A7A5 Outlines Conditions for Development of Non-Dollar Stablecoin Market

RBK-cryptoPubblicato 2025-12-15Pubblicato ultima volta 2025-12-15

Introduzione

A7A5, the issuer of the largest ruble-backed stablecoin by market capitalization (over $524 million), has outlined the necessary conditions for the development of the non-dollar stablecoin market. According to Oleg Ogienko, Director of International and Regulatory Affairs, expanding this ecosystem requires connecting different legal regimes to enable businesses to operate "without friction." He made these remarks at the Global Blockchain Show in Abu Dhabi, noting a growing interest from Middle Eastern countries in collaborating with Russia and the CIS, where demand for non-dollar payment corridors is increasing. The company is focusing on global expansion, recently participating in key industry events in India and the UAE. A7A5 sees India as a crucial hub for international payments and Web3 ecosystems, and the Middle East as a dynamic center for digital finance innovation connecting Asia, CIS, Africa, and Europe. Ogienko emphasized that true innovation is only possible through partnership with regulators, not opposition. Transparency, auditability, and clear rules are key to building trust. He stated that ecosystems like A7A5 are becoming primary tools for regional economic integration. To improve the accessibility of its ruble stablecoin for users and businesses in Asia, Africa, and South America, the company plans integrations with international platforms and wallets that support stablecoins. In a significant regulatory development, the A7A5 stablecoin was the first in R...

To expand the ecosystem of non-dollar stablecoins, it is necessary to learn how to connect different legal regimes so that businesses "can operate without friction," stated Oleg Ogienko, Director of International and Regulatory Affairs at A7A5, during his speech at the Global Blockchain Show crypto conference in Abu Dhabi. He noted the growing interest of Middle Eastern countries in cooperation with Russia and the CIS, where the emergence of payment corridors not tied to the dollar is becoming increasingly in demand.

The ruble-based stablecoin A7A5 is the largest by market cap among stablecoins pegged to assets other than the U.S. dollar. According to CoinMarketCap, its market capitalization exceeds $524 million.

With the aim of expanding its global presence, the company behind the issuance of A7A5 participated in two significant crypto industry events in early December: the India Blockchain Week 2025 conference in India and the Global Blockchain Show in the UAE. A7A5 noted that it sees India as an important intersection point for international payments, trade routes, and Web3 ecosystems, and the Middle East as one of the most dynamic hubs for innovation in digital finance, connecting Asia, the CIS, Africa, and Europe.

In his speech, Ogienko focused on how the industry is moving towards creating a sustainable, secure, and scalable infrastructure. He noted that true innovation is only possible when companies work in partnership with regulators, not in opposition to them. He shared that A7A5's experience in several jurisdictions shows that transparency, auditing, and clear rules are becoming a key factor of trust.

Ecosystems like A7A5 are becoming a primary tool for regional economic integration, Ogienko noted. To increase the accessibility of the ruble stablecoin for users and businesses in Asia, Africa, and South America, the company plans integrations with international platforms, wallets, and services that support stablecoins.

At the end of September, the A7A5 stablecoin was the first in Russia to be recognized by the CFA. This gave Russian importers and exporters the legal ability to use A7A5 tokens as a means of payment for cross-border settlements.

Experts named the most profitable Bitcoin mining equipment

YouTube launched content creator payments in a stablecoin from PayPal

Do Kwon received 15 years in prison for the collapse of the $40 billion Terra crypto project

Domande pertinenti

QWhat conditions did A7A5 identify as necessary for the development of the non-dollar stablecoin market?

AA7A5 stated that to expand the ecosystem of non-dollar stablecoins, it is necessary to learn how to connect different legal regimes so that businesses 'can work without friction'.

QWhat is the market capitalization of the A7A5 ruble stablecoin according to CoinMarketCap?

AAccording to CoinMarketCap, the market capitalization of the A7A5 ruble stablecoin is over $524 million.

QWhich two major crypto industry events did the company behind A7A5 participate in for global expansion in early December?

AThe company participated in the India Blockchain Week 2025 conference in India and the Global Blockchain Show in the UAE.

QWhat significant regulatory milestone did the A7A5 stablecoin achieve in Russia at the end of September?

AAt the end of September, the A7A5 stablecoin became the first in Russia to be recognized by the CFA, allowing Russian importers and exporters to legally use A7A5 tokens as a means for cross-border settlements.

QAccording to Oleg Ogienko, what is the key factor for building trust in the stablecoin industry?

AOleg Ogienko stated that transparency, audit, and clear rules are the key factors for building trust, based on A7A5's experience in multiple jurisdictions.

Letture associate

Little Pepe (LILPEPE) vs Bonk—Cross-Chain Meme Coin Battle Heats up as Demand Surges

The meme coin competition is shifting from community hype to technological and ecosystem advantages. This analysis contrasts Bonk, an established token on the Solana network known for its speed and low costs, with the newer Little Pepe ($LILPEPE), currently in its presale phase. Bonk leverages its mature community and Solana's infrastructure, while Little Pepe differentiates itself with a Layer 2 Ethereum solution promising tax-free trading, staking rewards, and enhanced scalability. To drive engagement, Little Pepe is offering substantial giveaways totaling $777,000. Both coins, despite their different strategies—Bonk as a proven ecosystem and Little Pepe as an early-stage utility project—are capturing significant market attention as demand surges.

TheNewsCrypto33 min fa

Little Pepe (LILPEPE) vs Bonk—Cross-Chain Meme Coin Battle Heats up as Demand Surges

TheNewsCrypto33 min fa

Crypto Crime Hit Hard: $700 Million Frozen By DOJ Strike Force

A US law enforcement task force has frozen over $700 million in cryptocurrency linked to investment scams targeting Americans. The operation, which involved cooperation from crypto exchanges and legal processes, also took down more than 500 fraudulent websites and a Telegram channel used to recruit victims. Two Chinese nationals were named in arrest warrants for operating a scam compound in Burma. In a related move, the US State Department announced a $10 million reward for information disrupting scam centers in Burma. Singaporean authorities, alongside major crypto exchanges and analytics firms, also prevented nearly $3 million in losses through a parallel operation. The scale of cybercrime remains vast, with the FBI reporting over $20 billion in losses in 2025.

bitcoinist1 h fa

Crypto Crime Hit Hard: $700 Million Frozen By DOJ Strike Force

bitcoinist1 h fa

Toncoin Fees To Drop 6x As Network Moves Toward Feeless Transactions

Telegram founder Pavel Durov announced that the Toncoin (TON) network will reduce transaction fees by six times in one week, lowering the cost to just 0.00039 TON (approximately $0.0005). This fee reduction is part of the "Make TON Great Again" (MTONGA) roadmap and will remain fixed regardless of network congestion. The update follows a recent upgrade that made the network 10 times faster and transactions nearly instant. Durov also hinted that future steps aim to make most transactions fully feeless. Although Telegram discontinued formal involvement with TON due to regulatory issues, Durov remains a strong supporter. Currently, Toncoin is trading around $1.30, down over 8% in the past week.

bitcoinist1 h fa

Toncoin Fees To Drop 6x As Network Moves Toward Feeless Transactions

bitcoinist1 h fa

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit2 h fa

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit2 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit3 h fa

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit3 h fa

Trading

Spot

Futures