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AI coding assistant Cline raised $32M Series A led by Emergence Capital to launch enterprise platform Cline Teams, expanding team and product lines. With 2.7M developer installs, Cline serves Fortune 500 clients like Samsung with transparent pricing. The new platform enhances org management and billing for enterprises.....

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.

JD upgraded its AI model brand to JoyAI and launched JoyInside at WAIC 2025. JoyAI offers 3B-750B models for multimodal use, boosting efficiency by 30% and cutting costs by 70%. Partners like ZQ and SenseTime apply it in robotics and toys. JD advances AI innovation and ecosystem.....

During the 2025 World AI Conference (WAIC), JD Group announced that it has rebranded its large model brand to JoyAI, and showcased AI solutions covering multiple scenarios such as retail, logistics, industry, and health, along with an 'AI Smart Team', promoting the deep application of AI technology from the lab to the industry. The upgraded JoyAI large model system supports full-scale models from 3B to 750B, and is equipped with multi-modal interaction capabilities including language, speech, image, video, and digital humans. Through technologies such as dynamic hierarchical distillation and cross-domain data governance, it enhances its reasoning capabilities.

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.

MIT dropouts' AI compliance firm Delve raised $32M Series A at $300M valuation. Its AI agents automate compliance, aiding rapid client growth from 100 to 500 in 6 months. Tech enables auto-evidence collection, reporting, and tool integration. Plans cybersecurity expansion to maintain lead amid competition. Investors see compliance modernization driving operational upgrades.....

JD.com open-sources the multi-agent system JoyAgent-JDGenie, leading the industry with a 75.15% accuracy rate on the GAIA benchmark. The system features end-to-end multi-agent collaboration capabilities, supports multi-modal processing such as text and images, and uses a memory optimization mechanism to improve efficiency. The framework includes sub-agent modules for report generation, code, PPT, etc., allowing developers to expand and customize functions. It adopts the Apache 2.0 open-source license, provides complete code and documentation support, and is convenient for secondary development. Its modular design and multi-agent collaboration capabilities

This morning, the robotics industry saw a new trend of capital inflow — Qianxun Intelligent announced a 600 million yuan Pre-A+ round financing, Luxi Dynamics (LimX Dynamics) disclosed a new strategic financing round, and Zhongqing Robotics officially announced an A1 round financing. All three companies were led by JD.com Group. This series of actions marks that JD.com is accelerating its investment layout in the field of embodied intelligence, drawing widespread attention from the market on the technological transformation of intelligent supply chain. Regarding the intensive investment activities, a relevant person in charge of JD.com Group responded that the company is continuously increasing its investment in embodied

Zhuji Power has received strategic investment from JD.com, accelerating the mass production of humanoid robots and the research and development of embodied intelligence technology. The company has launched the IDS Collaborative Innovation Strategy, serving innovators, developers, and system integrators by providing an open technology platform. A full-size humanoid robot is expected to be launched in 2025, with the ability to adapt to complex environments. The bipedal robot TRON1 has already been applied in areas such as inspection and security, and a developer kit has been released. The company's LimX VGM large model enables cross-platform operation capabilities, and more visual-language-action large model results will be released this year.

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.....

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.....

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.

Ziyuan's robot Lingxi X2-N features dual-mode design: wheeled for mobility and legged for obstacle-crossing, carrying 6kg. It adapts to complex terrains with excellent balance and load capacity.....

Tencent open-sourced 'Hunyuan-A13B', an 80B-parameter MoE model with dynamic inference (130B active params). Supports 256K context, trained on 20T tokens. Achieves 87.3% on AIME2024 math, but comparisons show version disparities.....