Kunlun Wanwei has open-sourced its Skywork R1V multimodal reasoning model, marking a significant advancement in Chinese AI capabilities. This powerful model represents a major leap forward in the field.

Kunlun Wanwei has officially released Skywork R1V (referred to as "R1V"), the world's first industrial-grade multimodal reasoning model. This 3.8 billion parameter model's performance is close to the well-known closed-source model DeepSeek-R1, and even surpasses it in several benchmark tests, outperforming a series of current state-of-the-art (SOTA) technologies. Kunlun Wanwei's decision to open-source R1V aims to promote technology sharing and progress, injecting new vitality into the global AI open-source community. R1V is distinguished by its superior multimodal reasoning capabilities.

The AI revolution is upon us! Tech leader Kai-Fu Lee recently made a bold prediction: 2025 will not be ordinary; it will mark an explosive year for AI applications and a crucial test for large model commercialization. Opportunities and challenges coexist as a transformative storm reshaping the future of AI is brewing. Lee's prediction is not unfounded but based on his deep understanding of industry trends. He points to the emergence of DeepSeek as an example, expressing excitement that it represents more than just a Chinese AI advancement.

The Allen Institute for AI (AI2) recently unveiled its latest large language model, OLMo2 32B. This model boasts a significant advantage: it's fully open-source, directly challenging proprietary models. The most notable feature of OLMo2 32B is its completely open nature. AI2 has generously released all data, code, weights, and detailed training processes. This transparency sets a new standard.

Tencent HunYuan recently announced the launch of five new open-source 3D generative models. Built upon Hunyuan3D-2.0, these models boast faster generation speeds, richer details, and more realistic material expression. Simultaneously, Tencent's self-developed 3D AI creation engine has been upgraded, adding features such as multi-view input, intelligent model simplification, and full format compatibility. It is now fully open to C-end users. Among these new models, the Turbo series maintains high precision and quality while optimizing the geometric generation model...

Attention all visual enthusiasts seeking high-definition images! The image processing world welcomes a powerful new contender: Thera, an open-source arbitrary scale super-resolution model. This cutting-edge model offers a user-friendly open-source approach to significantly improve image clarity. Thera not only restores blurry photos to their former glory but also provides unparalleled flexibility in scaling images, making it a boon for detail-oriented users and a nightmare for blurry image enthusiasts! Want to enlarge an image to any arbitrary size? Frustrated with fixed magnification factors? Thera offers a solution, eliminating these limitations.

Recently, Professor Zhai Jidong's team from the Institute of High Performance Computing at Tsinghua University, in collaboration with Tsinghua-affiliated innovative enterprise, Qingcheng Extreme Intelligence, announced the open-sourcing of Chitu, a groundbreaking large model inference engine. This innovative technology marks another significant breakthrough for China in the AI field, particularly in inference engine development. A core highlight of the Chitu engine is its ability to natively run FP8 precision models on non-Nvidia Hopper architecture GPUs and various domestic chips.

Recently, the 360 ZhiNao team announced the successful replication of DeepSeek's reinforcement learning results and the official release of the open-source reasoning model Light-R1-14B-DS. This model surpasses DeepSeek-R1-Distill-Llama-70B and DeepSeek-R1-Distill-Qwen-32B in performance, becoming the industry's first 14B parameter model to achieve reinforcement learning effects. It significantly improves mathematical reasoning capabilities, outperforming most 32B-parameter models.

AI startup Luma recently announced on X that it has open-sourced a new image model pretraining technique called Inductive Moment Matching (IMM). This breakthrough technology has garnered significant attention for its efficiency and stability, considered a major advancement in the generative AI field. According to X user linqi_zhou, IMM is a novel generative paradigm capable of stable training from scratch with a single model and single objective, surpassing existing methods in both sampling efficiency and sample quality.

Heard of OpenAI's extravagant Sora? With training costs easily exceeding millions of dollars, it's like the Rolls-Royce of video generation. Now, LuChern Technology announces the open-sourcing of its video generation model, Open-Sora 2.0! For a mere $200,000 (equivalent to 224 GPUs), they successfully trained a commercial-grade video generation model with 11 billion parameters. Performance rivals OpenAI Sora. Don't let the low cost of Open-Sora 2.0 fool you...

A German research team has developed and released FIORA, an open-source graph neural network (GNN) model designed to improve the accuracy of mass spectrometry analysis. This advancement is expected to significantly contribute to the progress of precision medicine.

Google CEO Sundar Pichai announced at a launch event that Google has open-sourced its latest multimodal large model, Gemma-3. This model is attracting significant attention for its low cost and high performance. Gemma-3 offers four different parameter scale options: 1 billion, 4 billion, 12 billion, and 27 billion parameters. Surprisingly, the largest 27 billion parameter model only requires a single H100 GPU for efficient inference, while similar models often require ten times the computing power.

Frustrated by the slow image generation speeds of your meticulously trained models? Luma AI recently open-sourced Inductive Moment Matching (IMM), a pre-training technique promising dramatically faster high-quality image generation. This is a significant breakthrough, accelerating the process considerably. Algorithm stagnation? Luma AI shatters the ceiling! In recent years, the AI community has...

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