2026-05-23 Суббота

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Trump Pushes Digital Assets Into U.S. Banking System

President Trump has issued an executive order directing federal agencies to revise financial regulations to integrate digital assets and fintech into the traditional banking and payments system. The policy aims to streamline rules, lower barriers to entry, and encourage collaboration between fintech firms, banks, and regulators. A key directive is for financial regulators to identify and amend any rules that unfairly prevent fintech companies from partnering with federally regulated banks. Specifically, the order requires the Federal Reserve Board to evaluate its system for providing payment accounts and services to non-bank financial institutions. This review includes examining whether Federal Reserve banks can issue such accounts independently, which could benefit entities like Wyoming's Special Purpose Depository Institutions (SPDIs). The move follows recent limited master account access granted to the crypto exchange Kraken and ongoing Fed efforts to establish a more formal framework for such access.

TheNewsCrypto2 дня назад 12:14

Trump Pushes Digital Assets Into U.S. Banking System

TheNewsCrypto2 дня назад 12:14

AI Saved a Group of New Energy Investors

The article "AI Saves a Group of New Energy Investors" details a remarkable turnaround in the green energy investment sector, driven by its convergence with artificial intelligence infrastructure. After a prolonged downturn marked by valuation slumps and funding cold spells since 2022, the sector has experienced a dramatic resurgence in 2026. This shift is attributed to new policies, particularly the "AI-Energy Synergy" national strategy, which mandates green power and energy storage systems for new large-scale computing centers. This redefines green electricity and storage from traditional manufacturing into core, indispensable assets for AI's operational backbone, creating a new narrative where "computing power equals electricity, and green power equals assets." This paradigm change is reflected in surging market performance. Power stocks like Datang Power have seen massive gains, and green energy ETFs have recorded significant capital inflows. The IPO market is also active, with companies like Sige New Energy listing successfully. Investment and financing have accelerated sharply, with major expansion projects and large-scale IPOs like China Resources New Energy's record-breaking offering. Notably, some top projects have seen valuations rebound by approximately 60%. The article highlights that the previous industry trough became a prime investment window. With AI-driven demand predicted to create massive power shortfalls (e.g., a projected 55GW gap for data centers), sectors like energy storage, grid upgrades, and green power are seeing explosive growth. Investors are now prioritizing areas like power management, large-scale storage, virtual power plants, and supporting technologies like liquid cooling—the "pick-and-shovel" plays of the AI infrastructure boom. Examples like KKR's highly successful investment in cooling company CoolIT Systems underscore the lucrative opportunities. In conclusion, the integration with AI has sparked a fundamental revaluation of new energy assets. For investors who endured the sector's低谷, a harvest season has arrived, with the broader investment upswing seemingly just beginning.

marsbit2 дня назад 11:53

AI Saved a Group of New Energy Investors

marsbit2 дня назад 11:53

Learn Codex with the "Morning Briefing": Six Replicable Levels of Use

This article introduces a "Morning Briefing" as a simple, progressive framework for learning to effectively use Codex (an AI assistant), moving from basic information gathering to a more sophisticated, autonomous work partner. It outlines six actionable levels: **Level 1: Basic Information Query.** Start by simply asking Codex to check your Slack, Gmail, and Calendar to summarize what needs your attention today. **Level 2: Personalization with an Agents File.** Create a persistent file containing your default preferences for the briefing's format and content, so it's consistently useful. **Level 3: Automation.** Set the briefing to run automatically every weekday morning, creating a reliable starting point for your day. **Level 4: Project-Specific Briefings.** Instead of one overwhelming summary, create separate, dedicated threads for different projects (e.g., a launch, recruitment), each with its own focused briefing. **Level 5: Drafting Follow-Up Actions.** Elevate the briefing from a summary to an action starter by having it draft replies, prepare meeting notes, or highlight stalled decisions—ready for your review. **Level 6: Building a Memory System (Vault).** Integrate a knowledge vault (a structured file system) where important recurring information (project statuses, key people, decisions) is stored and updated. The briefing consults this vault to provide richer context and learns over time. The approach's strength is its incremental nature. Each level teaches a core Codex capability (connectors, personalization, automation, project context, assisted work, persistent memory) within a familiar, practical workflow, avoiding overwhelming theoretical concepts. It transforms a simple daily check-in into a personalized, evolving work operating system.

marsbit2 дня назад 11:16

Learn Codex with the "Morning Briefing": Six Replicable Levels of Use

marsbit2 дня назад 11:16

Japan To Recognize Foreign Stablecoins As Electronic Payment Instruments Starting June 1

Japan's Financial Services Agency (FSA) will officially recognize certain foreign trust-issued stablecoins as "electronic payment instruments" under its Payment Services Act, effective June 1, 2026. This amendment excludes qualifying foreign stablecoins from being classified as securities, allowing domestic licensed operators to handle them. To qualify, foreign issuers must be licensed under laws equivalent to Japan's, cooperate with FSA oversight, manage reserve assets under foreign law with proper audits, maintain anti-crime systems, and ensure the stablecoin and its reserves are in the same currency. Eligibility for reliable redemption at face value will be assessed case-by-case. This move expands Japan's stablecoin regulatory framework established in 2022, part of broader efforts to regulate crypto assets. Recent steps include classifying crypto as financial instruments, proposing a 20% flat tax on crypto income, and issuing joint guidance for crypto use in real estate transactions, emphasizing KYC and anti-money laundering checks.

bitcoinist2 дня назад 11:08

Japan To Recognize Foreign Stablecoins As Electronic Payment Instruments Starting June 1

bitcoinist2 дня назад 11:08

On the Eve of the Tech IPO Boom, Polymarket Joins Forces with NASDAQ to Seize 'Valuation Authority'

At the dawn of a major tech IPO wave, prediction market platform Polymarket is forming an exclusive partnership with Nasdaq Private Market (NPM) to launch contracts predicting the valuations of pre-IPO giants like OpenAI, Anthropic, and SpaceX. This move aims to capture the "valuation adjudication right" in the booming but opaque private market, where accurate valuation data is scarce for retail investors. Facing stiff competition from rival Kalshi, which holds an 89% US market share and full regulatory approval, Polymarket's deal with NPM is a strategic counterattack. NPM provides crucial, real-time secondary market transaction data from employee stock sales to settle the new prediction contracts. In return, Polymarket's market-generated probability data becomes a valuable "institutional signal" for NPM's clients. This follows Polymarket's broader strategy of monetizing its prediction data through partnerships with giants like ICE (Intercontinental Exchange) and Dow Jones, integrating its signals into mainstream financial data feeds and media. The Nasdaq deal specifically targets the lucrative and high-profile arena of pre-IPO tech valuations, potentially raising the entry barrier for competitors in this niche.

marsbit2 дня назад 10:35

On the Eve of the Tech IPO Boom, Polymarket Joins Forces with NASDAQ to Seize 'Valuation Authority'

marsbit2 дня назад 10:35

Stop Blindly Clicking Confirm: Ethereum Wants You to Understand What You're Signing

The article criticizes the common practice of "blind signing" in Web3, where users confirm cryptographic transactions without understanding the content, typically presented as unreadable hexadecimal code. It introduces Ethereum's new initiative, "Clear Signing," as a solution aimed at making transaction signatures human-readable. Clear Signing, based on the ERC-7730 standard, allows protocols to provide standardized, structured metadata (like a "translation dictionary") that explains the semantic meaning of a transaction—such as "Swap 1,000 USDC for at least 0.42 WETH on Uniswap V3." This metadata is stored in a public registry for wallets to fetch and display in plain language, moving beyond mere structured data formats like EIP-712. The article clarifies that Clear Signing is not an instant fix but a foundational infrastructure shift that requires widespread adoption by protocols and wallet support. It complements, rather than replaces, existing wallet security features like transaction simulation. The initiative represents a crucial step toward genuine user sovereignty by restoring informed consent, making blockchain accessible to non-technical users and addressing a long-standing security and usability debt in the ecosystem.

marsbit2 дня назад 10:30

Stop Blindly Clicking Confirm: Ethereum Wants You to Understand What You're Signing

marsbit2 дня назад 10:30

Can Alibaba Cloud Rewrite Itself?

Over the past five months, Alibaba Cloud's MaaS (Model as a Service) revenue has surged 15x, marking a strategic overhaul where the company is shifting its 17-year-old system designed for "humans using cloud" to a new paradigm centered on "Agents consuming Tokens." At its recent summit, Alibaba Cloud announced a full-stack upgrade encompassing "chip-cloud-model-inference," all optimized for AI Agents. Key launches include the new AI product portal "QianWen Cloud," hyper-node servers powered by the in-house AI chip Zhenwu M890, and the latest flagship model, Qwen3.7-Max. Senior VP Liu Weiguang described this as building "China's largest AI factory," where chips are raw materials, the cloud is the workshop, models are machines, and the inference platform is the assembly line, with Tokens as the final product. The company is now emphasizing its chip strategy, unveiling the Zhenwu M890 and a two-year roadmap for future chips. With over 560,000 chips deployed across 400+ clients, Alibaba Cloud aims to control the marginal cost per Token, mirroring Google's integration of TPU and Gemini for optimal cost-performance. The cloud infrastructure itself is being rewritten. Traditional cloud interfaces are being transformed into standardized, Agent-callable Skills. A new scheduling logic focuses on "task scheduling" over "resource scheduling" to handle the unpredictable, elastic workloads of Agents. Liu noted that AI applications now automatically provision cloud resources, with one customer's daily automated provisioning equaling two weeks of manual work. For models, the focus has shifted from conversational prowess to execution capability. Qwen3.7-Max demonstrated this by autonomously writing and optimizing a production-grade AI compute kernel for the new Zhenwu M890 chip over 35 hours, achieving a 10x performance improvement. The underlying Bailian platform was upgraded for efficiency, and it maintains an open ecosystem, hosting third-party models. This restructuring extends beyond technology to sales, organization, and metrics. Alibaba Cloud has established dedicated MaaS sales teams, separated from traditional IaaS, with new KPIs focusing on high-quality Tokens that solve real problems, the number of core business systems integrated with models, and the efficiency of Agent task completion. The underlying bet is clear: AI represents an opportunity orders of magnitude larger than before. Despite the uncertainty, Alibaba Cloud is aggressively rebuilding its entire system, betting on an AI-driven future where Tokens could become its largest product line.

marsbit2 дня назад 10:22

Can Alibaba Cloud Rewrite Itself?

marsbit2 дня назад 10:22

Those Who Rushed into SpaceX's Private Secondary Market Are Bewildered in the Greatest Wealth Creation Wave Ever

Investors are rushing into SpaceX’s private secondary market ahead of its historic IPO, but many are finding confusion instead of clarity. While early backers like Darsana Capital are poised for astronomical returns—turning a $600M bet into roughly $150B—other buyers face uncertainty about whether they actually own SpaceX shares at all. The frenzy stems from AI-driven FOMO, as soaring valuations for private companies like OpenAI and SpaceX create intense demand for pre-IPO exposure. This has fueled a booming but opaque secondary market, where special purpose vehicles (SPVs) layer investments, adding fees and obscuring ownership. Some investors are three or four layers removed from the actual stock, unable to verify their holdings. With companies staying private longer—SpaceX for 24 years—secondary trading has grown complex and risky. Platforms have faced fraud, bankruptcy, and regulatory scrutiny. Now, firms like Anthropic and OpenAI are publicly rejecting unauthorized transfers, warning that shares sold through certain platforms may be invalid. SpaceX’s IPO filing in June will finally reveal the official shareholder list, resolving these uncertainties. Until then, buying into SpaceX through secondary channels remains a high-stakes gamble—a blind box in a market overflowing with capital and complexity.

marsbit2 дня назад 10:10

Those Who Rushed into SpaceX's Private Secondary Market Are Bewildered in the Greatest Wealth Creation Wave Ever

marsbit2 дня назад 10:10

Warsh's First Conundrum: Rate Cuts, Inflation, and a Fractured Fed

Walsh's First Dilemma: Rate Cuts, Inflation, and a Divided Fed Kevin Warsh officially assumed the Fed Chairmanship on May 15th, inheriting a central bank deeply divided over inflation. Contrary to market expectations of a dovish stance due to his appointment by President Trump, Warsh's historical record shows early and consistent hawkish concerns about inflation. The Fed he leads is fractured, with three FOMC members recently dissenting against even hinting at future rate cuts. The immediate challenge is surging inflation. While the Iran-related oil shock is a temporary factor, core CPI and services inflation are accelerating, showing signs of becoming entrenched—echoing the Fed's 2022 "transitory" misstep. Warsh faces the task of building consensus within a committee where several members believe policy may not be restrictive enough, especially if the neutral interest rate (r-star) is higher than currently estimated. Politically, Warsh is caught between Trump's desire for rate cuts and the economic reality of persistent price pressures. Any move perceived as bowing to political pressure could undermine Fed independence. Market implications are significant. Long-term Treasury yields (e.g., 30-year at 5.19%) could rise further, especially if the June FOMC statement hints at possible tightening. Tech stocks face continued valuation pressure from higher rates. The key variable is progress in Iran negotiations; a breakthrough before the June meeting could temporarily ease oil-driven inflation, but stubborn services inflation would remain. All eyes are on Warsh's first post-FOMC press conference on June 17th. His wording on inflation and policy will reveal how much the market has mispriced his stance and the Fed's likely path forward.

marsbit2 дня назад 10:01

Warsh's First Conundrum: Rate Cuts, Inflation, and a Fractured Fed

marsbit2 дня назад 10:01

Decoding the Latest Holdings of "The Son of Wall Street Version" Leopold Aschenbrenner: Why Did the AI Bull King Turn to Short Nvidia?

Leopold Aschenbrenner, a renowned AI investor and former OpenAI researcher, has filed a 13F revealing a dramatic portfolio shift. He has taken a massive $8 billion short position against the entire semiconductor supply chain, including companies like NVIDIA, AMD, Broadcom, and ASML. This marks the first time in his fund's history that short exposure exceeds long exposure. His core thesis is that the bottleneck for AI investment is shifting from chip *design* to *infrastructure*, specifically power and memory. Accordingly, his long positions heavily target these areas. He maintains holdings in data center/Neocloud firms like CoreWeave, holds positions in power solutions like Bloom Energy, and has initiated new stakes in bitcoin mining companies such as CleanSpark and Riot Platforms due to their pre-existing grid access and power capacity. Aschenbrenner also increased his long bets on memory, exemplified by SanDisk, as AI models drive demand for NAND flash storage. Despite the aggressive short on semis, analysts suggest he may not be structurally bearish but rather views the chip trade as over-crowded, while seeing higher returns in infrastructure plays. Key risks identified include underestimating NVIDIA's entrenched CUDA ecosystem moat and the timing of his shorts.

marsbit2 дня назад 09:50

Decoding the Latest Holdings of "The Son of Wall Street Version" Leopold Aschenbrenner: Why Did the AI Bull King Turn to Short Nvidia?

marsbit2 дня назад 09:50

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