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first_img Pennsylvania plans to ban betting companies from providing liquidity for prediction markets, or affecting the layouts of DraftKings and Flutter

On July 22, Pennsylvania State Representative Tarik Khan introduced HB 2711, co-sponsored by 24 bipartisan legislators (20 Democrats and 4 Republicans), which has been submitted to the House Consumer Protection, Technology, and Utilities Committee. The bill aims to prohibit the provision of prediction market services to Pennsylvania residents while engaging in gambling activities in the regular business of liquidity providers or market makers, extending the restrictions to parent companies, subsidiaries, affiliates, and joint ventures, and prohibits prediction platforms from sharing revenue with gambling companies.This move could impact sports betting groups like DraftKings (which has acquired CFTC-registered Railbird Technologies and launched its own DKeX exchange) and Flutter, which are entering the prediction market-making field. The bill also sets a minimum age limit of 21, prohibits contracts involving high school sports, events with minor participation, and death markets, and requires platforms to establish anti-fraud and insider information abuse protection mechanisms.The bill does not establish a licensing system, and enforcement authority is granted to the state Attorney General. Previously, the Third Circuit Court of Appeals ruled 2:1 in April that the federal Commodity Exchange Act takes precedence over state gambling laws, but Pennsylvania has joined a coalition of 40 states advocating for sports contracts to be subject to state-level regulation.

Citrini Analyst: The progress of China's DUV is not surprising, the sell-off of semiconductor equipment stocks like ASML is excessive

Citrini analyst Jukan posted on social media that the news of China's progress in DUV lithography technology is not particularly surprising, as the market had already formed certain expectations. He pointed out that The Information's related report only cited a professor from a transportation university in China speaking at an internal meeting in June and did not disclose more substantial information. Jukan believes that the sell-off reaction seen in semiconductor equipment stocks like ASML is an overreaction to this news.According to previous reports, The Information cited sources saying that a state-owned enterprise supported by Chinese state capital has begun mass production of domestically developed DUV (Deep Ultraviolet) lithography manufacturing equipment, marking a key progress in the localization of China's semiconductor industry.Insiders stated that the enterprise plans to produce about 5 domestically made DUV lithography machines by 2026 and expand to about 20 machines by 2027. Although there is still a gap compared to the 131 immersion DUV lithography systems delivered by Dutch lithography giant ASML last year, the entry of domestic equipment into mass production is seen by the market as an important breakthrough in the localization of China's chip supply chain.

Domestic immersion DUV lithography machines have started small batch production, with plans to deliver about 5 units this year

According to a report by The Information citing informed sources, a Shanghai state-owned company whose name has not been disclosed has begun producing domestically-made immersion DUV lithography machines, planning to manufacture about 5 units this year and increase to about 20 units by 2027. The first batch of equipment will be delivered to major foundries such as SMIC, Hua Hong Semiconductor, and ChangXin Technology, but the equipment still needs to undergo verification for accuracy, stability, and production line compatibility, a process that may take several months or even longer.Currently, most components of the equipment come from domestic sources, but some key parts still rely on Japan, and the performance and manufacturing quality lag behind ASML. In comparison, ASML is set to deliver about 131 immersion DUV lithography machines as early as 2025. Although domestic equipment has made the leap from prototype testing to small-scale production, there is still a significant gap before it can replace ASML on a large scale. Previously, Reuters reported that the U.S. is considering tightening restrictions on the export of lithography equipment to China and on maintenance services in China, and the delivery of domestic equipment coincides with this backdrop.

NVIDIA releases quantum computing AI calibration model, promoting the fusion of AI and quantum

NVIDIA released the open-source AI model NVIDIA Ising Calibration 1.5, designed for the automatic analysis of quantum processor (QPU) diagnostic data, and to autonomously determine device calibration schemes, achieving automation of the quantum computer calibration process. NVIDIA stated that Ising Calibration 1.5 is a visual language model (VLM) specifically designed for quantum computing calibration scenarios, capable of understanding experimental data from quantum chips and performing "zero-shot" analysis in the absence of historical cases, while also enabling context learning (ICL) with relevant experimental samples to help continuously optimize the operational state of quantum devices.In the QCalEval quantum calibration benchmark test, Ising Calibration 1.5 averaged about 10% ahead of similarly sized open-source models in zero-shot inference capability, and when using relevant experimental cases for context learning, it showed an approximately 86.5% performance improvement over the previous generation model, surpassing multiple open-source models and approaching the level of top closed-source large models. The model has 31 billion parameters and supports operation on NVIDIA Grace Blackwell and Vera Rubin data center GPUs. It also launched an NVFP4 quantized version, which can be deployed on a single consumer-grade GPU or NVIDIA DGX Spark, significantly lowering the usage threshold for quantum laboratories.NVIDIA claims that the training data for Ising Calibration 1.5 comes from various qubit architectures, including superconducting qubits, quantum dots, ions, neutral atoms, and helium surface electrons, providing calibration capabilities for different types of quantum computing devices. Industry experts believe that automated calibration is one of the key bottlenecks in the scalable development of quantum computing. NVIDIA's launch of this AI-driven quantum calibration tool signifies that AI models are beginning to extend from traditional computing domains into the quantum hardware control layer, potentially becoming an important component of the future quantum computing industry infrastructure.
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