in Abilene, Texas is the site of the first phase of NVIDIA's "Stargate" AI supercomputing data center project. The company is currently valued at approximately $10 billion and is evaluating an IPO in 2027.

Hyperliquid Policy Center Submits Statement to CFTC, Calling for Support of On-Chain Perpetual Futures Innovation

Odaily News - Hyperliquid Policy Center (HPC) announced that it has submitted a policy statement regarding the Commodity Futures Trading Commission (CFTC) Agricultural Advisory Committee meeting, supporting U.S. users' participation in the on-chain derivatives market and calling on regulators to adopt a gradual path to promote the development of innovative products such as Perpetual Futures.HPC stated that the U.S. derivatives market originated in agriculture. In the 19th century, grain exchanges in the U.S. Midwest used futures contracts to help farmers and traders discover prices and manage future delivery risks. Since 1922, the U.S. futures market had been regulated under the Department of Agriculture for a long period, until Congress established the CFTC in 1974, placing oversight of the agency under the jurisdiction of the Senate and House Agriculture Committees. Modern derivatives regulation should still revolve around the actual users of the market. Agricultural producers and processors have always been important constituents served by the CFTC, and market participants' needs for product choice, risk management tools, and market innovation should also serve as important references for the evolution of regulatory policy.HPC noted that perpetual futures are now becoming an important innovative derivative in the digital asset era. The committee's discussions on product choice, risk management gaps, and market modernization are highly relevant to current regulatory efforts to explore a regulatory framework for on-chain derivatives. In the submitted statement, HPC put forward three key points:1. Market choice is crucial for risk management. Users in agricultural and other derivatives markets need more tool options. Past experience with restricting innovative products suggests that closing off market choices without adequate evaluation can impose costs.2. A phased approach by the CFTC to regulating perpetual futures is a reasonable direction. HPC stated that the development of new derivatives should be driven by end-user demand rather than relying solely on regulatory presuppositions.3. Public blockchains can enhance the efficiency of financial infrastructure. HPC believes that blockchain technology can modernize clearing and settlement systems, improve collateral liquidity, while continuing to comply with the Commodity Exchange Act's requirements regarding market integrity and risk protection.

Bitdeer Signs 16-Year AI Data Center Lease, Total Contract Value Reaches $4.7 Billion

Odaily News: Bitdeer announced that its subsidiary Tydal Data Center AS has signed a 16-year data center hosting and services agreement with Volta Tydal AS, which will provide 121 MW of IT load capacity (approximately 133 MW total power) at the Tydal AI/HPC campus in Norway, all to be deployed with NVIDIA GPUs to serve a leading AI laboratory. The total expected contract payments during the base term are approximately $4.7 billion, with an 8-year renewal option attached, bringing the potential total contract value after renewal to approximately $8 billion. (Stocktitan)

Hut 8 Releases Q2 2026 Financial Report, Completes Commercialization of First GW-Scale AI Data Center Campus

According to PR Newswire, crypto mining company and energy infrastructure platform Hut 8 Corp. (NASDAQ/Toronto Stock Exchange: HUT) released its second quarter 2026 earnings report. Key highlights are as follows: In terms of commercialization, the company completed the commercialization of its first gigawatt-scale AI data center campus, Beacon Point, and signed a second 352 MW IT lease after the quarter ended, with a total base period contract value of approximately US$26.6 billion, expected annual average Net Operating Income (NOI) to exceed US$1.75 billion, covering 949 MW of contracted IT capacity, with all lessors being investment-grade counterparties. In terms of financing, the company completed US$7.5 billion of investment-grade project financing in a single quarter, including US$3.3 billion for the River Bend campus and US$4.25 billion for Beacon Point Phase I, all being non-recourse non-dilutive financing, setting a precedent for investment-grade construction financing for single-sponsor data center projects. In terms of finance, total revenue for the second quarter was US$74.9 million, a year-over-year increase of 81% (US$41.3 million in the same period last year); net loss was US$177.1 million, primarily due to an unrealized loss of US$138.6 million on digital assets; adjusted EBITDA was US$10.45 million, a year-over-year increase of 149%. In terms of construction, the two major campuses, River Bend and Beacon Point, combined

Korea Launches AIDC Alliance, Plans to Build 18.4GW AI Data Center Infrastructure

Odaily News The Ministry of Science and ICT and other relevant government agencies, together with industry players, established the AIDC Alliance on July 29, with plans to cultivate Korea's AI data center ecosystem as a national strategic industry. The initiative includes building 18.4GW of AIDC infrastructure, cross-ministerial financial support, and the formation of a working group to promote packaged exports for global industrialization. Morgan Stanley recently defined AI infrastructure as a system comprising seven value chain segments: semiconductor processes, NPUs, CXL and memory server components, server integration, networking, internal power and liquid cooling, and external power and grid infrastructure. The Korean proposal suggests placing government-funded research institutions at the center of AIDC full-stack technology development and comprehensive pilot projects, with organizations such as KIST, ETRI, KISTI, KIMM, KERI, and KIER covering areas including semiconductors, AI chips, supercomputing, liquid cooling, power grids, and distributed power generation. The proposal also recommends designating the "K-AIDC Full-Stack Integrated Pilot Project" as the first national strategic research task following the abolition of the PBS system, aiming to develop a liquid-cooled, NPU-integrated, grid-connected modular AIDC reference system with over 50% domestic NPU adoption within three years, while establishing a nationally certified pilot center.

Goldman Sachs: AI Enterprise Adoption Rate Rises to 21.5%, Data Center Construction Jobs Increase by 290,000

According to TechFlow Research, Goldman Sachs' July AI Adoption Tracker Report shows that the U.S. corporate AI adoption rate rose to 21.5%, an increase of 0.9 percentage points from the previous month, and is expected to reach 24.3% in six months. The Gallup survey shows that 47% of U.S. employees stated that their organizations have adopted AI, higher than 41% in the previous quarter. Semiconductor revenue is expected to reach $834 billion by the end of 2026; AI-related hardware investment has surpassed 2022 levels, reaching $463 billion, accounting for 1.4% of GDP. Data center-related construction jobs have increased by 290,000 since 2022, with an average monthly increase of about 14,000. Layoffs caused by AI cumulatively reached 102,000 in the first half of the year. Goldman Sachs believes that AI is moving from the proof-of-concept stage to the actual deployment stage, economic penetration is accelerating, but the labor impact remains concentrated in specific industries. Academic research shows that AI boosts productivity by an average of about 23%, and industries with higher adoption rates have shown signs of accelerated productivity growth. Goldman Sachs' judgment is that AI is reshaping the economic structure, and the market may be underestimating the depth of AI's integration into the economic system. Goldman Sachs Research Report Analysis: Corporate AI adoption rate rose to 21.5%, data center construction jobs increased by 290,000.

Siemens Research: AI and Digital Infrastructure Are Becoming Essential for Commercial Real Estate Operations, Implementation Still Faces Challenges

According to Forbes, Siemens' latest "Infrastructure Transformation Monitor" (ITM) shows that against the backdrop of rising operating costs and stricter ESG compliance requirements, digital infrastructure and AI are gradually becoming core tools for commercial real estate portfolio management. The report shows that 52% of commercial real estate leaders expect digital technology to bring significant productivity improvements, and 59% of respondents expect AI to deeply reshape building operation models within the next three years, with main application scenarios covering predictive maintenance, HVAC optimization, automatic fault detection, and energy management. However, currently only 37% of organizations have reached maturity in digital system integration, and 36% of organizations stated they are scaling AI and digital twin technology; fragmented data environments and insufficient system interoperability remain the main bottlenecks. The report cites the practical case of the Pennsylvania Convention Center: the center reduced energy consumption by 18% through digital transformation, achieving approximately $686,000 in operating savings, and successively obtained LEED Gold and GBAC STAR certifications, confirming the substantive role of digital investment in reducing operating costs and enhancing the long-term value of assets.

Serenity: AI Data Center InP Laser Supply Gap May Exceed Memory Chips, Highlighting the Value of Optical Communication Bottlenecks

Odaily News, "White-Haired Stock God" Serenity stated that Lumentum CEO Michael Hurlston has issued a warning that the indium phosphide (InP) laser supply chain for AI data centers is facing a more severe supply gap than memory chips. Even with Lumentum's five InP wafer fabs, product shipments could still fall more than 30% short of customer demand, indicating that AI infrastructure expansion is encountering a critical bottleneck in key optical communication components.Serenity pointed out that current supply pressure is mainly concentrated in the EML (electro-absorption modulated laser) segment, but the InP laser shortage could continue to spread. He remains bullish on the "bottleneck investment" opportunities in the optical communication laser supply chain, keeping an eye on companies including Applied Optoelectronics (AAOI), Sivers Semiconductors (SIVE), Lumentum (LITE), and Coherent (COHR). As AI data center capital expenditures continue to rise, optical modules, lasers, and other infrastructure segments that were previously undervalued by the market are now undergoing repricing, and the InP laser supply bottleneck could become a key limiting factor in the expansion of AI computing power.

Galaxy Acquires 500 Acres in Texas to Build AI and HPC Data Center Campus

: Galaxy posted on the X platform, stating that Galaxy is expanding its data center footprint. It has signed a development agreement and acquired 500 acres of land in McGregor, Texas, for the construction and operation of an AI and HPC data center campus. Galaxy is advancing the power infrastructure required to support the campus, with the initial development phase expected to reach 74 megawatts.Galaxy believes the McGregor campus has the potential to develop into a multi-hundred-megawatt site by 2030. This campus will become Galaxy's second major data center investment in Texas, following its 1.6-gigawatt flagship Helios campus in West Texas.

$3.5 Billion Debt Financing: Galaxy Digital to Support Data Center Projects

sources familiar with the matter revealed Galaxy Digital Inc. plans to issue approximately $3.5 billion in high-yield bonds for the first time, aiming to fund data center projects associated with CoreWeave Inc. According to the sources, Galaxy Digital is marketing the bond issuance to investors at a yield of around 9%. Morgan Stanley and Goldman Sachs are acting as underwriters for this issuance, with pricing expected to be finalized on Thursday. The sources requested anonymity as the information has not yet been made public.

SemiAnalysis: Data Center Power Grid Bottlenecks Intensify, Backup Gas Generators Shifting to Round-the-Clock Power Supply

SemiAnalysis stated on X platform that traditional backup power equipment for data centers——Reciprocating Engines——are transitioning from an "emergency backup" role to a primary round-the-clock power source to meet the massive electricity demand driven by AI computing expansion.SemiAnalysis points out that in the past, data centers typically only activated on-site reciprocating engine backup power during grid failures, operating for just a few hours annually. However, with increasing grid capacity constraints, more data centers are repurposing these devices for Prime Power, enabling continuous electricity supply.According to SemiAnalysis' energy model estimates, manufacturers of reciprocating engines, including Caterpillar, INNIO, and Cummins, are expected to have signed approximately 1 GW in Behind-the-Meter (BTM) project orders this year; order volumes for 2027 and 2028 are each projected to exceed 4 GW.SemiAnalysis notes that current order volumes are still very limited compared to future potential demand. After modeling US grid constraints, they found that existing power supply margins are expected to be exhausted between 2027 and 2028, and planned utility-scale new generation capacity through 2030 is insufficient to meet the growing data center load demand.Based on its data center model, SemiAnalysis estimates that approximately 140 GW of identified data center projects still need to sign power supply contracts and may adopt behind-the-meter power supply models.Among the technologies available for behind-the-meter power supply, including reciprocating engines, aeroderivative gas turbines, and fuel cells, SemiAnalysis expects reciprocating engines to capture the largest share.The institution believes that reciprocating engines offer the best balance between cost and deployment speed, while also providing modular advantages that support phased data center expansion. Compared to fuel cells, they boast higher commercial maturity and financing feasibility. As manufacturers ramp up production capacity in the coming years, reciprocating engines are poised to become critical infrastructure for AI data centers to solve power bottlenecks.SemiAnalysis states that AI computing growth is driving data centers to shift from relying on traditional grid power to a hybrid model of "grid plus self-owned energy," with energy infrastructure emerging as a new core constraint for AI industry expansion.