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Ziyuan Robotics patented a training method for robot motion control models. It optimizes parameters by comparing actual and expected contact sequences, using swing excitation values. Expected sequences are derived from phase variables and gait mapping, improving motion precision and stability.....

Recently, the Ali Speech AI team announced the open source of ThinkSound, the world's first audio generation model supporting chain-of-thought reasoning. By introducing the chain-of-thought technology, this model breaks through the limitations of traditional video-to-audio technology in capturing dynamic visuals, achieving high-fidelity and strong synchronized spatial audio generation. This breakthrough marks a leap forward in AI audio technology, moving from 'image配音' to structured understanding of visual content.

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 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+%.....

Musk announces Grok4 AI model launch on July 11, sparking debates on AI ethics due to controversial 'politically incorrect' responses. New rules require multi-source analysis and evidence-based disputes.....

Feidu Tech launched 'Zhengrong Model', excelling in City3D tests with top-tier modeling and semantic understanding. It aids disaster simulation and heritage conservation, offering API for industry AI advancement.....

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.....

Open-source multimodal model EarthMind, designed for Earth observation data, uses spatial attention for precise localization and cross-modal fusion to integrate optical and radar data, supporting multi-granular analysis for disaster monitoring and urban planning.....

China's smart speaker market rebounded in 618 2025, with online sales reaching 802K units (+7.5% YoY) and revenue up 15.2%. AI model adoption (36.8% products) drove growth. Xiaomi and Baidu's new models led innovation in voice interaction. The market revival after 4-year slump signals sustained AI-driven expansion.....

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.

Recently, a research team from Renmin University, Shanghai Artificial Intelligence Laboratory, University College London, and Dalian University of Technology revealed an important finding in the reasoning process of large models: when the model is thinking, the 'thinking words' it uses actually reflect a significant increase in its internal information. This research result provides a new perspective for better understanding the reasoning mechanisms of artificial intelligence through methods of information theory. You may have seen large models output some language that seems human-like when answering questions, such as "Hmm..." or "Let me think...".

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.

On July 4, 2025, Kunlun Xiwang continued to open-source the second-generation reward model Skywork-Reward-V2 series. This series includes 8 reward models based on different foundation models, with parameter sizes ranging from 600 million to 8 billion. Upon its release, it won all seven major reward model evaluation rankings, becoming a focus in the open-source reward model field. Reward models play a key role in the reinforcement learning from human feedback (RLHF) process. To build the next generation of reward models, Kunlun Xiwang has constructed a dataset containing 40 million