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Popular mobile game 'Justice of剑侠情缘' has collaborated with Ke Ling AI to introduce a brand-new 'Live Photo' feature. This function aims to enable players to create personalized moving images more easily. Through simple operations, static images can be transformed into dynamic scenes, adding more fun to the game. Players simply need to open the 'Live Photo Creation' feature under the 'Film Crew Mode' in the game to start this creative journey. Users can choose to take screenshots in the game or upload existing images and enter the desired effect description. The system will generate the output based on the input instructions.

Kuaishou announced that it will further increase its investment in the artificial intelligence (AI) sector to address concerns about the monetization capability of its latest AI tools. At the earnings conference call on May 27th, Chief Financial Officer Jin Bing stated that as company revenue continues to grow, Kuaishou's overall losses in Ke Ling AI will gradually narrow. Additionally, the amortization of fixed costs such as training and labor will help improve financial conditions. Jin Bing revealed that Kuaishou's AI expenditures are expected to increase year-over-year, mainly aiming to attract and retain top AI talent and enhance capabilities.

In the latest global video generation model rankings, Ke Ling AI 2.0 model from Kuaishou surpassed its predecessor 1.6 with an Arena ELO score of 1124, securing the top global position. This news has attracted significant attention, especially against the backdrop of the rising AI technology. The Ke Ling AI 2.0 model has consistently been at the top of the chart for three months in the image-to-video domain, demonstrating its strong technical capabilities and market potential. Ke Ling AI 2.0 was officially announced in Beijing on April 15, focusing on dynamic aspects.

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.

News is spreading in the AI field that Jie Junyuan, a former AI expert from ByteDance, has officially joined Chixun Intelligent, an embodied AI startup, as the head of its embodied intelligence department. This change not only injects strong momentum into Chixun Intelligent's technical team but also paves the way for the future development of embodied AI. Jie Junyuan is a highly respected figure in the field of artificial intelligence. He graduated from the University of Science and Technology of China and received his doctorate from the University of Washington. He has published papers at several top academic conferences, and these papers...

Chinese Go champion Ke Jie made his debut on Douyin, challenging artificial intelligence and ultimately achieving victory in 'Clash of the Golden Shovel.' Ke Jie humorously compared Go to 'Clash of the Golden Shovel,' sparking interaction among netizens. The livestream garnered 3 million likes, with peak online viewers exceeding 50,000, ranking 3rd in the Douyin gaming livestream charts. The development of artificial intelligence technology has made 'Ke Jie vs AI' a hot topic of entertainment. Ke Jie stated that by competing against machines, human players can learn more and improve their skills.

The CogVLM-17B, developed through a collaboration between Tsinghua University and Zhipu AI, is a domestic multimodal model with outstanding performance. CogVLM-17B can not only recognize objects in images but also distinguish between fully visible and partially visible objects. The model employs a unique deep fusion method, achieving deep alignment of image features and text features through four key components. CogVLM-17B outperforms Google's models in various fields and is aptly referred to as the '14-sided warrior', showcasing its multimodal capabilities.