澳大利亚公司NYBlue获得100多万克拉蓝色锆石,推出RWA代币

币界网Publicado em 2024-08-07Última atualização em 2024-08-07

币界网报道:

[新闻稿-澳大利亚布里斯班,2024年8月7日]

澳大利亚宝石公司NYBlue Pty Ltd已成为致力于重新定义全球宝石市场的关键参与者。该公司的战略投资包括一项确保控制全球蓝色锆石供应的计划,此举有可能重塑全球宝石市场的价值动态。

本月早些时候,该公司发布了白皮书,详细介绍了其“现实世界资产”加密货币的当前预售和随后的公开上市,此前该公司宣布持有超过100万克拉的稀有宝石。

NYBlue的主要战略是系统地增加其目前的持股,继续收购所有可用的柬埔寨蓝锆石,建立对供应链的控制,并可能影响这些宝石的未来价值。

今天早些时候,公司代表在CryptoBanters的市政厅播客上接受了采访,宣布推出RWA代币预售,自今年早些时候宣布以来,该预售引起了加密社区的极大兴趣。

NYBlue发布的一段视频反问:“对你的另一半来说,什么更合适的表达爱意的方式?是一块压缩的、普通的碳,还是比地球更古老、极其罕见、比钻石亮两倍的东西?

NYBlue大股东Mitch Brownlie表示:“我们认为柬埔寨蓝锆石是市场上最非凡、被低估和被低估的宝石之一,值得认可。”

澳大利亚公司NYBlue;由澳大利亚AgTech创始人兼前政治顾问资助;Mitch Brownlie最近在各种播客上讨论了这个项目;经常将NYBlue项目与之前的宝石集会进行比较;当非洲宝石“坦桑石”从默默无闻中崛起,与钻石并驾齐驱时。

坦桑石现货价格——NYBlue的灵感来源。

NYBlue从坦桑石市场的历史轨迹中汲取灵感,坦桑石价格在三年内上涨了十倍。该公司预计锆石也会有类似的发展轨迹,将其战略与过去的成功相结合,以预测其价值的潜在激增。

NYBlue此前宣布计划推出代号为ZIRC的宝石支持加密货币,其中每个代币都完全由1克拉蓝色锆石支持并可兑换。这种方法使消费者能够从蓝色锆石的崛起中受益,而不会面临与传统加密货币相关的波动风险。Zirc代币的所有者将有权随时将其加密货币兑换成宝石,以确保两种资产之间稳定的套利挂钩。

NYBlue旨在收购全球大部分宝石级蓝色锆石,有效地将自己定位为市场的主导力量。这种方法旨在对供应链施加影响,对整个行业的蓝锆石市场价值产生连锁反应。

NYBlue的战略举措不是短期的;获得数十亿美元宝石市场的控股权是一个雄心勃勃的结局。NYBlue拥有价值约3亿美元的宝石收藏,致力于在全球范围内重新定义宝石叙事。该合资企业将该公司定位为重要参与者,有可能在未来几年影响该行业的格局。

为了在宝石市场占据主导地位,NYBlue宣布了一项新的、极具颠覆性的举措;推出一种名为ZIRC的区块链支持的加密货币,区块链的每个单元都由其完全支持;可兑换1克拉蓝色锆石宝石。这种创新的方法允许个人通过提供对基础商品的敞口,而不存在与传统高度波动的加密货币相关的固有风险,从而参与蓝色锆石价值的潜在反弹。

买家可以随时选择将他们的ZIRC代币兑换成实际的宝石,有效地消除了代币价值跌至宝石本身市场价格以下的可能性,为消费者提供了有形和安全的资产。区块链技术的这种战略整合不仅提高了透明度和安全性,而且使进入国际宝石贸易的专属世界民主化。

NYBlue的预售现已在Zir.co.nz上线

关于Zirc

Zirc提供了一种完全由蓝色锆石宝石支持的加密货币。每个ZIRC代币都可以兑换1克拉的蓝色锆石,提供稳定的有形资产。该平台旨在整合区块链技术以提高透明度和安全性,使个人能够参与宝石市场,而不会面临与传统加密货币相关的风险。Zirc的方法使蓝色锆石的获取民主化,并提供了一个由现实世界资产支持的独特投资机会。

Leituras Relacionadas

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.

marsbitHá 47m

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

marsbitHá 47m

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.

marsbitHá 1h

The "Iron Rule" of Chip Equipment Is Being Broken

marsbitHá 1h

Trading

Spot
Futuros
活动图片