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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.....

Recently, the innovative AI company Vibemotion launched a revolutionary AI dynamic graphics platform, aiming to allow users to easily create high-quality dynamic videos through simple prompts and material input. Currently, the platform is available by invitation only, attracting widespread global attention from content creators. AIbase provides an in-depth analysis of the platform's key features and its potential impact on the creative industry. One-click generation of dynamic videos, lowering the creation threshold to a new low. The core of Vibemotion's AI dynamic graphics platform lies in its extremely simple user experience.

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.

Recently, the ModelScope community announced the release of a new dynamic benchmark dataset named UGMathBench. Its goal is to comprehensively assess the mathematical reasoning abilities of language models across a broad range of undergraduate mathematics subjects. The advent of this dataset fills the current gap in evaluating the reasoning capabilities of language models in the field of undergraduate mathematics and provides researchers with a richer and more challenging testing platform.

In the field of deep learning, normalization layers are considered an indispensable component of modern neural networks. Recently, research led by Meta FAIR research scientist Zhuang Liu, titled "Transformer without Normalization Layers", has garnered significant attention. This research not only introduces a new technique called Dynamic Tanh (DyT), but also demonstrates the effectiveness of Transformer architectures even without traditional normalization layers.

Amidst the ongoing success of the Call of Duty franchise, Activision Blizzard has confirmed the use of generative AI in the development of its games. While the player community had already suspected this, evidenced by some unusual character designs, the official statement has drawn significant attention. The Steam page for Call of Duty: Black Ops 6 explicitly mentions "Our team uses generative AI tools to help develop in-game assets." However, specific details about its implementation remain undisclosed. Based on available information...

At the Volcano Engine FORCE Conference on December 18, 2024, Jimed AI officially launched its new poster generation feature. This technology marks another significant advancement in the field of image generation. According to Jimed AI's product manager Li Chao, the standout feature of this poster generation function is its user-friendliness. Users only need to input a simple description, and the system can quickly generate creative posters. This process significantly reduces the time and expertise traditionally required in poster design, allowing more people to participate easily.

Recently, Microsoft announced that its email client Outlook will introduce a new feature called 'Copilot Themes,' which is an AI-driven theme customization option aimed at providing users with a more personalized visual experience. This feature requires support from Copilot Pro or enterprise licenses, allowing users to add a unique look to Outlook. This AI-driven theme feature will be available on Windows, macOS, iOS, and Android.

Recently, the smart ring market has undergone a new transformation. A patent submitted by Xiaomi to the China National Intellectual Property Administration (CNIPA) showcases an innovative design concept that effectively addresses the issue of ring size. According to a report by 91mobiles, Xiaomi's design employs an 'elastic component' combined with a spring mechanism, allowing the ring to dynamically adjust its size based on the user's finger. This design within the patent enables the smart ring to automatically adapt to different finger sizes, allowing users to wear it on various fingers and even share it with friends.