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Total 174 articles
KUNLUN's Skywork AI has announced the open-sourcing of its latest video generation model, SkyReels-V3, which integrates three key functions—reference image to video, video extension, and audio-driven virtual characters—into a single architecture. The image-to-video technology outperforms mainstream models like Vidu and Kling in reference consistency (0.6698) and visual quality (0.8119); the video extension supports scene transitions and narrative expansion; and the virtual character module can generate long videos with synchronized audio and visuals.
OpenAI has launched a free research collaboration platform called Prism, based on GPT-5.2, aimed at addressing the fragmentation of research tools. Prism integrates a cloud-based LaTeX editor, supports real-time collaboration with an unlimited number of co-authors, and provides AI assistance throughout the entire process, from abstract to acknowledgments.
Alibaba Tongyi has open-sourced the 6B parameter non-distilled base model Z-Image, aimed at addressing the issues of单一 and homogenization in AI-generated art. The model supports diverse style generation from realistic to anime and has been optimized for better compatibility with fine-tuning methods like LoRA and ControlNet.
On January 27, the Dark Side of the Moon team released Kimi K2.5, the most intelligent and versatile open-source model to date. The model achieves open-source SOTA levels in various benchmark tests, including Agent tasks, code generation, and visual understanding (images/videos), supporting multimodal input and four working modes. It innovatively introduces "Agent cluster" capabilities, enabling the model to autonomously create up to 100 clones to handle complex tasks in parallel, with efficiency improvements of up to 4.5 times.
Alibaba Cloud has officially released its largest and most capable inference model, Qwen3-Max-Thinking. The model has over 1 trillion parameters and 36T Tokens of pre-training data, setting new records in multiple international benchmark tests. Qwen3-Max-Thinking innovatively adopts a test-time expansion mechanism, enhancing inference performance while being more economical.
Tencent's HunYuan team has officially released the HunYuan Image 3.0 model, which has a total of 80 billion parameters and uses a Mixture of Experts (MoE) architecture. The model supports various visual creation functions such as image editing, multi-image fusion, and more. Users can perform operations like adding, deleting, modifying, style transformation, and old photo restoration through natural language commands. The model can intelligently understand image content and generate detailed editing steps.
Zhipu AI has officially launched the "AI Learning Companion" AI learning assistant, and the first batch of user experience slots are now open for application. The product reshapes the learning experience through intelligent summarization, interactive visual cards with AI tutor Q&A, and precise question generation with a "learn-practice-test" closed loop.
The Qwen3-TTS series of speech synthesis models, developed by the Tongyi Qwen team, has been officially open-sourced. The series includes models with 1.7B and 0.6B parameters, supporting voice cloning, voice creation, and human-like speech synthesis. It uses an innovative 12Hz multi-codebook speech encoder and a dual-track modeling architecture to achieve efficient speech compression and high-fidelity restoration, with the first audio packet delay as low as 97 milliseconds. The models cover 10 major languages and dialects, including Chinese, English, Japanese, and Korean, and support precise control of voice, emotion, and prosody through natural language commands.
StepFun has open-sourced the 10B parameter multimodal model Step3-VL-10B, which outperforms mainstream large models with 20 times more parameters in various benchmark tests. The model achieves SOTA performance in core dimensions such as visual perception, math competitions, and logical reasoning, thanks to its innovative Parallel Coordinated Reasoning (PaCoRe) mechanism, which significantly enhances complex task handling capabilities.
Zhipu AI has officially open-sourced and released the GLM-4.7-Flash model, which features a hybrid thinking architecture with a total of 30B parameters and only 3B active parameters, providing a high-performance option for lightweight deployment. The model performs excellently on mainstream benchmarks such as SWE-bench Verified and τ²-Bench, surpassing open-source models of the same size to achieve SOTA levels.
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