An innovative video generation technology, FlashVideo, has recently announced its open-source release. This framework cleverly addresses the balance between speed and quality in AI video generation through a unique two-stage design. FlashVideo employs an approach similar to LQIP (Low-Quality Image Placeholder) used in web front-end development by dividing the video generation process into two stages: preview and quality enhancement. In the preview stage, the system can quickly generate video drafts at a very low computational cost, providing users with instant feedback and significantly improving the user experience and commercial application feasibility.

Artificial intelligence chip company Cerebras Systems announced on Thursday a partnership with French open-source AI technology firm Mistral, assisting the latter in setting a new speed record. Mistral aims to compete with open-source rivals like Meta and China's DeepSeek, which shook the global market last month with their low-cost and high-performance technologies. All three companies are in competition with OpenAI, the developer of ChatGPT.

Recently, the domestic large model DeepSeek has emerged on the global AI stage, showcasing impressive technological strength. However, it has also faced threats from external cyber attacks. Against this backdrop, Zhou Hongyi, the founder of 360 Group, announced that 360 will provide comprehensive cybersecurity protection for DeepSeek free of charge, supporting the development of domestic AI technology through concrete actions.

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.

Traditional video understanding models face numerous challenges when processing long videos, including the complexities of understanding the extended context. Although considerable research has been conducted to enhance video understanding capabilities, effectively overcoming the issues of low training and inference efficiency remains difficult. To address these challenges, the research team utilized HiCo technology to compress redundant parts of video information, significantly reducing computational demands while retaining key information. Specifically, HiCo achieves hierarchical compression of the video by segmenting long videos into shorter clips, thereby reducing processing time.

At the recent CES conference, NVIDIA CEO Jensen Huang stated that the performance improvement speed of the company's AI chips has surpassed the historical standards set by Moore's Law. Moore's Law, proposed by Intel co-founder Gordon Moore in 1965, predicted that the number of transistors on a computer chip would approximately double every year, consequently doubling chip performance as well. However, in recent years, the pace of progress of Moore's Law has significantly slowed. Image source note: The image was generated by AI, image licensed by Midjourney.

Recently, xAI announced a major upgrade to its Grok AI chatbot, promising significant enhancements in performance, even claiming it can compete with Sonnet3.5, particularly in prompt-following capabilities. The upgraded Grok-2 is now available for free to all X platform users, with paid users benefiting from higher usage limits and additional features. According to xAI, Grok-2 is three times faster than its predecessor and has also seen notable improvements in accuracy and language support.

Dr. Alan Becker, a deep learning scientist who previously led the development of Snapchat's 'My AI' chatbot, has recently come back to launch a new company called eSelf. This startup is focused on creating a real-time, video-based conversational AI assistant platform and has successfully secured $4.5 million in seed funding, officially entering the fierce competition in the field of AI assistants. eSelf's early goal is to provide a more realistic and interactive AI experience for verticals such as education, sales, financial services, real estate, and healthcare.