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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.

Recently, the DeepMind team of Google collaborated with Brown University to develop a new technology called "force prompting". This technology can generate realistic motion effects without 3D models and physics engines, marking a significant breakthrough in the field of AI video generation. With this technology, users only need to specify the direction and intensity of the force to manipulate the content generated by AI videos. The force prompting technology can be applied to global forces (e.g., overall wind) and local forces.

Opera has officially announced the release of its new AI-driven proxy browser, Opera Neon, and opened an Alpha version waiting list. This browser redefines the way users interact with the web by integrating innovative features such as intelligent chatting, task automation, and content creation through its unique proxy function. AIbase has compiled the latest highlights of Opera Neon and its far-reaching impact on future browsing experiences. Global First Proxy Browser: Redefining the Web Experience Opera Neon is positioned as

Baidu has officially released Xinxiang, a mobile application featuring multi-agent collaboration. The Android version is already available, with the iOS version expected soon. Positioned as a general-purpose super AI agent, the app aims to intelligently address complex user needs in daily life.

A new Gartner report predicts that by 2027, enterprises will utilize task-specific AI models three times more frequently than general-purpose large language models. While acknowledging the strong language processing capabilities of general-purpose models, the report highlights their decreased accuracy in tasks requiring deep understanding of specific business domains. Consequently, businesses are increasingly focusing on customized AI models to meet their unique needs. Image note: Image generated by AI, image licensing provided by Midjourney.

A groundbreaking achievement in quantum computing has been reached with the successful fine-tuning of a billion-parameter AI model on Origin Quantum's Wukong, marking a significant milestone in the development of quantum-enhanced AI.

The Arc Prize Foundation, responsible for maintaining and managing the competition, last week revised its cost estimate for OpenAI's upcoming o3 inference AI model with a staggering adjustment—from an initial estimate of $3,000 per ARC-AGI task to $30,000. This price correction reveals that the operational costs of today's most complex AI models may be ten times higher than previously anticipated. While OpenAI has yet to announce an official pricing strategy for o3, or even officially release the model, the Arc Prize...

Recently, the 12th China Network Audio-Visual Conference was grandly opened in Chengdu, Sichuan. At the conference, Chen Rui, Chairman and CEO of Bilibili (Bilibili), delivered a keynote speech titled "High-Quality Content in the AI Era," sharing his insights on content creation in the new era.

Recently, Google announced the release of a brand new Vision-Language Model (VLM) called PaliGemma 2 Mix. This model combines image processing and natural language processing capabilities, allowing it to understand visual information and text input simultaneously, generating corresponding outputs as needed. This marks a significant breakthrough in artificial intelligence technology for multi-task processing. PaliGemma 2 Mix boasts powerful features, integrating image description and optical character recognition.