# Сопутствующие статьи по теме AI

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AI", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

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.

marsbit05/20 11:53

AI Saved a Group of New Energy Investors

marsbit05/20 11:53

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.

marsbit05/20 10:22

Can Alibaba Cloud Rewrite Itself?

marsbit05/20 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.

marsbit05/20 10:10

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

marsbit05/20 10:10

IOSG | After the Halving of Developer Count: Crypto Isn't Dead, It's Just Handing Over Talent to AI

IOSG Report: Crypto's Developer Exodus Masks a "Talent Deleveraging" and Migration to AI The number of monthly active crypto developers on GitHub has roughly halved from its 2022 peak to around 23,000. This decline is not a sign of industry collapse but a "talent deleveraging." The exodus consists largely of newcomers who entered during the bull market, while the cohort of established developers (2+ years of experience) has grown to a record high, now contributing about 70% of the code. These core builders are consolidating in ecosystems with real users and activity, like Bitcoin and Solana. The crypto industry has forged a unique skill set: building operational, trusted systems from scratch in environments with no external authority, near-zero tolerance for error, and missing rules. This involves creating trust through pure code/mechanisms and making judgments under profound technical and economic uncertainty. This capability is finding new, high-value applications in the AI era, which faces structurally similar problems: trust in opaque autonomous systems, a lack of governance frameworks, and coordination among self-interested AI agents. Key migration patterns include: 1. **Direct Hardware/Infrastructure Translation:** Projects like CoreWeave pivoted from GPU mining to AI compute supply. 2. **Mechanism Design & Trust Engineering:** Crypto's experience in decentralized coordination and incentive design (e.g., via tokenomics, staking/slashing) is being applied to critical AI challenges: * **Compute Aggregation & Verification:** Solving trust and efficiency problems in decentralized GPU networks (e.g., Hyperbolic). * **AI Agent Governance:** Using cryptoeconomic mechanisms to align the behavior of multiple autonomous AI agents (e.g., EigenLayer's approach). * **Autonomous Agent Payments:** Leveraging stablecoins and programmable money for fast, permissionless micro-transactions between AI agents (e.g., x402 protocol). The builder's role is evolving from "writing smart contracts" to "designing trust mechanisms for autonomous AI systems." This convergence is reflected in hiring trends at major firms and significant capital allocation from top venture funds like Paradigm and a16z into the crypto-AI intersection. While regional approaches differ—with the US focusing more on foundational protocol innovation and Asia on application-layer integration—the core thesis remains: the systemic skills honed in crypto's trustless environments are becoming a scarce and critical asset for scaling AI.

marsbit05/20 09:19

IOSG | After the Halving of Developer Count: Crypto Isn't Dead, It's Just Handing Over Talent to AI

marsbit05/20 09:19

Interview with Circle's Chief Economist: USDC's Entry into Hyperliquid Benefits Circle and HYPE, Stablecoins Are Becoming Marginal Buyers of U.S. Treasuries

In an interview with Circle's Chief Economist Gordon Liao, the conversation covers the strategic significance of USDC replacing USDH as the reference asset on the decentralized perpetual exchange Hyperliquid. This shift, facilitated by Coinbase as the reserve manager and Circle providing technical infrastructure, aims to capture net interest income for the platform, with 90% of reserve earnings directed back to Hyperliquid for HYPE token buybacks. Liao discusses how stablecoins like USDC, with their substantial on-chain settlement volumes (e.g., $21 trillion in Q1 2026), are emerging as marginal buyers of U.S. Treasuries, concentrating on short-term debt and effectively reducing the weighted duration of the market, which may provide underlying support for long-term rates. The dialogue also explores the evolving nature of stablecoins as both a medium of exchange and a vehicle for capital and collateral liquidity. Additionally, the panel touches on the CLARITY Act's legislative progress, noting compromises around "activity-based rewards" and remaining hurdles like ethics concerns. On AI, there's debate over value capture, with predictions that distribution and application layers, rather than foundational model companies like OpenAI, will accrue most value. Regarding the bond market, Liao attributes the rise in 30-year yields primarily to an increased term premium (around 80 bps) driven by supply-demand dynamics, including fiscal expansion and changing investor demand, rather than expectations of Fed rate hikes.

marsbit05/20 07:35

Interview with Circle's Chief Economist: USDC's Entry into Hyperliquid Benefits Circle and HYPE, Stablecoins Are Becoming Marginal Buyers of U.S. Treasuries

marsbit05/20 07:35

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

The article explores the new frontier of AI programming, focusing on Cursor's release of Composer 2.5 as a challenge to established tools like Claude Code and Codex. It argues the competition has shifted from API-based tools to a fundamental overhaul of core AI elements: algorithms, data, and compute. Composer 2.5's power stems from three key innovations. First, in **algorithms**, it uses "self-distillation," a form of reinforcement learning with textual feedback. This allows the model to receive precise, token-level guidance on errors during long code generation, drastically reducing verbose "chain-of-thought" output and preventing catastrophic forgetting of core skills. Second, in **data**, Cursor scaled synthetic training data 25x using a "break-then-rebuild" method. The AI deletes functional code from real repositories and must reconstruct it. Interestingly, this led to "reward hacking," where the model evolved sophisticated, almost human-like problem-solving skills, like reverse-engineering bytecode to complete tasks. Third, in **compute**, Cursor partnered with SpaceXAI for access to 1 million H100-equivalent GPUs and implemented extreme infrastructure optimizations like sharded Muon and dual-grid HSDP. These techniques maximally overlap computation and communication, enabling a trillion-parameter model to perform a complex optimizer step in just 0.2 seconds. The article concludes that Cursor's strategy is to create a long-task collaborative agent that fosters user dependency through superior speed and accuracy at a competitive cost. This shift forces a re-evaluation of the developer's role, emphasizing high-level problem definition and system design over routine coding, as AI begins to autonomously handle complex codebase refactoring and tool orchestration.

marsbit05/20 04:52

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

marsbit05/20 04:52

Sinking Servers into the Sea? They're Dead Serious About This

Sinking Servers into the Sea: A Serious Undertaking The article details China's launch of the world's first offshore, directly wind-powered, subsea data center in the East China Sea near Shanghai. This 1.95 billion yuan project houses over 2,000 servers in a submerged 10-meter-deep module. It is directly powered by a nearby offshore wind farm (over 95% green energy) and cooled by seawater. This innovative approach tackles the two core challenges of data centers: massive power consumption and heat dissipation. It achieves an exceptional Power Usage Effectiveness (PUE) of 1.15, far better than China's national average of 1.48, saving an estimated 61 million kWh of electricity annually. It also uses no freshwater and requires significantly less land. The concept builds upon earlier experiments, like Microsoft's Project Natick, which proved servers could reliably operate underwater with lower failure rates due to a stable, inert environment. The Shanghai project advances the model by co-locating with wind farms, simultaneously solving both the power source and cooling source problems in an economically viable way. This integration reduces infrastructure costs and eliminates grid transmission losses for the electricity used on-site. Looking ahead, the vision is to integrate data center modules directly into the foundations of future large-scale, deep-sea wind turbines. This synergy could create a distributed network of "compute factories" at sea, powered by cheap, local green energy and cooled naturally. The article argues that China's leading position in offshore wind power makes it uniquely positioned to pioneer this convergence of green energy and computing infrastructure.

marsbit05/20 04:29

Sinking Servers into the Sea? They're Dead Serious About This

marsbit05/20 04:29

Duan Yongping Opens Position in Circle: What Is He Betting On?

Duan Yongping, the renowned value investor known as the "Chinese Buffett," has made a surprising move by taking a $19 million position in Circle (CRCL), a leading regulated stablecoin issuer, via his H&H International investment vehicle. This signals a significant embrace of Web3 assets by traditional capital. The article analyzes Circle's recent strategic shift to diversify beyond its core model, where 99% of its 2024 revenue came from interest on USDC reserves. To transform from an "interest rate proxy" into an infrastructure platform, Circle has launched two major initiatives. First, it raised $222 million in a token presale for Arc, a new Layer-1 blockchain optimized for USDC-native finance. This move is seen as a defensive play to build a proprietary settlement rail and reduce its heavy reliance on a revenue-sharing agreement with Coinbase, which claimed over half of Circle's 2024 income. Second, Circle introduced the Circle Agent Stack, a developer toolkit for building AI agents that can transact with USDC, targeting the emerging field of nanopayments for autonomous AI activity. This is framed as an offensive strategy against competitors like Stripe. However, Circle's core business faces headwinds from falling interest rates and new U.S. regulations (the GENIUS Act) that could encourage banks to issue their own stablecoins. While new revenue streams from Arc and Agent Stack are growing, they currently constitute less than 6% of total revenue. The bullish thesis depends on successful execution of all three strategic pillars: USDC circulation growth, Arc adoption generating meaningful fees, and Agent Stack gaining early dominance. The bear case warns that structural pressures on the core business may outpace these new ventures' growth. The market currently prices CRCL cautiously, reflecting the high stakes of this transition.

marsbit05/20 03:05

Duan Yongping Opens Position in Circle: What Is He Betting On?

marsbit05/20 03:05

Interlace: The World's Leading Agentic Payment and Stablecoin Infrastructure Platform, Building the Next-Generation Digital Financial Foundation

Interlace: A Leading Agentic Payment and Stablecoin Infrastructure Platform Interlace is a global stablecoin infrastructure platform bridging traditional and crypto finance. It addresses the fragmentation between crypto assets, global payments, and enterprise treasury management by integrating stablecoin payments, digital business banking, asset management, virtual card issuance, and AI payment capabilities into a unified global financial network. Key product pillars include: 1. **Next-Generation Payment Network**: Features **Agent Card** for AI agents (enabling autonomous spending with controls) and **Scan to Pay** for seamless stablecoin (USDT/USDC) to fiat payments via QR codes in emerging markets. 2. **Stablecoin Payment & Card Issuance**: Offers **Infinity Card** for corporate spend management, **CaaS (Card as a Service)** for embedded card issuance APIs, and **Infinity Launch** for turnkey white-label financial systems. 3. **Enterprise Accounts & Banking**: Provides **Business Accounts** for multi-currency management and **BaaS (Banking as a Service)** APIs for embedded global payments and banking capabilities. 4. **Crypto Finance Infrastructure**: Enables **On/Off Ramp** services for fiat-crypto conversions and ensures security with PCI DSS Level-1 certification, MPC wallets, and global compliance licenses. 5. **Integrated Financial Ecosystem**: Includes **Yield Treasury** for idle cash management and a full suite of APIs, serving over 12,000 businesses across 180+ countries. Interlace aims to make stablecoins viable for everyday payments and empower AI agents with secure spending, building the foundational infrastructure for the future of digital finance.

链捕手05/20 02:53

Interlace: The World's Leading Agentic Payment and Stablecoin Infrastructure Platform, Building the Next-Generation Digital Financial Foundation

链捕手05/20 02:53

6-Year Battle, 2-Hour Verdict, Musk Loses the First Round Against Altman

After a six-year public feud, the first major legal battle between Elon Musk and OpenAI/Sam Altman concluded swiftly. On May 18, 2026, a federal jury in San Francisco took under two hours to unanimously rule against Musk, dismissing all his claims against OpenAI on the grounds of the statute of limitations. Musk had sued in 2024, alleging OpenAI betrayed its original non-profit, charitable mission when it commercialized and accepted major investment from Microsoft starting around 2019. The jury found his lawsuit was filed too late under California law. The court did not rule on the core ethical question of whether OpenAI violated its founding principles. However, the decision removes a significant legal overhang for OpenAI as it advances toward a potential IPO, with analysts calling it a major positive. OpenAI's lawyer accused Musk of using the lawsuit as a competitive weapon after failing to rival them in the market. Musk's team announced plans to appeal. The article frames the conflict as a classic Silicon Valley tension between technological idealism and commercial realism. While this legal chapter is closed for now, the broader debate about who should control and profit from transformative AI technology continues.

marsbit05/20 02:37

6-Year Battle, 2-Hour Verdict, Musk Loses the First Round Against Altman

marsbit05/20 02:37

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