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Recently, Kimi intelligent assistant under the Moonshot Dark Side announced that its first agent product - Kimi-Researcher (Deep Research) has officially started small-scale gray-scale testing. This new generation of agent models trained based on end-to-end autonomous reinforcement learning (end-to-end agentic RL) technology aims to provide users with efficient and in-depth deep research services. Kimi-Researcher demonstrates strong autonomous planning and execution capabilities when facing problems. It can not only

Designers woke up to a collapsing world. Jimeng quietly launched the internal testing of its 3.0 model. The new model has made significant breakthroughs in image quality, generating images with rich details and superior quality from simple text prompts. Jimeng 3.0's core advantage lies in its precise control over complex scenes and details. By inputting short prompts, the model can generate visually stunning images in a short time, such as realistic natural landscapes or exquisite portraits. Compared to previous versions, Jimeng 3.0 shows significant improvements in scene layout, color matching, and detail rendering.

Meituan CEO Wang Xing detailed the company's strategic plan for artificial intelligence (AI). Wang revealed that over the past year, Meituan prioritized securing GPU resources, investing heavily in AI infrastructure. He further stated that Meituan plans to further increase investment in key AI infrastructure in 2025 to strengthen its position in this field.

The internal testing of the AI agent Manus has sparked significant excitement, with users praising its groundbreaking capabilities and demanding access. Its innovative features are revolutionizing the traditional virtual assistant experience.

According to LatePost, Meituan CEO Wang Xing held a significant internal communication meeting on February 28th, attended by senior executives and directors. This meeting, the first high-level communication meeting in Meituan's 15-year history, saw Wang Xing delve into Meituan's future development directions. This meeting signifies Wang Xing's deeper reflections on Meituan's future, outlining three key focus areas for the next decade: food and grocery retail, internationalization, and technological innovation. In terms of food and grocery retail...

Chinese e-commerce giant Pinduoduo has announced the formation of a large model team focused on e-commerce recommendations, further strengthening its commitment to AI in the sector. According to recent posts on X, the team is led by a former core member of Baidu's Phoenix Nest (Baidu's advertising system), whose salary is reportedly multiple times higher than at Baidu, demonstrating Pinduoduo's significant investment in talent acquisition. While Pinduoduo has not officially disclosed the leader's identity, an X user @TechBitDaily revealed in a February 23rd post that the team has already recruited numerous individuals from Baidu.

Following the integration of DeepSeek R1, Tencent's Hunyuan T1 deep thinking model is currently undergoing a limited grayscale test within Tencent's Yuanbao. Users can choose to use it based on their needs. Tencent recently announced that several of its products have begun to integrate DeepSeek technology, including QQ Music AI Assistant, WeChat AI Search, and Tencent Cloud AI Code Assistant.

According to Yibang Power, recently, Meituan Dazhong Dianping launched an AI smart tool named 'Dianzi'. This tool integrates functions like 'Find Store Helper', 'Dish Combination', and 'Scenic Spot Companion', aiming to provide users with more intelligent dining choices and recommendation services. Users only need to input their personal needs, and 'Dianzi' can automatically generate answers to help users quickly identify suitable restaurants and recommended dishes while answering food-related questions. The AI writing assistant function of 'Dianzi' can also be applied to writing notes, helping users 'think more and write better'.