Search AI Products and News

Tencent's X-Omni AI model integrates reinforcement learning to unify image generation and understanding, outperforming rivals in text rendering and visual tasks without classifier guidance.....

Kunlun open-sources Skywork UniPic, a 1.5B-parameter multimodal model integrating image understanding, generation, and editing. It unifies multimodal tasks with end-to-end pretraining, offering strong performance comparable to larger models.....

Doubao App has made a major upgrade in the field of visual reasoning. Its image analysis feature now supports a deep thinking mode, offering users an unprecedented intelligent experience. Users just need to take or upload a picture while in deep thinking mode, and Doubao can quickly perform fine adjustments such as zooming and cropping, and supports image search functionality, enabling users to think and search simultaneously, thereby further improving the accuracy of search results.

Step Zenith has officially launched its new research assistant, 'Step Deep Research,' which is now available for experience on the Step Zenith App and stepfun.com platform, while also opening internal invitation testing. This intelligent tool is designed for fields such as finance, consulting, healthcare, law, policy, and academic research. It can independently complete complex research tasks in about ten minutes and generate reports that are both in-depth and professional, providing efficient support to researchers. The core advantage of 'Step Deep Research' lies in its powerful information processing and integration capabilities. In the context of Sequoia China

iFlytek launches Spark X1 upgrade on July 25, a Chinese AI model excelling in math, translation, and logic with fewer parameters but comparable to OpenAI/DeepSeek. Features improved accuracy, multilingual support (130+ languages), and precise responses via 'slow thinking' mode, marking a breakthrough in domestic AI tech.....

Mistral AI's chatbot Le Chat has received a major update with five core features now available: 1) Deep Research mode that intelligently breaks down complex questions and generates structured reports; 2) Voice input feature based on the Voxtral model for natural conversation; 3) Thinking mode using the Magistral model to handle complex reasoning; 4) A text-to-image modification feature developed in collaboration with the Black Forest Lab; 5) New project management tools to organize conversations and files. These features are now available on both web and mobile platforms, significantly enhancing AI capabilities.

On July 15, Mita AI Search announced the completion of a new iteration of its 'Deep Research' module and its official public beta launch, becoming the first search service in China that is freely open to the public and features multi-turn reasoning chain visualization. The upgraded system adopts a segmented reinforcement learning strategy, breaking down the originally computationally intensive 'Deep Research' tasks into multiple sub-tasks, maintaining result accuracy while reducing operational costs to a level that allows for public free access. It performs particularly well in retrieving and reasoning with Chinese corpus.

Recently, DingTalk officially launched the 'AI Spreadsheet' feature, marking the official start of a new application entry point for the AI era. In DingTalk AI Spreadsheet, AI technology has become an intrinsic capability, with each cell serving as an AI access point, creating intelligent workflows and providing enterprises and users with an unprecedented method of building business systems.

Microsoft has released the public preview of Deep Research, a new service called Azure AI Foundry. This service functions as a research assistant similar to OpenAI agents. It can automatically break down complex tasks, perform multi-turn information retrieval and verification using Bing search and GPT models, and generate audit-able research reports. The service is applicable to fields such as academia, finance, and healthcare, and supports API integration, significantly improving research efficiency. Applications are now open, and developers can integrate its automation capabilities into their own applications.

Microsoft launches the Deep Research research tool, which integrates Bing search and OpenAI technology to automate research. The tool uses the core technology o3-deep-research, with a workflow that includes four key steps: first, interacting with GPT-4o/4.1 to clarify user requirements; second, calling Bing to retrieve the latest data; third, performing intelligent analysis and reasoning; finally, generating a structured report containing answers, reasoning process, cited sources, and clarification records. The tool supports integration with Azure AI

Google recently introduced a new strategy that allows the Gemini AI assistant to access third-party applications such as WhatsApp, raising privacy concerns. Even if users disable interaction permissions, Gemini can still access some application data, which will be reviewed by humans and retained for 72 hours. Although an option to disable it is provided, the instructions are unclear, making it difficult for users to confirm whether the permission has been successfully disabled. Experts have criticized this strategy as similar to Microsoft's forced bundling of IE, and suggest uninstalling Gemini via the command line, although the process is complex. This incident highlights the challenges faced by tech companies.

In the field of artificial intelligence, reward models are a critical component for aligning large language models (LLMs) with human feedback, but existing models face the issue of "reward hacking." These models often focus on superficial features, such as the length or format of responses, rather than identifying genuine quality metrics, such as factual accuracy and relevance. The root cause lies in standard training objectives failing to distinguish between spurious associations and true causal drivers present in the training data. This failure leads to fragile reward models (RMs), which generate misaligned policies.

In a recent major announcement, the global e-commerce and cloud computing giant Amazon revealed two important milestones in its robotics and artificial intelligence (AI) fields: the launch of a new AI foundation large model called Deep Fleet, and the successful deployment of more than one million robots. The launch of the Deep Fleet model aims to enhance the intelligence and efficiency of Amazon's largest industrial mobile robot fleet. The application of this model is expected to improve the operational efficiency of the robot fleet by 10%, thereby accelerating...

Recently, the Qwen VLo multimodal large model was officially released, achieving significant advancements in image content understanding and generation, offering users a brand-new visual creation experience. According to the introduction, Qwen VLo has been comprehensively upgraded based on the advantages of the original Qwen-VL series models. The model not only can accurately understand the "world", but also can perform high-quality re-creation based on understanding, truly achieving the transition from perception to generation. Users can now access Qwen Chat (chat.qwen.ai)

OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

On June 24, Faraday Future officially announced the launch of the FF AI2.0 intelligent cockpit operating system, which is the most significant cockpit upgrade since the release of the FF91 in 2023. The new system will be deployed to the FF91 2.0 model first through OTA software updates, and it is planned to be extended to the FX series in the future. FF AI2.0 features a complete restructuring of the entire AI architecture, with its biggest highlight being the deep integration with OpenAI. The system deeply integrates large language models (LLMs) into Faraday Future's software and hardware architecture.

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

At the theme speech of Huawei Developer Conference HDC2025 held this afternoon, Zhang Ping'an, Executive Director of Huawei and CEO of Huawei Cloud Computing, officially announced the release of PanGu 5.5, marking the comprehensive upgrade of five basic models in natural language processing (NLP), computer vision (CV), multimodal, prediction, and scientific computing.