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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

AMD Ryzen AI Max+395 upgrades to support 128B-parameter local AI models, requiring 128GB RAM (96GB VRAM). Runs 109B-parameter models like Meta Llama4Sout at 15 tokens/sec with 256K context length. MoE architecture enables efficient processing. 128GB AI workstations now priced at ~$1,800.....

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.

Julius AI secures $10M seed funding led by Bessemer, with multiple top firms participating. Founder Rahul Sonwalkar, a YC alum, pivoted to AI data analytics, creating a tool that allows natural language queries for instant visual results. Used by Harvard professors and 2M+ users, generating millions of charts daily. Ex-Twitter viral fame founder now focuses on data innovation.....

Julius AI, an AI data analytics firm, raised $10M in seed funding led by Bessemer Venture Partners. Founded by Rahul Sonwalkar post-Y Combinator, it enables natural language data analysis with 2M users and 10M+ visualizations. Used in Harvard Business School, it simulates analyst conversations for data insights.....

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.

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.

Zero One World launched Wan Zai, an enterprise intelligent agent, positioned as a super employee, with the ability for deep thinking and task planning, supporting private deployment to ensure data security. CEO Lee Kai-Fu proposed a three-stage development path for AI intelligent agents: from workflow intelligent agents that execute instructions, to reasoning intelligent agents that can plan autonomously, and finally achieving a network of multi-intelligent agents. This product marks the entry of China's large models into a new era of industry AI focused on delivering results.

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.....

FireGEO is an open-source SaaS starter template for building modern web apps. It integrates core features like brand monitoring, user auth, billing, and AI chat, using cutting-edge tech (DrizzleORM, Supabase). Ideal for startups/developers to accelerate development.....

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.

UTCP, as an alternative to MCP, directly connects tool endpoints via JSON-defined functions, eliminating proxy layers for lower latency while maintaining security. Its simplicity and compatibility spark developer interest as a potential AI tool standard.....

BAAI released RoboBrain2.0 (32B) and RoboOS2.0 framework. RoboBrain2.0 excels in spatiotemporal cognition and complex tasks, while RoboOS2.0 is the first embodied AI SaaS framework supporting lightweight deployment and multi-robot collaboration. Both are now open-source.....

IndexTTS2 is an upcoming film-grade TTS model with 3 breakthroughs: 1) Local deployment & open weights; 2) Zero-shot voice cloning; 3) Pioneering emotion cloning. Supports precise duration control for dubbing (Chinese/English).....

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.