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June 9th - According to the Financial Times, Apollo Global Management and Blackstone Group have finalized a $35 billion private credit deal to fund Anthropics growth plans. This deal, spearheaded by these two private equity giants, is one of the largest private credit financings to date, as Wall Street banks and investment firms continue to pour money into the artificial intelligence boom. The funds will help Anthropic purchase chips developed by Alphabet. This deal highlights investors enormous enthusiasm for AI and their willingness to invest heavily in supporting the data center infrastructure and computing power needed by companies like Anthropic, OpenAI, and Meta. Neither Apollo nor Blackstone has commented on the matter.On Tuesday, June 9, the Hang Seng Index opened down 105.13 points, or 0.43%, at 24,551.93; the Hang Seng Tech Index opened down 12.39 points, or 0.26%, at 4,743.52; the H-share Index opened down 27.8 points, or 0.33%, at 8,313.56; and the Red Chip Index opened down 21.48 points, or 0.5%, at 4,313.91.Hong Kong stocks opened lower, with the Hang Seng Index down 0.43% and the Hang Seng Tech Index down 0.26%. AI applications, innovative drugs, chips, leading tech companies, and new energy vehicle companies were among the top gainers. Contron (01912.HK) resumed trading with a surge of over 110%, after receiving a mandatory cash offer from Zhuangyan-Investment-International.Hang Seng Index futures opened down 0.23% at 24,507 points, a discount of 150 points.On June 9th, the General Office of the Ministry of Industry and Information Technology and the General Office of the State-owned Assets Supervision and Administration Commission of the State Council issued a notice on jointly launching the 2026 Special Action for Real-Scene Training of Humanoid Robots and Embossed Intelligence. Adhering to application-driven development, and focusing on key scenarios in industry, special applications, and services, the action will comprehensively advance key tasks such as the construction of real-scene training spaces, the cultivation of innovative application consortia, the improvement of operational skills, and the verification of application deployment. Through real-scenario training, the action will continuously optimize the algorithms of embodied intelligence models, accumulate high-quality real-machine data, improve the performance of key components, and explore the construction of a full life-cycle management and support mechanism for humanoid robots and embodied intelligence products. By the end of 2026, key products such as humanoid robots will have completed application verification and routine deployment in a number of representative scenarios, initiating "operational mode"; more than 100 high-value application scenarios will be identified, further enriching the embodied intelligence application spectrum and driving the formation of a deployment capacity of tens of thousands of units.

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