普京批准《加密货币挖矿法》,俄罗斯加密货币挖矿正式合法化

marsbitОпубліковано о 2024-08-08Востаннє оновлено о 2024-08-09

要点:

  • 俄罗斯加密挖矿法现已获得总统弗拉基米尔·普京的批准。
  • 只有注册的实体和企业家才可以挖矿,而能源限制内的个人无需注册即可挖矿。
  • 该法律将在10天内生效,并于9月1日全面实施。

俄罗斯总统弗拉基米尔·普京签署了一项法律,正式将加密挖矿合法化。

挖矿

俄罗斯加密货币挖矿合法化

该法引入了数字货币挖矿、矿池、基础设施运营商等概念,明确挖矿属于营业额,不属于数字货币发行。

根据新法律,只有注册的俄罗斯法人和个体企业家才可以开采加密货币。不过,只要能源消耗符合政府规定的限制,个人无需注册也可以开采。

俄罗斯加密货币挖矿法还允许在俄罗斯区块链平台上交易外国数字金融资产。此外,俄罗斯银行还被赋予权力限制或完全禁止那些可能对金融稳定造成威胁的数字资产发行。

普京最近在一次经济会议上指出了数字货币的战略意义,强调俄罗斯必须紧急制定支持数字资产的法律框架和基础设施。该法律将在正式公布之日起十天后生效,部分条款将随后生效。

俄罗斯加密货币挖矿法即将生效

俄罗斯国家杜马上周通过了加密货币挖矿法案以及相关法规,旨在简化在央行监督下使用加密货币进行跨境支付的程序。这是在俄罗斯面临持续的国际制裁和与乌克兰冲突有关的经济压力的情况下测试数字货币的更广泛举措的一部分

俄罗斯杜马金融市场委员会主席阿纳托利·阿克萨科夫表示,新法应于9月1日前颁布。各国央行还将获得使用私人数字货币进行跨境结算和交易的权利,从而使俄罗斯成为世界数字经济的又一巨头。

Пов'язані матеріали

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit3 год тому

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit3 год тому

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit6 год тому

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit6 год тому

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit9 год тому

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit9 год тому

Торгівля

Спот
Ф'ючерси
活动图片