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first_img The Central Bank of the Philippines plans to freeze the registration of payment operators for 12 months, tightening VASP regulation

The Bangko Sentral ng Pilipinas (BSP) has released a proposed announcement to suspend the acceptance of new applications for registration of payment system operators (OPS) for 12 months and to implement stricter controls on payment arrangements involving virtual asset service providers (VASP). The BSP stated that this move aims to conduct a comprehensive review of its classification and licensing framework.According to the draft, during the suspension period, the BSP will stop accepting and processing OPS applications. Applications submitted prior to the suspension can continue to be evaluated, but will not be approved or rejected until the suspension ends. Relevant entities are prohibited from conducting business activities that require OPS registration unless they obtain special authorization from the regulatory agency. In addition, BSP-regulated entities providing merchant acquiring services must connect licensed VASPs through direct merchant arrangements, and such relationships will be subject to enhanced due diligence, transaction and settlement limits, and other risk control measures.This requirement applies to virtual asset enterprises licensed, registered, or authorized by the BSP, the Securities and Exchange Commission of the Philippines, or other regulatory agencies, with VASPs being categorized alongside betting, gaming, adult industry, and money service businesses. If the draft is ultimately approved, it will take effect 15 days after publication, and the BSP is currently seeking public comments.

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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