In the field of artificial intelligence, the DeepSeek team recently released their latest research成果, introducing an innovative sparse attention mechanism named NSA (Native Sparse Attention). The core objective of this technology is to enhance the speed of long context training and inference, particularly optimized for modern hardware, significantly improving the efficiency of training and inference. The launch of NSA technology brings significant changes to the training of artificial intelligence models. Firstly, it utilizes a series of advancements tailored for modern computational hardware.

Recently, Musk officially launched the brand new chatbot Grok 3 in a live stream and disclosed the astonishing cost of training the model. Grok 3 is currently available to Premium + subscribers and has shown outstanding performance in various evaluation areas, even surpassing other competitors in the market, such as Gemini, DeepSeek, and ChatGPT. During the live stream, Musk mentioned that the training process for Grok 3 consumed a total of 200,000 NVIDIA GPUs, a figure that is truly shocking.

On February 11, 2025, at the World Governments Summit held in Dubai, UAE, Baidu founder Li Yanhong engaged in an in-depth dialogue with UAE AI Minister Omar Sultan Al Olama to explore future development trends in AI infrastructure. During the discussion, Al Olama mentioned the recent global attention towards DeepSeek, which caused significant fluctuations in the stock prices of several major chip manufacturers and exchanges, and asked Li Yanhong for his views on the future of data centers and AI infrastructure.

Recently, Tencent Technology (Shenzhen) Co., Ltd. published a patent regarding a training method and related equipment for large language models on the Tianyancha app. The patent is titled 'Training Method, Device, Computer Equipment, and Storage Medium for Large Language Models' and aims to enhance the learning capacity and accuracy of large language models through innovative training methods. In the training process of large language models, traditional methods often rely on a single text summary, which may lead to model overfitting and negatively impact the accuracy and diversity of generated content. However, Tencent's new...

The UK government is considering amending laws to allow AI companies to use creators' online content to train their models unless creators explicitly opt out of the system. This move has sparked strong opposition from the music industry, with former Beatles member Paul McCartney openly expressing his concerns, warning that it could lead to a 'Wild West' scenario where creative works lose the copyright protections they deserve. In an interview with the BBC, McCartney urged the government to reconsider this approach and emphasized the potential threat it poses to emerging artists: 'Young boys, girls...'

At the World Economic Forum held in Davos, Switzerland, artificial intelligence (AI) became a hot topic, with many industry leaders emphasizing that employee retraining is crucial for realizing the transformative potential of AI. Rishad Premji, Executive Chairman of Wipro Limited, noted in an interview with NDTV that the successful adoption of AI is closely tied to the retraining of employees. This insight highlights a strategic necessity for company executives and ERP leaders — organizations must

Recently, the two giants in the education training industry—TAL Education and New Oriental—have released their mid-term financial reports for FY2025, showcasing their market performance and development strategies. These reports not only reflect the operational status of the companies but also serve as important indicators of the industry's future direction. TAL Education's net revenue for Q3 of FY2025 reached $606.4 million, a 62.4% increase from $373.5 million in the same period last year. The company's gross profit also rose by 59.6% year-on-year, reaching $319.8 million, successfully turning a profit.

Recently, the American artificial intelligence company OpenAI challenged a ruling by the Delhi High Court in India, arguing that the court does not have the authority to demand the deletion of ChatGPT's training data. This case originated from a lawsuit filed by the Indian news agency ANI last November, claiming that OpenAI used its published content to train ChatGPT without authorization. ANI requested the removal of its content from the model's training dataset and accused OpenAI of copyright infringement. The submission was made to the Delhi High Court on January 10.

In today's development of artificial intelligence (AI), the speed of data transmission has become a significant bottleneck hindering its progress. To break through this barrier, a research team led by the University of Michigan (U-M) is developing a brand new chip connection system that uses optical waves instead of traditional cables for data transmission. This innovation is expected to address the 'memory wall' problem that limits computational speed and promote further growth of AI models. The project has received a $2 million grant from the National Science Foundation's Future Semiconductor program, with participation from the University of Washington and Penn State.