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Baidu Health launched the 'Stars Everywhere' public welfare program, working with 100,000 doctors to build an AI-generated health education content ecosystem. The program aims to produce 100 million authoritative contents by 2026 and cultivate 10,000 doctors with millions of followers. It adopts a triple mechanism of AI generation, AI review, and human proofreading to ensure content quality, and provides doctors with digital avatars and AI tools for technical support. The initiative aims to empower medical education through technology, build an authoritative health information platform, and enable the public to easily access professional health knowledge.

Baidu is testing a new AI app entry on its PC homepage, featuring recommended AI apps under 'My Apps' post-login, including Wenxin AI platform, third-party apps, and Baidu's own programs, aiming to enhance search with AI. Official confirmation pending.....

The Qwen3-30B-A3B model has undergone a major update, launching the new version Qwen3-30B-A3B-Thinking-2507. This new version has achieved significant improvements in reasoning capabilities, general abilities, and context length, marking that the model is not only lighter but also has stronger thinking capabilities. Compared to the Qwen3-30-A3B model open-sourced on April 29, the new model has made progress in multiple key areas. In terms of mathematical abilities, Qwen3-30B-A3B-Thin

On July 29, a new version of the Qwen3-30B-A3B model, called Qwen3-30B-A3B-Instruct-2507, was released. This new version achieves significant improvements in multiple key areas, marking that the model can achieve performance comparable to top closed-source models such as Gemini2.5-Flash (non-thinking) and GPT-4o, by activating only 3B parameters in non-thinking mode.

Step Star releases the next generation Step 3 large model, which will be open-sourced on July 31st. This 321B parameter multi-modal reasoning model performs outstandingly in intelligence and reasoning efficiency, supporting cross-domain knowledge understanding and visual analysis. The company has established the Model Chip Ecosystem Innovation Alliance in cooperation with chip manufacturers and reached a strategic cooperation with Shanghai State Capital, promoting the application of large models. Step 3 achieves 300% reasoning efficiency of competing products on domestic chips, with over 70% improvement in throughput, and has established a 1+N model matrix covering multiple fields. The model has achieved SOTA on multiple rankings.

At the 2025 World Artificial Intelligence Conference (WAIC), Baidu presented multiple innovative achievements and latest developments in the field of artificial intelligence. During the conference, Baidu announced that its Apollo Go, PaddlePaddle Deep Learning Platform, and Baidu Intelligent Computing Cluster have been selected for the China Artificial Intelligence Industry Innovation Exhibition. Among them, Apollo Go not only exhibited as an item but also served as a shuttle vehicle for the conference, demonstrating the mature application of its autonomous driving technology. Currently, Apollo Go has provided over 11 million travel services worldwide, with safety driving mileage exceeding 1

Kuaishou opensources the KAT-V1 autonomous thinking large model, which includes two versions: 40B and 200B. The 40B version performance is close to DeepSeek-R1, and the 200B version outperforms several flagship models. The model innovatively adopts a mixed training paradigm of short and long-term thinking and the Step-SRPO reinforcement learning algorithm, which can automatically adjust the thinking mode based on the complexity of the question, solving the problem of overthinking. Based on Qwen2.5-32B, it achieves excellent performance in fields such as science and code through an heterogeneous distillation framework and pre-training with 10 million examples.

AI office company PixelBloom completes B3 funding round, led by Yizhuang Guotou, with participation from multiple renowned institutions. The funds will be used for two strategic initiatives: accelerating global expansion and consolidating the leading position of AiPPT.com in international markets; expanding the AI Venture Studio model to incubate innovative office products. This funding round reflects market recognition of its technological capabilities and development prospects. In the future, it will promote the construction of the AI office ecosystem and enhance the intelligent office experience for global users.

Lightricks releases open-source LTX-Video13B, a 13B-parameter video generation model with multi-scale rendering, achieving 30x faster speeds. It runs on consumer GPUs, supports 1216×704 real-time generation, and offers text/image/video-to-video modes. The model enhances coherence and detail, enabling keyframe control and style transfer. Free for SMEs, it includes training tools and optimized versions to democratize AI video creation.....

On July 18, Xiaodu officially launched its first MCP Server that supports interaction with the physical world, completing the MCP upgrade of terminal devices and core IoT capabilities, bringing a new transformation to AI application development and leading the industry towards a new era of 'all things intelligent interconnection'. The Xiaodu Open Platform has innovatively introduced two core services. One is the Xiaodu Speaker MCP Server, allowing developers to control devices, deliver voice announcements, and perform remote monitoring through text commands; the other is the Xiaodu IoT MCP Server, which opens up full-home device control.

Moonshot AI's open-source model Kimi K2 excels in programming, matching Qwen3-235B-A22B and nearing o3-mini-high & Claude-3.7-Sonnet. With 1T MoE, 128k context, 65.8% accuracy on SWE-bench, and $0.14/M tokens, it's ideal for coding. Supports web generation, workflows, vLLM/Hugging Face deployment, MIT-licensed.....

NVIDIA's Canary-Qwen-2.5B sets a 5.63% WER record on Hugging Face OpenASR. This CC-BY licensed model combines FastConformer encoder with Qwen3-1.7B LLM decoder for efficient speech-to-text and NLP. Supports multi-GPU deployment for cloud/edge applications.....

Baidu launches a new AI search assistant called Tizzy.ai, featuring an ad-free smart search experience. The app is developed based on Baidu's large model, with a simple interface that only retains the search and resource library access points. Core features include smart search, deep thinking, and resource retrieval, supporting both automatic quick response and deep reasoning modes. It specially integrates online media resources, offering movie, TV series, and short drama sections, supporting playback jumping and speed adjustment functions. As a one-stop intelligent assistant, it can accurately search for information and assist users in decision-making and learning, showcasing Baidu's new breakthroughs in the field of AI.

Baidu AI Assistant introduces 'Video Call' feature, enabling real-time video chats via Baidu APP. It covers four scenarios: object/insect identification, styling advice, pet behavior analysis, and emotional support, with dialect recognition for elderly users. This upgrade transforms AI from a tool to a smart life companion.....

Recently, the ByteDance Seed team collaborated with the University of Hong Kong and Fudan University to introduce an innovative reinforcement learning training method called POLARIS. This method successfully enhances the mathematical reasoning capabilities of small models to levels comparable to those of large models through a carefully designed Scaling RL strategy, offering a new approach for optimizing small models in the field of artificial intelligence. Experimental results show that the 4 billion parameter open-source model Qwen3-4B trained using POLARIS achieved remarkable performance on AIME25 and AIME24 mathematical tests.

Recently, Tencent Cloud officially launched the API service for the Tencent Hunyuan A13B model on its official website. The input price is set at 0.5 yuan per million Tokens, and the output price is 2 yuan per million Tokens, which has quickly sparked enthusiastic discussions in the developer community. As the first 13B-level MoE (Mixture of Experts) open-source hybrid inference model in the industry, Hunyuan-A13B features a total of 80B parameters and only 13B activated parameters, achieving performance comparable to leading open-source models of the same architecture, while also demonstrating efficient reasoning capabilities.

Shanghai Jiao Tong University and DP Technology's X-Master AI system set a 32.1 record in the HLE test, featuring tool-enhanced reasoning and multi-agent collaboration for biomedical breakthroughs.....

Baidu's stock surged 5% to $90.68, driven by China's booming AI model market. With 1810 projects totaling $64M in H1 2025, Baidu Intelligent Cloud leads in finance and energy sectors, securing 48 projects worth $51M. Partnered with 65% of state-owned enterprises for AI.....

On July 7, the Baidu AI team announced the official release of PaddleOCR 3.1, achieving three major upgrades in multilingual recognition, complex document translation, and large model connectivity. The new version supports text recognition in 37 languages, with an average accuracy improvement of over 30%. It also introduces a document translation pipeline and MCP server functionality to help developers efficiently build AI applications. To address multilingual needs in global scenarios, PaddleOCR 3.1 adds the PP-OCRv5 multilingual model, covering 37 languages including French, Spanish, and Russian.