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first_img DBS and Citibank completed weekend USD cross-border payments through the Swift digital ledger

DBS and Citibank's New York office completed a cross-border payment in US dollars between Singapore and the United States on September 5 using tokenized deposits through the Swift Digital Ledger. The transaction was executed over the weekend and took only a few minutes, while traditional cross-border payments typically take up to two business days, allowing businesses to avoid losing time due to time zone differences and weekend gaps. This is the second confirmed real-time application of the ledger, following HSBC and Standard Chartered's completion of the first real-time tokenized deposit cross-border transaction in August. Swift announced the ledger's preliminary availability on July 9, with 17 banks ready to pilot it, and DBS is the only bank headquartered in Asia among the 12 core design group members. DBS Group Chief Operating Officer Rachel Chew stated that the Swift Digital Ledger is connecting traditional banking infrastructure with emerging digital networks to drive the practical application of tokenized currency from experimentation. Citibank's Head of South Asia Services Mridula Iyer noted that weekend real-time transactions prove that around-the-clock cross-border payments have become a reality. DBS will launch DBS Token Services in 2024, offering 24/7 programmable instant value transfer services.

Gate Europe CEO Dr. Giovanni Cunti: In the interconnected digital economy, the future of liquidity lies in the efficiency of capital circulation and market connectivity

Gate Europe CEO Dr. Giovanni Cunti stated in a LinkedIn post that financial markets are becoming increasingly interconnected, with digital assets, stablecoins, and tokenized assets merging with traditional finance, reshaping the pathways for cross-border capital flow. The core of liquidity is no longer just depth and trading volume, but also the efficiency of capital circulation and the ability to access it instantly.He emphasized that future liquidity not only means more capital but also aims to make capital flow more easily and be accessed more efficiently, achieving better connections between different markets. Broad market access can break the fragmentation of liquidity and enhance the efficiency of capital operations. As stablecoins accelerate payment settlements and tokenization introduces new assets, the focus is on promoting seamless collaboration across all links.Relying on the compliance foundation of the MiCA and payment institution PI dual licensing system, Gate Europe has established highly regulated operational standards to enhance the confidence of institutions, enterprises, and investors with a clear regulatory framework. He pointed out that Europe is advancing digital asset innovation alongside regulatory compliance. Gate Europe stated that it will continue to empower this transformation and work with industry partners to shape the future together.

The Central Cyberspace Administration and six other departments issued a plan for digital and green collaborative transformation

The Central Cyberspace Affairs Commission, the National Development and Reform Commission, the Ministry of Industry and Information Technology, the Ministry of Ecology and Environment, the Ministry of Housing and Urban-Rural Development, the Ministry of Agriculture and Rural Affairs, and the Ministry of Commerce jointly issued the "Implementation Plan for Promoting Coordinated Transformation and Development of Digitalization and Greening (2026-2030)", proposing to advance the coordinated transformation of digitalization and greening during the "14th Five-Year Plan" period.The plan emphasizes empowering green and low-carbon transformation with digital intelligence technology, achieving low-cost and high-efficiency applications of artificial intelligence by 2030, significantly improving the energy efficiency of computing facilities and 5G base stations, promoting renewable energy electricity consumption in key areas such as computing facilities to reach the responsibility weight level of the respective provinces, and deepening the digital and green applications in agriculture, manufacturing, trade, consumption, and urban operation, strengthening intelligent governance of the ecological environment and digital carbon management, and solidifying the foundation for coordinated dual transformation and international cooperation.

first_img Delphi Digital: China's AI Laboratory is Transforming Intelligent Economics

Research institution Delphi Digital stated that hardware limitations are driving Chinese laboratories to shift towards cheaper models and more efficient technology stacks. Export control restrictions limit their access to advanced chips, while domestic accelerators can handle inference, but cutting-edge training remains difficult to achieve. Chinese laboratories are innovating in system efficiency, model architecture, training data, and reinforcement learning. DeepSeek has found a way to avoid GPU idle data movement, and ByteDance and Moonshot are set to release similar versions within months.In terms of architecture, training is shifting to cheaper digital formats that are compatible with domestic chips. Sparse architectures reduce the runtime per token, and the attention mechanism has been redesigned three times to control the memory costs of long context. In terms of data, denser prediction targets and better optimizers enhance the learning signal per token. In reinforcement learning, DeepSeek's GRPO has become the default recipe, with ByteDance, Alibaba, and MiniMax each launching successor plans within a year. Chinese models are now among the lowest-cost cutting-edge adjacent systems.On OpenRouter, the proportion of token consumption by Chinese developed models is expected to rise from less than 1.2% at the end of 2024 to the majority by 2026. The Chinese AI market is experiencing a price war from 2024 to early 2026, with several laboratories implying revenue multiples of about 47-117 times, while Anthropic and OpenAI are around 15-21 times. Huawei's Ascend chips are currently available for inference, and DeepSeek reportedly attempted to train R2 on Ascend but returned to NVIDIA after encountering technical issues. Domestic accelerator supply remains below estimated demand.
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