教授警告加密货币市场风险-最新加密货币新闻

币界网Pubblicato 2024-08-11Pubblicato ultima volta 2024-08-11

币界网报道:

近年来,加密货币市场迅速扩张,引起了投资者的极大兴趣。然而,康奈尔大学戴森商学院教授Eswar Prasad对这一新兴行业日益增长的风险表示担忧。Prasad强调了当今加密货币领域存在的更大危险,并警告个人投资者和金融机构都面临严重威胁。

内容隐藏1比特币的激增和政治支持2中心化的威胁:FTX案例3投资者的关键要点

比特币的激增和政治支持

比特币最近飙升至历史新高,得到了前总统特朗普和现任副总统哈里斯等政治人物的支持,放大了加密货币的吸引力。美国证券交易委员会(SEC)通过放宽监管进一步促进了这一趋势,从而允许更多的个人投资者参与市场。然而,Prasad警告说,这些新投资者往往对所涉及的风险缺乏彻底的了解,导致市场波动加剧和潜在的财务损失。访问COINTURK FINANCE获取最新的金融和商业新闻。

中央集权的威胁:FTX案

Prasad还强调了加密货币生态系统中集中化的危险,并引用了FTX的崩溃和币安的法律问题作为警示。Prasad表示,集中式结构通过集中权力破坏了区块链和DeFi的基本原则,这可能会对市场参与者和更广泛的金融体系产生广泛影响。他强调,传统金融的不足被带入去中心化金融,去中心化的金融面临更少的监管和新的风险。

投资者的关键要点

市场参与者的关键见解:

监管漏洞和集中化给加密货币市场带来了重大风险新投资者往往对市场风险缺乏了解,导致市场波动集中式结构破坏了分权原则,造成了系统性漏洞传统金融和DeFi之间的相互作用可能会导致全球金融危机。

随着加密货币行业的持续扩张,监管空白和集中化等未解决的问题变得更加棘手。投资者必须保持警惕和知情,以维护金融体系的稳定。如果没有适当的法律框架,更大的风险即将出现。

您可以在Telegram、Twitter(X)和Coinmarketcap上关注我们的新闻。免责声明:本文所含信息不构成投资建议。投资者应该意识到加密货币具有高波动性,因此存在风险,应该进行自己的研究。

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How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

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How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

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The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

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The "Iron Rule" of Chip Equipment Is Being Broken

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