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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.

Only 20% of German employees received AI training, with 70% never trained, risking EU AI Act violations. Bitkom warns firms must ensure AI skills for all workers, as AI boosts efficiency but needs proper use. 14% fear job loss to AI, 1/3 see AI replacing bosses.....

On July 7, the Tencent Hunyuan 3D team announced the launch of the industry's first art-level 3D generation large model, Hunyuan3D-PolyGen. By employing self-developed high-compression representation BPT technology and a autoregressive mesh generation framework, it enables accurate generation of complex geometric models with up to ten thousand faces. The model has breakthrough solutions for core pain points in 3D asset generation, such as poor topology quality, excessive face count, and difficulty in post-editing. It has improved the modeling efficiency of artists by over 70%. The relevant capabilities have been launched on the Tencent Hunyuan 3D AI creation engine and integrated into multiple game pipelines. Traditional

Tencent launched Hunyuan3D-PolyGen, the industry's first art-grade 3D generation model, using self-developed BPT technology to enhance wiring quality and complex object modeling. It generates high-precision geometric models, supports multiple surface types, and boosts gaming pipeline efficiency by 70+%.....

Anthropic is testing 'Claude Neptune v3', a new AI model with strong math skills, possibly rivaling OpenAI/Google. It may be a Claude4.5 precursor or breakthrough version, aiming to lead in the competitive AI market.....

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.....

Bilibili focuses on video podcasting, launching 'Project H' AI tool for audio-to-video conversion. Support includes traffic boost, free recording spaces, and AI tools. The tool converts 1k words to video in 6 mins (target: 3 mins), with positive test feedback.....

B站开源AniSora V3动漫视频生成模型，提升质量与流畅度，支持多种风格。基于CogVideoX-5B/Wan2.1-14B，优化时空掩码，新增华为NPU加速20%。扩展千万片段数据集，增强多任务处理，达到顶尖角色一致性。....

Google announced the global launch of its latest video generation model, Veo3. This long-anticipated release has generated great excitement among users, as Veo3 is now available to Gemini users in over 159 countries, offering a new video creation experience. The key feature of the Veo3 video generation model is its ability to generate videos up to eight seconds long based on simple text prompts. According to Google, this technology is designed for creative users, especially those on social media who increasingly demand short-form content.

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.