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Moscow Exchange to Launch Its Own Digital Depository for Cryptocurrencies

Moscow Exchange is preparing to launch its own digital depository for cryptocurrency operations, independent from the National Settlement Depository, with a planned launch by late 2026 or early 2027. Several liquidity hubs are emerging, and brokers will choose between connecting to this new depository or developing their own infrastructure. The Bank of Russia has published draft requirements for digital depositories, outlining a structure similar to securities depositories and establishing minimum capital levels: 50 million rubles for basic asset accounting, 100 million for managing blockchain addresses/foreign custodian accounts, and 250 million for a settlement depository. Several major financial institutions are building their own infrastructure. Sberbank aims to launch its depository and trading platform by December 1, 2026. Alfa-Bank has begun test trading and plans a full launch and its own depository in Q4. VTB and the T-Technologies Group (using the "Atomize" platform) are also developing depositories, while SPB Exchange is ready to start operations once regulations are in place. The law "On Digital Currency and Digital Rights" comes into force on September 1, 2026, with a transition period until July 1, 2027. This sets the stage for a market with multiple independent depository infrastructures competing for licenses, creating a distributed architecture. This model spreads risk but may complicate client asset transfers, contrasting with the centralized approach seen in Kazakhstan where the National Bank acts as the primary market arbiter.

cryptonews.ru4 хв тому

Moscow Exchange to Launch Its Own Digital Depository for Cryptocurrencies

cryptonews.ru4 хв тому

Arthur Hayes Steps Up Purchases of This Altcoin, Investing $2 Million Over the Past Five Days!

Arthur Hayes, the founder of BitMEX, has significantly increased his investment in $ENA, the native token of the Ethena ecosystem, by purchasing approximately 2 million dollars' worth over the past five days. His most recent transaction involved acquiring 10.9 million $ENA tokens, valued at around $985,000, bringing his total recent purchases to 22.64 million tokens. This buying activity has drawn renewed investor attention to Ethereum-based projects and the DeFi sector. Hayes is known for his macroeconomic analyses and positive outlook on the crypto market. His substantial investment in $ENA is being interpreted as a sign of his confidence in the long-term prospects of Ethereum and specific DeFi projects. Ethena is noted for developing synthetic dollar products on the blockchain, with its $ENA token used for governance and within its ecosystem. While such large-scale purchases by prominent figures are seen as a key market indicator, experts caution that they alone are insufficient to drive price increases. Multiple factors, including overall market conditions, liquidity, investor demand, and macroeconomic events, continue to influence price movements. Analysts suggest Hayes's actions may reflect sustained interest from institutional and large investors in Ethena, but they emphasize that investment decisions should not rely solely on whale activity. A thorough evaluation of a project's fundamentals, utility, and broader market trends remains essential.

cryptonews.ru1 год тому

Arthur Hayes Steps Up Purchases of This Altcoin, Investing $2 Million Over the Past Five Days!

cryptonews.ru1 год тому

AI Takes Over the Lab? Latest Research from USTC Puts It to the Test in the Real Physical World

This study from the University of Science and Technology of China presents a real-world stress test for AI in scientific research. Researchers developed a machine-readable, modular laboratory for catalysis, consisting of 45 automated workstations. They evaluated 48 configurations combining 6 agent frameworks and 9 large language models (LLMs) across 32 expert-defined research tasks, conducting 4,608 tests. The key findings reveal a significant gap between AI's planning ability and reliable physical execution. Only 3.3% of all generated workflows (151 out of 4,608) could be executed without human correction. The best-performing agent/LLM combination achieved a 28.1% success rate. In a five-round closed-loop experiment, the AI could adjust local parameters based on results but failed at higher-level scientific replanning, such as redesigning analytical methods or correcting persistent critical omissions. Maintaining logical integrity for long-sequence workflows (over 30 steps) also proved challenging. The research distinguishes three often-conflated AI capabilities: generating plausible experimental plans, creating physically executable workflows, and performing evidence-driven strategic replanning. Results show the first does not guarantee the second, and parameter tuning is not equivalent to scientific reasoning. The platform serves as both a "testing ground" to quantify AI's scientific aptitude and a potential "training ground." By forming a "plan-execute-feedback-replan" loop with real-world feedback, it can expose AI shortcomings and generate data for iterative improvement, moving toward true end-to-end autonomous discovery.

marsbit1 год тому

AI Takes Over the Lab? Latest Research from USTC Puts It to the Test in the Real Physical World

marsbit1 год тому

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