该领域翻译的难点集中于技术术语的精确性（如"smart contract"需译为"智能合约"而非"智能合同"）、新兴词汇的标准化（如"零 知识证明"），以及代码与文本结合的跨维度理解。译者需同时掌握计算机科学、密码学及金融学知识，避免因误译导致技术歧 义或协议漏洞。 区块链翻译对生态发展至关重要。准确的翻译能促进技术全球化传播，助力开源社区协作，并保障法律合规性。实践中需建立术 语库、遵循技术文档规范，并结合上下文验证译文的逻辑一致性，最终实现技术内容与受众认知的无缝对接。 区块链翻译是高度专业化的领域，专注于处理区块链技术相关的文档、白皮书、智能合约代码注释及学术论文等。其核心在于准 确传递分布式账本、加密算法、共识机制等技术概念，同时确保术语的一致性和技术逻辑的严密性。 ...

编译：Ivy 编辑：Siqi Cloudflare（ $NET ）是全球最大的 CDN 供应商，同时也提供一系列网络安全相关产品，最新市值已 经达到 782 亿美元。Cloudflare 的业务和产品的演化、迭代是和互联网进化过程紧密联系在一起的， 从简单的"云端防火墙"想法到今天线上流量关键基础设施的过程背后是整个互联网爆发、新需求不 断涌现的过程。 当互联网时代经典的"搜索—分发—流量变现"开始被 AI Chatbots 颠覆，Google 选择通过 AI Mode、 AI Overview "自我革命"，Cloudflare 则是试图定义新一代互联网内容经济，提出了 Pay-per-crawl。 "Pay-per-crawl（按爬取付费）"是 Cloudflare 今年 7 月推出的服务，在 Cloudflare 的 CEO Matthew Prince 看来，网站内容创作者被 AI 爬虫爬取内容的无奈只是表象，本质上是互联网的"免费爬取-流 量变现"逻辑正在失效。 虽然" Pay-per-crawl "的商业模式不一定能跑通，但它背后反映的企业家精神很有趣，即使是近 800 亿美金市值的公司，仍然有初 ...

Core Viewpoint - The cryptocurrency market is experiencing significant volatility, with Bitcoin (BTC) hovering around $113,000 and Ethereum (ETH) around $4,200, influenced by Federal Reserve policy expectations and technical trading levels [1][2][8]. Market Dynamics - As of August 20, Bitcoin was priced at $113,621, with a daily decline of 2.3%, and the fear and greed index dropped to 44, indicating a state of fear [2]. - The focus is on the $117,000 short liquidation zone, which, if breached, could trigger a chain reaction of liquidations pushing prices above $120,000. Conversely, if BTC falls below $112,000, support may shift to $97,000 [2]. - For Ethereum, the $4,300-$4,360 range is seen as a critical battleground, with a potential surge to $4,750-$8,000 if this level is broken [4]. XBIT Exchange Innovations - XBIT decentralized exchange (DEX) is gaining traction as a solution for extreme market conditions, utilizing a unique architecture that combines on-chain order books with privacy trading, allowing users to trade without centralization risks [5][11]. - The platform operates without KYC, offering decentralized custody where users maintain control of their private keys, thus mitigating risks associated with centralized exchanges [5]. - XBIT's dynamic liquidity pool feature allows users to automatically adjust positions based on market fluctuations, helping to alleviate liquidity issues during extreme market conditions [6]. Macro Environment - The Jackson Hole global central bank meeting is a focal point, with traders anticipating a 50 basis point rate cut by the Federal Reserve in September. However, concerns arise that the safe-haven attributes of five-year U.S. Treasuries may divert funds from the crypto market [8]. - Recent data shows a net outflow of $523 million from Bitcoin ETFs, while Ethereum ETFs saw an inflow of $422 million, indicating institutional confidence in smart contract platforms [8]. Future Outlook - XBIT is positioned to lead in the DeFi 2.0 era with features like cross-chain instant swaps, enabling users to convert assets in three seconds, addressing fragmentation in multi-chain ecosystems [9]. - The upcoming AI trading assistant will leverage machine learning to analyze market sentiment and provide real-time trading suggestions for retail investors [9]. - XBIT's daily trading volume has surpassed $2 billion, reflecting a 150% increase from the previous month, driven by its decentralized architecture and technological innovations [11].

Core Insights - Ethereum is currently engaged in a significant debate regarding its future identity, focusing on whether to compete directly with emerging high-performance blockchains or to solidify its position as the most secure and decentralized settlement layer for its thriving Layer 2 ecosystem [1][12] Group 1: Layer 2 Ecosystem - Layer 2 transactions now account for 85% of the total, yet a significant amount of capital remains on the Ethereum mainnet [1][6] - The introduction of "Blobs" in March 2024 has reduced Layer 2 settlement fees to nearly zero, marking a technical breakthrough but posing economic challenges for Layer 1 validators [2][5] - The Ethereum Foundation is striving to unify the ecosystem, focusing on interoperability and user experience improvements [10][8] Group 2: Strategic Choices - The debate centers around whether Ethereum should compete in execution speed with blockchains like Solana or focus on its core strengths as a decentralized settlement layer [12] - Polygon Labs' CEO warns that over-investing in execution competition could lead to Ethereum being surpassed by competitors that specialize in this area [12] - Ethereum's core value proposition remains its high decentralization and censorship resistance, which should be prioritized over execution speed [12][13] Group 3: Market Confidence - Major financial institutions, including BlackRock, are actively tokenizing assets on Ethereum, indicating strong market confidence in its capabilities as a settlement layer [2][13] - Over 90% of real-world asset tokenization projects are being built on Ethereum, showcasing its dominance in this area [2][13] - The discussions at the EthCC conference reflect a generally optimistic outlook for Ethereum's future, driven by real utility and on-chain metrics [12][13]

Core Insights - Ethereum has evolved from a radical idea in a cramped Berlin attic to a $420 billion platform reshaping global finance and enabling decentralized finance, NFTs, and tokenization [1][2] - The integration of Ethereum into traditional financial systems is accelerating, with major companies and countries beginning to operate on its infrastructure [5][6] Group 1: Historical Context - Vitalik Buterin and a group of developers launched Ethereum's first network, "Frontier," which allowed mining and execution of smart contracts, marking its transition from concept to reality [1] - IBM recognized the potential of Ethereum early on, leading to the development of a blockchain prototype that showcased Ethereum's capabilities [2] Group 2: Current Developments - Ethereum's stablecoins are facilitating trillions in payments and asset tokenization, with significant trading volumes occurring on its network [6] - Major financial institutions are increasingly adopting Ethereum for its stability and reliability, with various second-layer networks being utilized to meet specific needs [7][8] Group 3: Future Outlook - Ethereum's transition to a proof-of-stake mechanism has significantly reduced energy consumption and set the stage for scalability improvements [9] - The ongoing development aims to enhance Ethereum's capabilities while maintaining decentralization and security, with innovations like zero-knowledge proofs being explored [9][10] Group 4: Broader Implications - The shift towards blockchain technology is seen as a gradual transformation rather than a sudden disruption, with new financial products being built on blockchain infrastructure [10] - The potential for Ethereum to become a dominant programmable layer in the financial ecosystem is recognized, with Bitcoin serving a complementary role [8]

Core Viewpoint - The rapid development of data assetization is driven by the integration of the Internet of Things (IoT) and Real Data Assets (RDA), which is reshaping the industrial logic of data assetization [1][2][5]. Group 1: Data Assetization and RDA - RDA (Real Data Assets) extends the concept of RWA (Real World Assets) by focusing on the authenticity verification and value enhancement of data, encapsulating operational data from physical assets to improve credit, transparency, and regulatory compliance [5][6]. - The true breakthrough of RDA is fueled by the real-time data continuously released by IoT devices, which serve as a natural "data mine" and "value factory" for RDA [7][8]. - RDA aims to complete the entire process of data ownership, value realization, and financialization, requiring data assets to have clear ownership, traceable sources, and continuous flow to participate in capital market transactions [8][9]. Group 2: Role of IoT in RDA - IoT enables real-time data collection from various physical assets, providing high credibility, strong relevance, and traceable foundational data for RDA, facilitating the transformation of data from a "resource" to an "asset" [7][8]. - The collaboration between IoT and RDA will gradually reveal its synergistic effects in specific application scenarios, such as dynamic transparency in battery lifecycle management and real-time operational data in offshore wind power maintenance [9][10]. Group 3: Financial Implications and Innovations - The integration of IoT, stablecoins, and RDA/RWA creates a closed-loop for machine economy, allowing devices to autonomously participate in value flow and enabling real-time settlement without traditional financial intermediaries [13][14]. - The emergence of stablecoins as a financial infrastructure will significantly enhance autonomous trading and automatic settlement among devices, improving industrial collaboration efficiency [14][15]. - The dynamic credit era will see IoT devices transition from passive data contributors to active data asset owners, leading to a transformation in asset valuation and credit assessment [16][17]. Group 4: Challenges and Future Outlook - The distributed nature of data asset circulation and pricing may introduce new risk management challenges, such as data falsification, necessitating the implementation of hardware trust mechanisms to ensure data authenticity [19][20]. - The evolution of data assetization and pricing power presents both challenges and opportunities for IoT companies, potentially allowing them to transition from "data producers" to "data bankers" [20][21].

Core Viewpoint - The 2025 WAIC Cloud Sail Awards ceremony was held in Shanghai, celebrating the achievements of young AI talents and fostering collaboration among industry leaders, academic innovators, and top investors in the AI sector [1][2]. Group 1: Event Overview - The 2025 WAIC Cloud Sail Awards ceremony took place during the World Artificial Intelligence Conference, highlighting the contributions of over 150 key figures in AI from academia, industry, and investment [1]. - The event was co-hosted by the Shanghai Artificial Intelligence Laboratory, Machine Heart, and the Global Academic Alliance for Artificial Intelligence, with support from various institutions [1]. Group 2: Award Recipients - The ceremony announced the winners of the "Brilliant Star" and "Tomorrow Star" awards, recognizing outstanding contributions in the AI field [2]. - The introduction of the "Nomination Award" aims to enhance the talent ecosystem within the Cloud Sail community [6]. Group 3: Notable Award Winners - Chen Jianyu, with over 10 years of experience in robotics and AI, has published over 70 papers and was recognized in Forbes China's "30 Under 30" [14]. - Gao Yang, known for his work in embodied intelligence and reinforcement learning, has co-founded a company focusing on humanoid robots and has received significant recognition for his research [16]. - He Conghui, a young scientist at the Shanghai Artificial Intelligence Laboratory, has published over 100 papers and created a major open data platform [18]. - Liu Bang, a professor at the University of Montreal, has made significant contributions to natural language processing and multimodal learning [20]. - Qiao Chang, focusing on intelligent photonics, has developed innovative neural network architectures for optical imaging [22]. - Wang Xiang, recognized for his work in information recommendation and large models, has received multiple prestigious awards [24]. - Wu Yi, a former OpenAI researcher, has made notable contributions to reinforcement learning and multi-agent systems [26]. - Xie Weidi, a professor at Shanghai Jiao Tong University, has published extensively in computer vision and medical AI [28]. - Zhang Chen, focusing on intelligent processor architecture, aims to optimize AI hardware design [30]. - Zhao Hengshuang, an assistant professor at the University of Hong Kong, has published over 100 papers in computer vision and machine learning [34]. Group 4: Additional Award Winners - Chen Tianlong, an assistant professor at the University of North Carolina, specializes in machine learning systems and has received numerous awards for his research [37]. - Chen Xiaokang, a researcher at DeepSeek AI, has led successful multimodal projects with significant industry impact [39]. - Cui Ganqu, focusing on alignment and reinforcement learning in large language models, has published extensively in top AI conferences [41]. - Fu Zhaoyou, recognized for his work in multimodal intelligence, has received multiple awards for his research contributions [43]. - Gong Ruihao, a vice director at SenseTime, has published over 40 papers in efficient machine learning systems [45]. - Gu Jiayuan, focusing on embodied intelligence and 3D vision, has received best paper awards at major conferences [47]. - Li Yanwei, a research scientist at ByteDance, has made significant contributions to visual language models [49]. - Long Xiaoxiao, an associate professor at Nanjing University, has led research in 3D reconstruction and neural rendering [51]. - Luo Yuyu, an assistant professor at Hong Kong University of Science and Technology, focuses on data-centric AI and has received multiple accolades [53]. - Tang Xiangru, researching multi-agent systems for biomedical applications, has published in top-tier journals [55]. - Wang Jingbo, a young scientist at the Shanghai Artificial Intelligence Laboratory, has made significant contributions to humanoid robotics [57]. - Yu Lijun, a senior research scientist at Google DeepMind, focuses on video generation and reinforcement learning [59]. - Zhang Linfeng, an assistant professor at Shanghai Jiao Tong University, specializes in efficient AI and has received multiple academic honors [61].

Core Viewpoint - The recent surge in the US stock market, with the S&P 500 and Nasdaq indices reaching record highs, is driven by better-than-expected corporate earnings, rising expectations for Federal Reserve interest rate cuts, and short-term policy benefits [1][2]. Group 1: Market Performance and Drivers - As of July 20, 12% of S&P 500 companies reported Q2 earnings, with 83% exceeding expectations, particularly in the technology sector [2]. - Nvidia's stock saw a weekly increase of 4.54%, contributing to a 1.51% rise in the Nasdaq 100 index during the same period [2]. - Factors such as "import rush" behaviors mitigating tariff impacts and high overseas revenue for tech firms benefiting from a declining dollar index are noted as key drivers [2]. Group 2: Federal Reserve and Market Sentiment - The upcoming Federal Reserve meeting at the end of July is highlighted as a potential turning point for the market, with the possibility of either maintaining or unexpectedly cutting interest rates [4]. - The delay in implementing "reciprocal tariffs" and tax incentives from the "Big and Beautiful" plan are seen as factors that have improved market risk appetite [2]. Group 3: XBIT Decentralized Exchange Features - XBIT provides a secure and transparent trading environment through three core advantages: zero-knowledge proof for privacy protection, distributed cold storage for asset security, and automated smart contracts for efficiency [5][6]. - The platform's smart contracts ensure quick settlement with a 0.1% slippage in transactions, enhancing fairness and efficiency [5]. Group 4: Regulatory Compliance and Market Adaptation - XBIT's strategy includes compliance without KYC verification, supporting 70% of token issuance on the Solana chain, and ensuring asset flow remains unaffected by regional policy restrictions [6]. - The platform's "no lockdown, no review" trading mechanism allows for seamless transactions even amid global trade tensions [6]. Group 5: Market Correlation and Investment Strategies - The correlation between the US stock market and the cryptocurrency market has intensified, with Bitcoin's price showing a 30-day volatility difference of 6% compared to the Nasdaq index [8]. - XBIT's dynamic liquidity pool technology offers investors tools to hedge against market fluctuations, allowing for quick asset switching to capture short-term gains [8]. Group 6: Future Outlook for XBIT - As global monetary policies diverge, XBIT's decentralized advantages are becoming more pronounced, with analysts predicting increased cross-market allocation demand if the Fed signals rate cuts in September [9]. - The introduction of a "meme coin staking" mechanism by XBIT allows users to participate in project governance with an annual yield of 215%, indicating potential for ecosystem expansion in the Web 3.0 era [11].

Core Applications: Building a Multi-Dimensional Security Defense System - The decentralized identity management and zero-trust model provided by blockchain technology revolutionizes identity management, allowing users to fully control their personal information through self-sovereign identity (SSI) technology and smart contracts for "on-demand authorization" [3] - Blockchain's immutable audit trails and threat intelligence sharing enhance security event traceability, enabling quick identification and freezing of malicious transactions, thus preventing significant financial losses [4] - In supply chain and healthcare, blockchain's traceability effectively combats counterfeiting, with luxury brands using it to verify product authenticity and hospitals streamlining insurance claims processes [5] - The integration of blockchain with IoT enhances attack resistance, creating a multi-layered defense network that significantly reduces the success rate of DDoS attacks [6] Technological Breakthroughs: Key to Addressing Emerging Threats - Privacy protection and quantum security advancements, such as zero-knowledge proof (ZKP) technology, improve transaction efficiency while maintaining privacy, with significant reductions in verification time [7] - The deep integration of AI and blockchain creates an "intelligent immune system," enhancing fraud detection and operational efficiency in various sectors [8] - Innovations in cross-chain interoperability and smart contract security are addressing vulnerabilities, with improved verification architectures and AI-assisted tools significantly increasing vulnerability detection rates [9] Challenges and Future Outlook - Technical bottlenecks, such as throughput and energy consumption, remain constraints for blockchain adoption, necessitating further exploration of privacy protection and regulatory compliance [10] - The establishment of industry alliances and collaborative frameworks is essential for enhancing blockchain security and preventing data silos [11] - Predictions indicate that blockchain will not only drive technological innovation but also transform security paradigms, becoming a core engine for building a trusted digital ecosystem [12]

Group 1 - The Ethereum Foundation announced its first quarter 2025 research funding list, with CertiK receiving two grants for its work in zkEVM formal verification competition, marking a significant milestone in Ethereum's scalability strategy [1] - CertiK's advanced formal verification technology achieved four breakthroughs: targeting specific code rather than abstract models, verifying unique code properties instead of general characteristics, overcoming complex verification through automation, and being suitable for large-scale production environments [1] - CertiK has established itself as a global technology leader in formal verification for zero-knowledge proof (ZKP) systems, providing high-reliability security services for Web3 projects since its inception [1] Group 2 - CertiK's formal verification technology has been widely applied in several top Web3 projects and infrastructures, including zkWasm, TON main chain contracts, Cosmos SDK, and Ant Group's HyperEnclave TEE, showcasing its broad applicability and high reliability [2] - zkEVM is an innovative blockchain technology that enhances Ethereum's scalability through zero-knowledge proofs, allowing off-chain transaction computation and providing concise proofs to validate transaction validity, thus reducing costs and increasing throughput [2] - The complexity of zkEVM poses security risks, making formal verification a crucial tool for ensuring its correctness and security by mathematically proving the system's behavior under all possible conditions [2] Group 3 - With the rapid development of blockchain technology and the widespread application of zero-knowledge proof systems, formal verification will become a key tool for ensuring system security and reliability [3] - CertiK's efforts will enhance the scalability and security of the Ethereum ecosystem while setting a benchmark for formal verification in other blockchain projects [3]