According to reports from Titanium Media, Xiaohongshu is set to integrate the DeepSeek-R1 open-source model, and its AI search product 'DianDian' App will launch a 'Deep Thinking' feature. This new feature is currently in beta testing. With the rise of ChatGPT, Xiaohongshu is taking a deeper part in the development of generative AI, introducing an independent AI search application 'DianDian'. 'DianDian' is positioned as a life search assistant, covering various scenarios such as transportation, food, and travel, aiming to provide users with timely information and genuine feedback.

Today, Weibo is testing the integration of its Smart Search function with the DeepSeek large model. Weibo CEO Wang Gaofei has showcased the testing effects of related features multiple times on the platform, including intelligent analyses of hot topics such as the impact of increased social security fees on rider incomes. The tests demonstrate that the DeepSeek R1 model can effectively integrate existing discussion content on the Weibo platform, providing users with clear topic summaries and analytical conclusions. The introduction of this feature will not only enhance the quality of Weibo's search and user experience but also indicates the platform's move toward a more comprehensive intelligent service.

DingTalk AI Corporate Search, launched in 2024, focuses on addressing the pain points of enterprise users related to information fragmentation and low retrieval efficiency. This tool leverages the understanding, reasoning, and generating capabilities of large models to integrate unstructured data such as chat logs, documents, knowledge bases, schedules, and logs into a structured knowledge network, improving search efficiency by 300% over traditional methods. By offering this free access, DingTalk aims to further assist enterprise users in building dynamic knowledge networks and optimizing workflows.

Google has officially announced the launch of its AI research assistant system based on Gemini 2.0 - the AI co-scientist, aimed at providing virtual collaboration for scientists to generate novel research hypotheses and suggestions. This system not only offers traditional literature review and summarization capabilities but also breakthrough original knowledge discovery abilities. The AI co-scientist can simulate the reasoning process of scientific methods and provide researchers with innovative research hypotheses and proposal plans based on existing evidence and specific research objectives.

Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Recently, Tencent launched an AI search function on its social platform WeChat, which became unusable due to server overload less than a day into its grayscale testing. According to Tencent, the feature utilizes the Hunyuan large model for searches and integrates the DeepSeek-R1 model to provide deeper thinking services. However, despite the very small user count participating in the testing, the call volume was extraordinarily high, resulting in frequent prompts stating 'Service is busy, please try again later.' In this situation, Tencent had to quickly take action.

Recently, Meeta Technology announced that its AI search platform has launched a new research model - 'Think First, Search Later'. The core of this innovative model is to allow the AI model to first propose a framework and pathway for thinking, thereby laying the foundation for subsequent information integration and analysis. This approach enables users to obtain the information they need more efficiently, significantly enhancing research productivity. It is understood that the 'Think First, Search Later' model adopts a collaborative architecture of 'small model + large model'. Specifically, the framework for deep reasoning and the task of breaking down steps are entrusted to...

A recent study from Microsoft and Carnegie Mellon University indicates that excessive reliance on artificial intelligence (AI) tools may be eroding people's critical thinking abilities. The research team surveyed 319 knowledge workers and collected 936 real-world examples of generative AI usage across various industries, including IT, design, administration, and finance. The study analyzed six dimensions of critical thinking: knowledge, understanding, application, analysis, synthesis, and evaluation. The findings reveal that people's thinking patterns in problem-solving change significantly after using AI tools.

On February 18th, Shanghai Mita Network Technology Co., Ltd. announced the launch of its latest research mode - 'Shallow Research'. This feature aims to quickly gather information and conduct preliminary analysis using AI technology, helping users obtain valuable research results in a short amount of time.

On February 17, Baidu announced the official launch of the Ernie Bot free rights card, which will be fully open for free use starting April 1. This news marks another significant move by Baidu in the field of artificial intelligence, aimed at further lowering the barrier for users to access AI technology and promoting the popularization and application of artificial intelligence.

In recent years, the rapid development of artificial intelligence (AI) technology, especially driven by countries like the United States and China, has made AI a focal point of global technological competition. To this end, the EU recently announced a funding program of up to 200 billion euros to promote development in this field. Despite Germany's strong capabilities in AI research, why hasn't a single successful AI enterprise emerged? Source: Image generated by AI, image courtesy of service provider Midjourney according to Professor Bjorn from the University of Munich.

On the morning of February 17, Tencent Holdings' stock price surged in the Hong Kong market, rising over 7.5% at one point, leading to an increase in market value of approximately 320 billion Hong Kong dollars (about 298.1 billion yuan). Related concept stocks also showed strong performance, with Weimob Group (02013.HK) up 15%, Yuanshen Group (00772.HK) up 11.97%, and Youzan (08083.HK) up 10.16%. The significant stock price increase may be related to the latest developments in WeChat Search. On February 16, Tencent announced that WeChat Search has integrated the mixed large model to provide AI search functionality.

According to a message released by the 'Baidu Search' public account on February 16, Baidu Search and the Wenxin Smart Agent platform will integrate DeepSeek and the deep search capabilities of the Wenxin large model to provide users with a higher quality search experience. The DeepSeek deep search function officially launched on February 13, featuring powerful planning and tool-calling capabilities. This new functionality aims to provide users with expert-level content responses and can handle multi-scenario task requirements, including support for multi-modal inputs and outputs. This means that users not only can...

On February 16, QQ Browser officially announced the integration of the full-version DeepSeek-R1 model, providing users with a more intelligent and convenient search experience. The integrated DeepSeek-R1 model features deep thinking, online search, multi-turn dialogue, and historical record retrieval, enabling it to deliver comprehensive, rapid, and high-quality responses.

Recently, Baidu Search announced the full integration of the latest deep search features from DeepSeek and the Wenxin Large Model, aimed at providing users with a more diversified and intelligent search service. According to official sources, the deep search feature of the Wenxin Large Model was officially launched on February 13. With its robust reasoning and planning capabilities, as well as tool invocation abilities, it can deliver expert-level content responses and effectively address task requirements in various scenarios, enabling multimodal input and output, further enriching the user's search experience.

With the advancement of artificial intelligence technology, multi-agent systems are increasingly capable of handling complex tasks across various fields. These systems are composed of multiple specialized agents that collaborate to leverage their individual strengths and achieve common goals. Such collaboration excels in areas like complex reasoning, programming, drug discovery, and safety assurance, as the structured interactions between agents not only enhance problem-solving efficiency but also allow for mutual correction, thereby improving each agent's output. Research indicates that this collaborative approach often outperforms in tasks that require rigorous reasoning or fact verification.