EthereumNews

Focuses on innovations and dynamics within the Ethereum ecosystem, including DeFi, NFTs, Layer 2 solutions, contract upgrades, and community events, showcasing the cutting-edge development of Web3.

Ten European Banks Launch Blockchain Initiative RL1

On July 28, 2026, ten European financial institutions launched the Regulated Layer One (RL1) initiative. This open, neutral, and compliance-focused blockchain network is specialized for institutional digital asset operations. The founding members include ABN AMRO, Cecabank, Chartered Investment, Crédit Mutuel Alliance Fédérale, DekaBank, DZ BANK, LBBW, Natixis CIB, SC Ventures, and Seturion, formed as a European cooperative society (SCE) and led by Henning Voelkel, former head of SWIAT. The network is open to new participants, with NatWest currently in discussions to join. RL1 is built on the SWIAT blockchain, which will remain its software and services provider. The underlying SWIAT network, operational for three years, has processed 50 transactions totaling €700 million. The initiative is described as a collective European effort to create a foundation for a shared, openly and trustworthily managed distributed ledger. Its primary goal is to overcome fragmentation in the regulated financial sector by establishing a neutral, participant-owned, pan-European DLT infrastructure for tokenized assets, digital money, and next-generation financial services. The move responds to growing EU demand for scalable real-world asset (RWA) infrastructure, evidenced by projects like Pontes and Appia. This launch aligns with broader sector growth expectations, including Standard Chartered's forecast for DeFi and RWA market capitalization to reach $2 trillion.

cryptonews.ru07/29 07:41

Ten European Banks Launch Blockchain Initiative RL1

cryptonews.ru07/29 07:41

Trump's AI Plan Could Replace 50 State AI Laws With One Set of Rules

The Trump administration is reportedly close to establishing a national framework for regulating artificial intelligence. According to The Information, this initiative aims to replace the patchwork of approximately 50 differing state-level AI laws with a single, federal standard. The core proposal, outlined in the White House's National AI Policy Framework, would centralize AI policymaking in Washington, D.C., offering developers more consistent and transparent rules on issues like child safety, AI-generated deepfakes, and the use of regulatory sandboxes. This move addresses growing concerns that the current fragmented regulatory landscape, with states like Colorado, Texas, and California enacting their own rules, creates a compliance burden for AI companies. A unified federal system is intended to streamline regulations, allowing businesses to spend less time adapting to state laws and more time on innovation. The administration's strategy also includes an executive order signed by President Trump in June 2026, which focuses on enhancing cybersecurity for advanced AI systems. A major unresolved question in the proposal, however, is how to regulate open-source AI models. The framework does not clearly define an approach, despite expert warnings that such models pose unique governance challenges due to their free modification and distribution. While the fate of the legislative proposal in Congress remains uncertain, its existence signals Washington's intent to become the primary authority governing AI technology, a move that would have significant global implications given the dominance of U.S. firms in the AI sector.

cryptonews.ru07/28 10:01

Trump's AI Plan Could Replace 50 State AI Laws With One Set of Rules

cryptonews.ru07/28 10:01

Peskov Says Russia Is Among Top Five Leaders in AI Race. What Do Global Rankings Say?

On July 27, 2026, Kremlin spokesman Dmitry Peskov stated that Russia remains among the top five countries in the global AI development race. He acknowledged Russian models still lag behind leading U.S. counterparts but claimed they have reached a "very high level," aiming to close the gap with "superhuman efforts." He highlighted the differing approaches of Russia's GigaChat, built from scratch, and Yandex, which initially used foreign technology. However, this claim is not supported by major international AI rankings. Stanford University's Global AI Vibrancy Tool (2024-25) ranks Russia 28th out of 36 countries. The top five are the U.S., China, India, South Korea, and the UK. The Stanford AI Index Report 2026 does not mention Russia's position, focusing instead on U.S. and Chinese leadership across various metrics like investments and model performance. In benchmarks, GigaChat ranks 25th on the Russian-language LM Arena. While it passed a financial analyst exam in December 2025, its business usage costs are reportedly tens to hundreds of times higher than China's DeepSeek. In related developments, President Putin signed a law on July 26, 2026, establishing a legal framework for sovereign AI models and granting developers access to state data. Previously, Russia joined 28 other nations, including China, to establish the World AI Cooperation Organization (WAICO) in Shanghai. The article notes that rankings vary due to different criteria, such as research, investment, infrastructure, or responsible AI governance. While Russian authorities are bolstering AI through legislation and international cooperation, independent analyses suggest the country faces significant challenges, including a hardware deficit for training models, which legal frameworks alone cannot resolve.

cryptonews.ru07/28 08:56

Peskov Says Russia Is Among Top Five Leaders in AI Race. What Do Global Rankings Say?

cryptonews.ru07/28 08:56

From Sand to Chips: Hefei's Semiconductor Alchemy

From Sand to Chips: Hefei's Semiconductor "Alchemy" On July 27, 2026, a memory chip maker from Hefei made history by surpassing the market capitalization of Industrial and Commercial Bank of China on its Shanghai Stock Exchange debut. This marks the culmination of Hefei's two-decade industrial transformation, often summarized in three strategic leaps: "Screen, Chip, Vehicle." The journey began in 2008 with a bold investment in BOE, establishing China's first 6th-generation LCD panel line. The second leap was the "Project 506" in 2016, which gave birth to ChangXin Memory Technologies (CXMT). With initial backing of 14.4 billion RMB from Hefei's state-owned investment platform, CXMT aimed to break into the global DRAM market, then over 95% controlled by three overseas giants. CXMT achieved a breakthrough in 2019 by producing China's first 8GB DDR4 DRAM chip, employing "generational leapfrog" R&D to catch up. After years of significant losses, the company turned profitable in 2025. A dramatic surge followed in 2026, driven by AI-driven demand and full capacity utilization, propelling CXMT to become the world's fourth-largest DRAM manufacturer. CXMT's success is not isolated. It anchors a dense, localized semiconductor ecosystem in Hefei. Within its vicinity are numerous supporting companies for equipment, materials, and packaging & testing. This cluster has fueled the regional economy, with Hefei's integrated circuit industry output growing over sevenfold between 2016 and 2025. The ripple effects extend beyond high-tech, revitalizing local communities with new businesses and services catering to the influx of workers. For individuals, Hefei offers competitive tech salaries at a significantly lower cost of living compared to major coastal cities, along with improved amenities and shorter commutes. Hefei's story demonstrates two decades of focused, long-term industrial policy, transforming the city from a provincial capital into a trillion-RMB GDP "Double Ten-Thousand" city (10 million people, 1 trillion RMB GDP). It shows how persistence in strategic sectors—turning sand into chips—can redefine a city's economic destiny.

marsbit07/28 08:26

From Sand to Chips: Hefei's Semiconductor Alchemy

marsbit07/28 08:26

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