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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.

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

In the media Q&A session after today's Honor Magic V5 and AI Terminal Ecosystem Launch, Honor CEO Li Jian, CFO Peng Qiuen, and Product Line President Fang Fei had in-depth discussions with the media. During the event, Honor officially announced support for the MCP and A2A protocols, and revealed that it will collaborate deeply with partners such as Alibaba, BYD, and Midea in the fields of intelligent service ecosystem, smart vehicle networking, and smart home. Honor CEO Li Jian emphasized in the conversation that 'openness' is the core philosophy of Honor. He pointed out...

Zhipu AI officially open-sources its latest general vision model, GLM-4.1V-Thinking, based on the GLM-4V architecture, which introduces a chain-of-thought reasoning mechanism, significantly enhancing its capabilities for complex cognitive tasks. The model supports multimodal inputs such as images, videos, and documents, and excels in diverse scenarios including long video understanding, image question answering, subject problem-solving, text recognition, document interpretation, grounding, GUI Agent, and code generation, covering a wide range of industry application needs. GLM-4.1V-9B-Thinking

At the recent Zhipu Open Platform Industrial Ecosystem Conference held in Shanghai, a major development emerged in the field of artificial intelligence: Pudong Venture Capital Group and Zhangjiang Group jointly announced a strategic investment of up to 1 billion yuan in Zhipu, with the first installment already completed. This significant investment will provide strong support for Zhipu in building a trusted artificial intelligence infrastructure and accelerate its layout in the field of General Artificial Intelligence (AGI). In his keynote speech at the conference, Zhipu CEO Zhang Peng elaborated on two latest achievements in the company's efforts to move toward AGI in collaboration with ecosystem partners.

Honor's official Weibo account @MagicOS announced that Honor has successfully deployed the world's first edge-side voice large model. This technological advancement is not only a breakthrough for Honor, but also hailed as a 'renewal of AI voice technology'. This significant achievement will make its debut on the overseas version of the upcoming Honor Magic V5. Honor's technological innovation is the result of its in-depth efforts in the field of artificial intelligence. It is reported that Honor has published two academic papers at the prestigious international conference InterSpeech, which have attracted widespread attention from the academic community.

OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.