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Google AI system processed over 98 trillion tokens in June, more than double that of May. Tokens, as the basic unit for AI to understand text, their surge reflects the effectiveness of efficient reasoning models like Gemini Flash 2.5. This new model has 17 times the token processing capability of its predecessor, although the cost has increased 150 times, it significantly improves response accuracy, becoming a key factor in the sharp rise in data processing volume.

Openjourney integrates Google Gemini SDK for AI-powered image/video generation: 1) Imagen4 creates 1024x1024 HD images with MidJourney-style interface; 2) Veo3 generates 3-5s 720p videos from text, Veo2 animates static images; 3) Built with Next.js15 for smooth UX. Offers open-source alternative to MidJourney.....

In the 2025 International Mathematical Olympiad, AI models from OpenAI and Google both won gold medals, successfully solving 5 out of 6 problems, with results surpassing most high school contestants. Both companies used non-formal systems to directly tackle the questions, marking significant progress compared to Google's formal system from last year, which required manual conversion. Google questioned OpenAI for announcing the results before official evaluation, while OpenAI responded by stating that they hired former IMO medalists for third-party scoring. The controversy behind this technological breakthrough highlights the intense competition in the AI field.

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.

Lanxin Tech unveiled 'Lanxin Jiugong AI Energy Model' at the Chain Expo, featuring core technologies like a time-series prediction engine with 90% accuracy and an AI agent engine for real-time monitoring and strategy generation, now applied in Guangdong, Shandong, and Zhejiang.....

Meta accelerates AI infrastructure, targeting a 1GW 'Prometheus' supercomputer with 1.3M NVIDIA H100 GPUs (2 exaflops) by 2026, plus 5GW 'Hyperion' cluster. Plans $60-65B investment by 2025 for AI/data centers, competing with OpenAI/xAI. Commits to open-source and privacy despite environmental concerns.....

Recently, Andreas Schierenbeck, CEO of Hitachi Energy, the world's largest transformer manufacturer, stated in an interview with the Financial Times that as large technology companies see a surge in power demand when training artificial intelligence models, governments need to take measures to limit these fluctuations to ensure the stability of the power supply. Image source note: The image is generated by AI, and the image licensing service provider is Midjourney. Schierenbeck said that the power demand fluctuations in AI data centers are extremely severe,

Google's latest sustainability report reveals a startling fact: within just four years, the company's data center power consumption more than doubled, rising from 14.4 million megawatt-hours in 2020 to 30.8 million megawatt-hours in 2024. If the timeline is extended to ten years, compared to an estimated 4 million megawatt-hours in 2014, Google's data center power consumption has increased sevenfold. Growing electricity demand: data centers are major energy consumers, efficiency improvements face bottlenecks. Data shows that Google's power issues are almost entirely concentrated in data centers.

On June 30th, the world's first trillion-parameter large model for the power generation industry, Qinyuan, developed independently by the State Energy Group, was officially released. This innovative large model, with its unique full-stack independent and controllable characteristics, marks an important step forward for the power generation industry into a new era of intelligent decision-making. The Qinyuan large model aims to integrate the diverse scenarios, high complexity, and strong professionalism of the power generation industry, fully utilizing the State Energy Group's globally largest installed capacity and massive data resources. The launch of this model not only creates a new engine for multi-energy coordination and dynamic optimization, but also establishes an electricity

Recently, AI security company XBOW announced that its self-developed AI tool XBOW has outperformed others on the globally renowned vulnerability testing platform HackerOne, ranking first in the United States. This is the first time an AI tool has surpassed human security researchers to top the HackerOne vulnerability disclosure ranking, marking a milestone breakthrough for AI in the field of vulnerability detection. XBOW AI: Pioneer of Fully Automated Penetration Testing XBOW's AI tool is a completely autonomous penetration testing (pentest) system that requires no human intervention.

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

At the recent VivaTech科技Summit held in Paris, NVIDIA CEO Jensen Huang stated that European artificial intelligence (AI) computing power is expected to increase tenfold within the next two years. This prediction has drawn significant attention from the industry, especially given the increasing worldwide focus on AI technology. Huang pointed out that Europe is actively building more than 20 "AI superfactories", which will provide strong infrastructure support for AI development. He emphasized that countries in Europe have already realized

Gongbu Group recently announced a comprehensive and in-depth full-stack AI cooperation with Alibaba Cloud. The two parties will jointly create products based on Qwen large model and AI computing power and other advanced technologies to explore innovative end-side intelligent solutions. This move not only marks another significant breakthrough for Gongbu in the smart home field, but also indicates that its future will accelerate its overseas strategy by relying on Alibaba Cloud's global infrastructure. Gongbu and Alibaba Cloud have a long history of deep cooperation, establishing a close partnership since 2017. Currently, Gongbu's IoT system has been fully running on the Alibaba Cloud platform.

Recently, Sam Altman, CEO of OpenAI, published a new blog post, predicting that AI technology has crossed a critical threshold and will witness major breakthroughs in the coming years. From AI systems that discover novel insights in 2026 to robots capable of executing tasks in the real world by 2027, up to the great abundance of intelligence and energy in the 2030s, Altman's vision has sparked global discussions. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of this blueprint for the future of AI and its impact on the world.

Tomorrow, the 2025FORCE Original Power Conference will be held in grand style. During the conference, the capability upgrade of the BeanPod Large Model family will be revealed. At the same time, the highly anticipated new BeanPod Video Generation Model will also be officially released. It is reported that this new model has multiple excellent features. In terms of multi-camera narration, through efficient model structure design, as well as multimodal positional encoding and multitask unified modeling technology, the model can seamlessly support unique and stable multi-camera expression, making video narration more smooth and natural.