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iFlytek announced a significant upgrade to its deep reasoning large model, StarFire X1. As the industry's only deep reasoning large model trained using entirely domestic computing power, StarFire X1 has achieved remarkable breakthroughs in several key areas, further solidifying its leading position in the AI field.

Stanford University's AI Index Report 2025 offers a fresh perspective on the global AI landscape. The report highlights Alibaba's significant contribution, ranking third globally among major large language models, establishing it as a leading Chinese tech company. In 2024, China contributed 15 models globally, with Alibaba contributing 6, trailing only Google and OpenAI with 7 models each. This achievement reflects Alibaba's ongoing commitment to technological innovation.

At the 2025 China Mobile Cloud Intelligence Computing Conference, Yang Jie, Chairman of China Mobile Communications Corporation, revealed that by 2030, artificial intelligence (AI) tasks are projected to account for 60% of total network traffic. This indicates an increasing reliance on AI technologies in future networks, demanding more advanced compute network infrastructure. Yang Jie pointed out that the "rebound effect" of computing power is gradually emerging, with inference computing power expected to grow four times faster than training computing power by 2030. This shift will drive new demands for computing power services.

According to AIbase, Google's parent company Alphabet has reaffirmed its $75 billion capital expenditure plan for 2025 in recent earnings calls and public statements. This underscores Google's continued commitment to infrastructure development, particularly in maintaining its leadership position in Artificial Intelligence (AI). The massive investment focuses on AI computing power. As a global tech giant, Google's capital expenditure plans are closely watched by the industry. AIbase analysis indicates that the reiterated $75 billion...

At the AI Boundless Innovation Global Launch Conference held in Shanghai, iFlytek announced a significant upgrade to its deep reasoning model, Starfire X1. iFlytek's senior vice president, Yu Jidong, revealed that this upgrade will further enhance Starfire X1's performance in reasoning, text generation, and language understanding, making it comparable to industry-leading models like OpenAI's o1 and DeepSeek's R1. Initially launched in January 2025, Starfire X1 distinguishes itself with its training based on entirely domestic computing power.

SenseTime announced that its 2025 SenseTime Technology Exchange Day will be held on April 10th at 2 PM. SenseTime's SenseCore AI infrastructure is set for a major upgrade, promising exponential growth in its technological capabilities. This upgrade will significantly enhance its capabilities, particularly in AI infrastructure, embodied AI research and development, and the application of industry-specific large models. Since its launch in 2021, SenseCore has successfully integrated nationwide resources as a new type of AI infrastructure.

The Chengdu Municipal Bureau of Economy and Information Technology recently held a media briefing to release the "2025 Chengdu Artificial Intelligence Industry Chain Development Work Points." The plan outlines Chengdu's commitment to fostering the development of the AI and robotics industry, aiming for a core industry scale of 130 billion yuan by 2025, with an annual growth rate exceeding 30%. This initiative seeks to establish Chengdu as a leading national hub for AI and robotics. To achieve this goal, Chengdu will focus on the three elements of AI: computing power, algorithms, and data. Firstly, in terms of computing power...

Recently, iFlytek revealed in an institutional survey that the purely domestic computing power platform 'Xinghuo X1' is soon to launch a new version, expected to be completed within the next three months. This new version is highly anticipated, as iFlytek indicated that the platform will possess stronger mathematical problem-solving abilities and complex reasoning capabilities, striving to match and even surpass OpenAI's technology in these areas. The new version of 'Xinghuo X1' is an important attempt by iFlytek in the domestic computing power platform, marking China's advancements in artificial intelligence.

Recently, Chengdu Huayi revealed on its interactive platform that it has successfully developed a specialized AI chip for the edge computing field. This chip boasts an AI computing power of up to 16 Tops and is currently undergoing limited trial use among several clients in specific industries. The new chip not only offers robust computing power but also demonstrates excellent performance in video encoding and decoding, supporting video processing capabilities of up to 8K resolution. This represents a significant technological advancement for applications such as video surveillance and smart homes.

The UK government has recently announced a large-scale investment in the field of artificial intelligence (AI), with plans to increase publicly controlled AI computing power by 20 times by 2030. Prime Minister Keir Starmer stated that this plan to ‘unleash’ AI aims to make the UK a leader in the global AI industry. Despite public concerns about the potential impact of AI, the government believes that this technology could bring up to £470 billion in economic growth. Image source credit: Image generated by AI, image licensed by Midjourney.

In 2025, Suzhou will fully implement the 'Top Ten Actions for Intelligent Manufacturing in Suzhou', which includes AI innovation application actions aimed at promoting the deep integration of AI and the manufacturing industry. This initiative was emphasized at the Suzhou New Industrialization Promotion Conference held on January 3. The conference proposed that Suzhou is committed to building a modern industrial system with world-class competitiveness, fully striving to create a globally leading 'Intelligent Manufacturing City'. According to Suzhou's development plan, it is clear that by 2026, the city aims to establish four trillion-level industries and fifteen super-hundred-billion-level industries, driving growth.

The Beijing Academy of Artificial Intelligence (BAAI) recently announced that it has collaborated with ecological partners to build and open source the Heterogeneous Unified Communication Library FlagCX, aiming to address the challenges faced by communication libraries in the era of diverse computing power and fill the significant gap in the open source software stack for diverse computing power. This initiative responds to the special action organized by relevant national departments for the governance of typical issues in 'Clear and Bright: Algorithmic Problems of Online Platforms', reflecting the important principles of correct algorithm orientation, fairness and justice, and transparency.

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.

In a recent Reddit Q&A, OpenAI CEO Sam Altman admitted that insufficient computing power is one of the main reasons the company is unable to frequently launch new products. He stated that the current AI models are becoming increasingly complex, and OpenAI faces many constraints and difficult decisions on how to allocate computing resources to implement numerous excellent ideas. Reports suggest that OpenAI has encountered difficulties in obtaining sufficient computing infrastructure.