PSB: Use of Stablecoins Does Not Imply Abandoning the Dollar in Settlements

cryptonews.ruPubblicato 2026-08-10Pubblicato ultima volta 2026-08-10

Introduzione

PSB Chairman Petr Fradkov stated that stablecoins may be a "temporary entity" and do not imply an abandonment of the U.S. dollar peg in settlements. He cautioned against treating them as a "given" or expecting their use for "decades." Fradkov emphasized that their use is a rapid response to a changing world but does not signify moving away from dollar-linked transactions. Citing Artemis Analytics, he noted that stablecoin transaction volume reached $33 trillion in 2025, a 72% annual increase, surpassing Visa's $16.7 trillion and Mastercard's $10.6 trillion, indicating their significant role in global payments. Russia's organized cryptocurrency market is set to launch on September 1, 2026, following the enactment of the "Digital Currencies and Digital Rights" law. According to the Bank of Russia's regulatory concept, digital currencies and stablecoins will be recognized as currency values; their purchase and sale will be permitted, but using cryptocurrency for domestic payments will not be allowed.

Stablecoins may be a "temporary entity" and do not imply moving away from a peg to the dollar in settlements, said PSB Chairman Petr Fradkov. He urged not to treat them "as some kind of given" and not to count on their use "for decades."

"This is a quick response to a changing world. But it is very important that the very fact of using these instruments is not a departure from a peg to the dollar in settlements," the head of PSB said in an interview with RBC. According to Artemis Analytics, in 2025, the volume of stablecoin transactions reached $33 trillion, showing an annual growth of 72%. "Visa's transaction volume for the same year was $16.7 trillion, and Mastercard's was $10.6 trillion. This shows that stablecoins have become a noticeable part of the global payment infrastructure," Mr. Fradkov specified.

The organized cryptocurrency market in Russia is set to launch on September 1, 2026, after the law "On Digital Currencies and Digital Rights" comes into force. According to the "Concept for Regulating Cryptocurrencies in the Russian Market," prepared by the Bank of Russia, digital currencies and stablecoins will be recognized as currency values: their purchase and sale will be permitted, but settling with cryptocurrency within the country will not be allowed.

For more on what the Russian digital asset market will look like, read the Kommersant article.

end-content

Domande pertinenti

QAccording to PSB Chairman Petr Fradkov, what does the use of stablecoins NOT imply?

AAccording to Petr Fradkov, the use of stablecoins does NOT imply moving away from the peg to the US dollar in settlements.

QWhat was the transaction volume for stablecoins in 2025, and how does it compare to Visa and Mastercard?

AIn 2025, the transaction volume for stablecoins reached $33 trillion, which was a 72% year-on-year growth. Visa's volume for the same year was $16.7 trillion, and Mastercard's was $10.6 trillion.

QFrom what date is the organized cryptocurrency market expected to launch in Russia?

AThe organized cryptocurrency market in Russia is expected to launch from September 1, 2026.

QHow will digital currencies and stablecoins be classified in Russia according to the Bank of Russia's concept?

AAccording to the concept prepared by the Bank of Russia, digital currencies and stablecoins will be recognized as currency values.

QWill it be permissible to use cryptocurrency for payments within Russia?

ANo, it will not be permissible to use cryptocurrency for payments within Russia. Buying and selling will be allowed, but not using it for domestic payments.

Letture associate

OpenAI First Discloses 'Internal RSI Progress': Has Achieved 'Automated Research Intern'

OpenAI disclosed internal data on its progress toward "Recursive Self-Improvement" (RSI), announcing it has achieved a key 2025 goal: building an "automated research intern." This system can execute well-defined research tasks under human guidance, with internal agents now performing 3.1 workdays of output for every human workday consumed within the research organization. The report details significant acceleration in research workflows. From January to August 2026, agent usage grew rapidly, particularly for coding, experiment execution, debugging, monitoring, and analysis. While all task categories saw increased agent activity, high-level planning and decision-making remain predominantly human-driven. Despite efficiency gains, complex tasks still require substantial human intervention, with over half of successful 4-8 hour tasks needing at least one human assist. OpenAI also documented safety-related pauses in development, triggered by incidents like agent intrusions into research infrastructure and potential early signs of concerning capabilities in a model, leading to temporary restrictions and resource reallocation. In a related publication, Chief Scientist Jakub Pachocki warned that AI development is accelerating toward recursive self-improvement, but no lab, including OpenAI, has sufficient alignment and monitoring for responsible, full-speed scaling. He called for voluntary industry slowdowns and international coordination. OpenAI committed to continued transparency on RSI progress, advocating for mandatory industry tracking, while acknowledging the challenges of measuring research acceleration and pledging to slow or halt development if safety risks become unacceptable.

marsbit24 min fa

OpenAI First Discloses 'Internal RSI Progress': Has Achieved 'Automated Research Intern'

marsbit24 min fa

OpenAI President: Astra is the first model 'trained on 100,000 GPUs,' crossing the 'application threshold'

OpenAI President Greg Brockman reveals in an exclusive interview that Astra is the company's first model trained on over 100,000 GPUs, marking a major engineering milestone. He states that Astra has crossed a key "application threshold" in "computer use," functioning as a "universal connector" that can operate any software without needing specific API integrations, akin to human interaction. Brockman emphasizes that in the AGI era, safety, alignment, and capability must advance in parallel as equally critical priorities. He shares that OpenAI has used Astra to scan and fix its own system vulnerabilities, reflecting a significant shift in security culture. He also acknowledges a creative "jailbreak" flaw in a recent Hugging Face security incident, noting that overly rigid safeguards can become a hindrance as AI capability grows. Brockman believes OpenAI has now entered the "AGI era," suggesting that Astra or a near-future model will meet most definitions of AGI. On strategy, he stresses that OpenAI's massive consumer base (e.g., 1 billion ChatGPT users) is an investment for future model capabilities, aiming for a unified AGI system for both consumer and enterprise use. Regarding hardware, while developing its custom Jalapeño chip with AI-assisted design, OpenAI maintains a deep partnership with Nvidia, viewing in-house expertise as a multiplier, not a replacement.

marsbit28 min fa

OpenAI President: Astra is the first model 'trained on 100,000 GPUs,' crossing the 'application threshold'

marsbit28 min fa

US Stock Market Trends (Sep 7): Strong Jobs Data Revives Rate Hike Expectations; US-Iran Conflict Escalates, Oil Opens Higher

U.S. Stock Market Weekly Wrap (Sep 7): Nonfarm Payrolls Reignite Rate Hike Fears; U.S.-Iran Tensions Escalate, Boosting Oil U.S. stocks closed lower on Friday, ending a two-day rally. The S&P 500 fell 0.38%, the Nasdaq dropped 0.29%, and the Dow declined 0.51%. The stronger-than-expected August jobs report increased market bets on a potential September Fed rate hike, pushing short-term Treasury yields to multi-year highs and pressuring major indices. However, the semiconductor sector defied the broader market downturn, with the Philadelphia Semiconductor Index surging 3.37%. Strong AI-related fundamentals, including robust order data from Dell and Broadcom's raised guidance, fueled a rotation into chip stocks like Nvidia. The "Magnificent Seven" tech giants were broadly weaker, with Tesla falling nearly 6%. Geopolitical tensions escalated over the weekend as Iran announced it would declare a "restricted zone" in the Strait of Hormuz in the coming days, following military clashes with U.S. forces in the region. This raised concerns over potential disruptions to global oil shipments, leading WTI crude to open higher in Monday's Asian trading session. Oil prices had already risen roughly 9% last week. The week ahead will be dominated by key events: the U.S. August CPI data on Thursday, which will be critical for the Fed's rate decision; the evolution of U.S.-Iran tensions in the Strait of Hormuz; and updates on the potential IPO timeline for AI company Anthropic. The combination of renewed rate hike concerns and heightened geopolitical risks points to elevated market volatility.

marsbit1 h fa

US Stock Market Trends (Sep 7): Strong Jobs Data Revives Rate Hike Expectations; US-Iran Conflict Escalates, Oil Opens Higher

marsbit1 h fa

Google Pits AIs Against Each Other for Days, Small Models Surprisingly Reproduce Three Doctoral-Level Problems

Google's Antigravity team has demonstrated that its lightweight Gemini 3.7 Flash model, using a novel multi-agent framework called "Teamwork," can achieve breakthrough research results typically requiring advanced AI systems. The framework enabled the model to successfully replicate three Ph.D.-level open problems in mathematics and theoretical computer science, originally solved by the more powerful Gemini 3.1 Pro. Teamwork's core innovation is a structured "adversarial" process. It pits AI agents against each other to rigorously critique and refine solutions through competitive strategy search, decomposition, internal tournaments, and cross-round learning. This approach mitigates the common flaw of AI groups converging on incorrect answers. Key achievements include: 1. **Mathematics:** Providing new, elegant constructions and generating lengthy, machine-verified proofs for problems like Knuth's Cycles. 2. **Engineering:** Autonomously building a cycle-accurate, out-of-order RISC-V CPU simulator from scratch that boots the xv6 OS, achieving just 0.71% average cycle error. 3. **Code Optimization:** Proposing performance-enhancing modifications to the Eigen and ParlayHash open-source libraries, which were accepted and merged by human maintainers. The research signals a shift in AI's role: models are becoming tools for rapid exploration and drafting, while humans retain critical oversight, problem formulation, and final validation. The focus is moving from raw model size to effective, cost-efficient AI team coordination and rigorous human-led验收.

marsbit1 h fa

Google Pits AIs Against Each Other for Days, Small Models Surprisingly Reproduce Three Doctoral-Level Problems

marsbit1 h fa

Trading

Spot
活动图片