比特币生态日报(8.28) | Fractal 80%的$FB分配给社区，Magic Eden推出NFT版Pump fun

区块律动Publicado em 2024-08-29Última atualização em 2024-08-29

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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.

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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.

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

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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.

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

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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.

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

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Harvard and Others Exit, Six Core Talents Depart in a Month: What's Happening to Ethereum?

Ethereum faces significant internal and external pressures, marked by a wave of high-profile departures from its core development team and a loss of confidence from major institutional investors. Within four months, at least seven key figures—including researchers, protocol leads, and a former executive director—have left the Ethereum Foundation. This exodus, partly triggered by controversy over a new "mission statement" requiring employee sign-off, risks derailing critical roadmap upgrades like PeerDAS and Verkle trees, and has already contributed to delays in the planned Glamsterdam upgrade. Compounding the internal instability, major institutions are reducing their exposure. Goldman Sachs slashed its iShares Ethereum Trust holdings by approximately 70%, and Harvard's endowment fund completely exited its $87 million Ethereum ETF position. Concurrently, the Ethereum Foundation itself has been unstaking and selling ETH for "treasury rebalancing," further unsettling the market. These challenges emerge as Ethereum's competitive dominance erodes. Its share of the total DeFi market has fallen to around 54%, with rivals like Solana and Base gaining ground. In fee revenue, it was recently outpaced by newer chains like Hyperliquid. Furthermore, a trend of institutions exploring proprietary or hybrid blockchains (exemplified by Circle's Arc) threatens Ethereum's position as the premier settlement layer for institutional assets. While founder Vitalik Buterin's vision for Ethereum as a secure, decentralized "technical sanctuary" and "world computer" remains clear, its realization is threatened by the concurrent loss of execution capability, institutional patience, and market share during a critical competitive phase.

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Harvard and Others Exit, Six Core Talents Depart in a Month: What's Happening to Ethereum?

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