LDPR Calls for Not Banning Cryptocurrencies "Under a Far-Fetched Pretext"

RBK-cryptoОпубліковано о 2025-12-11Востаннє оновлено о 2025-12-11

Анотація

The Liberal Democratic Party of Russia (LDPR) has called for cryptocurrencies not to be banned "under a far-fetched pretext." Party leader Leonid Slutsky stated that cryptocurrencies should be legalized and regulated, framing the issue as one of technological and financial sovereignty. He argued it is impossible to "endlessly prohibit what the whole world is using" and that citizens should be provided with necessary tools for development. Meanwhile, the Central Bank of Russia (CBR) estimates there are about 1 million qualified investors in the country who could be permitted to trade cryptocurrencies after passing a test. The CBR proposes restricting non-qualified ordinary Russians from purchasing crypto to protect them from risks, though bans on holding or selling are not planned. The CBR reported an 18% decline in Russian transactions on foreign crypto exchanges in Q2 and Q3 of 2025 compared to the previous two quarters. The estimated monthly balance of Russians' funds on crypto exchanges fell by 20% to 933 billion rubles, and traffic from Russia to crypto platforms dropped by 28%. The regulator deems it crucial to legalize the crypto market but, according to First Deputy Chairman Vladimir Chistyukhin, also advocates for laws with strict restrictions and prohibitions to be adopted quickly.

The LDPR has called for not banning cryptocurrencies in Russia "under a far-fetched pretext." The party believes that cryptocurrencies should be legalized and regulated, stated LDPR Chairman Leonid Slutsky at the "All-Russian LDPR Rally 2025."

According to him, the LDPR proposes to start a dialogue on the legalization and reasonable regulation of digital assets, including cryptocurrencies. This is a matter of technological and financial sovereignty, Slutsky believes. He stated that it is impossible to "endlessly prohibit what the whole world is using."

"For development, we must already today provide our citizens with the necessary tools, not take them away under ill-conceived and far-fetched pretexts," wrote the head of the LDPR.

According to estimates by the Bank of Russia, there are about 1 million qualified investors in Russia who can try to pass testing to gain access to cryptocurrency operations. The Central Bank proposes to restrict ordinary Russians who are not "qualified investors" in the right to buy cryptocurrency to protect them from risks. Bans on storage and sale are not envisaged.

In its financial stability report for the second and third quarters of 2025, the Bank of Russia reported an 18% decrease in the volume of transactions by Russians on foreign cryptocurrency exchanges compared to the previous two quarters. According to the Central Bank's estimates, the average monthly amount of estimated balances of Russians on crypto exchanges decreased by 20% in ruble terms, to 933 billion rubles, and the volume of traffic from Russia to crypto platform websites fell by 28%, to 83.4 million visits.

The Central Bank now calls the whitening of the cryptocurrency market in Russia fundamentally important. According to First Deputy Chairman of the Bank of Russia Vladimir Chistyukhin, the regulator believes that laws for cryptocurrency operations, including strict restrictions and prohibitions, need to be adopted as quickly as possible.

In Belarus, access to the websites of major crypto exchanges has been restricted

Russia accounted for up to 31% of the traffic of the largest crypto exchanges in November

The Central Bank named Bitcoin the most loss-making asset for November when invested in rubles

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Пов'язані питання

QWhat is the LDPR's position on cryptocurrency regulation in Russia?

AThe LDPR (Liberal Democratic Party of Russia) calls for the legalization and reasonable regulation of cryptocurrencies, arguing that they should not be banned under 'far-fetched pretexts.' They believe it is a matter of technological and financial sovereignty.

QAccording to the Bank of Russia, how many qualified investors are estimated to be in the country?

AThe Bank of Russia estimates there are about 1 million qualified investors in the country who could potentially be allowed to engage in cryptocurrency operations.

QWhat restrictions does the Central Bank of Russia propose for ordinary citizens regarding cryptocurrency?

AThe Central Bank of Russia proposes limiting the right of ordinary Russian citizens (non-qualified investors) to buy cryptocurrency to protect them from risks, though there are no planned bans on storing or selling it.

QWhat key trend did the Bank of Russia report regarding Russian activity on foreign crypto exchanges?

AThe Bank of Russia reported an 18% decrease in the volume of Russian transactions on foreign cryptocurrency exchanges in Q2 and Q3 of 2025 compared to the previous two quarters.

QWhat does the Central Bank of Russia consider fundamentally important for the cryptocurrency market?

AThe Central Bank of Russia considers it fundamentally important to 'whiten' or legalize the cryptocurrency market in the country, advocating for the swift adoption of laws that include strict restrictions and bans.

Пов'язані матеріали

Comprehensive Analysis of the AI Inference Market: How Can Crypto Projects Break Through?

"AI Inference Market: A Strategic Overview and Crypto's Path to Disruption" The AI inference market, where trained models generate responses to user prompts, is now the primary economic driver, surpassing model training in value. This market is fragmented: hyperscalers (AWS, Google, Microsoft) dominate enterprise reliability; specialized providers (Together, Fireworks) optimize performance; and routing platforms like OpenRouter act as critical bottlenecks, dynamically allocating requests based on cost, latency, and privacy. Crypto AI networks are not competing directly on reliability but are carving out distinct niches: permissionless access, lower-cost supply, privacy, verifiable computation, and agent-native payments. Key projects include Chutes (decentralized inference platform), Akash & io.net (GPU marketplaces), Targon (confidential computing), Darkbloom & Venice (private, consumer-focused inference), and NuNet (orchestration for distributed workloads). The core differentiator is that traditional providers sell trust and enterprise workflows, while crypto networks offer new incentive loops, censorship resistance, and programmable access to resources like compute. For crypto projects to succeed, key metrics are paid token volume (not just usage), sustainable GPU provider revenue, integration into routers like OpenRouter, robust verification against fraud, and genuine privacy guarantees. Ultimately, market control will belong to entities that route, verify, and settle demand—not just those supplying raw compute. The inference market is evolving to resemble a financial system, with tokens as units of account, and crypto's unique value propositions position it to capture emerging segments in this expanding landscape.

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The War Without a Unified Name: The Domestic Tech Giants' World Model Landscape

The article outlines the diverse and fragmented landscape of "World Models" in China's tech industry, where major players are pursuing similar goals under different names like world foundational models, physical AI, or integrated within autonomous driving and embodied intelligence systems. The core aim is to enable AI to create an internal, dynamic environment for simulation, reasoning, and learning, reducing reliance on infinite real-world data. This "data engine" allows for unlimited generation, experimentation, and iteration. The report categorizes the approaches of different companies: * **Internet Giants:** Alibaba is developing models for linguistic, virtual, and physical worlds (Qwen-AgentWorld, HappyOyster, Qwen-RobotWorld). Tencent's HY-World focuses on 3D, game, and social scenarios. ByteDance leverages its vast video data for a potential "digital twin" model. Huawei integrates its model into industrial applications like smart cars and robotics without separately branding it. Baidu embeds world model capabilities within its Apollo autonomous driving and Ernie systems. * **Automakers:** Companies like NIO, Li Auto, XPeng, and Geely are using world models as virtual "driving schools" and "testing grounds." They generate complex scenarios (e.g., rain, snow) to train and validate autonomous driving systems in simulation, aiming for more capable and safer AI drivers. * **Autonomous Driving Suppliers:** Firms such as Momenta, Horizon Robotics, Haomo.ai, and DeepRoute.ai are building the underlying "world engines." They focus on large-scale video generation for simulation, reinforcement learning, and enhancing end-to-end autonomous driving models, often integrating these capabilities into commercial products. While startups bring focus and innovation, they face challenges like limited data, compute resources, and deployment channels. Large companies possess these advantages and are rapidly transitioning world models from research projects into core business infrastructure powering products in vehicles, games, and industry. The conclusion is that world models represent an evolution and convergence of existing AI fields into crucial industrial infrastructure, moving the competition from simply building a model to effectively deploying it to understand and interact with the physical world.

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