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The StepZen team announced that their latest generation foundational large model, Step3, is officially open-sourced. Step3 is a model designed for enterprises and developers who pursue the optimal balance between performance and cost, aiming to create the most suitable model for the inference era. The open-source address of this model includes GitHub, Hugging Face, and ModelScope, allowing developers to freely download and experience it. Step3 adopts an MoE architecture, with a total parameter count of 321 billion and an activated parameter count of 38 billion. It

Tencent's X-Omni AI model integrates reinforcement learning to unify image generation and understanding, outperforming rivals in text rendering and visual tasks without classifier guidance.....

Step Star releases the next generation Step 3 large model, which will be open-sourced on July 31st. This 321B parameter multi-modal reasoning model performs outstandingly in intelligence and reasoning efficiency, supporting cross-domain knowledge understanding and visual analysis. The company has established the Model Chip Ecosystem Innovation Alliance in cooperation with chip manufacturers and reached a strategic cooperation with Shanghai State Capital, promoting the application of large models. Step 3 achieves 300% reasoning efficiency of competing products on domestic chips, with over 70% improvement in throughput, and has established a 1+N model matrix covering multiple fields. The model has achieved SOTA on multiple rankings.

Step Zenith has officially launched its new research assistant, 'Step Deep Research,' which is now available for experience on the Step Zenith App and stepfun.com platform, while also opening internal invitation testing. This intelligent tool is designed for fields such as finance, consulting, healthcare, law, policy, and academic research. It can independently complete complex research tasks in about ten minutes and generate reports that are both in-depth and professional, providing efficient support to researchers. The core advantage of 'Step Deep Research' lies in its powerful information processing and integration capabilities. In the context of Sequoia China

ByteDance launched the Trae IDE 2.0 version, which realizes a breakthrough in AI autonomous programming with its revolutionary SOLO mode. This mode integrates tools such as the editor and terminal, enabling the completion of the entire development process from concept to deployment without continuous human intervention. Tests show that SOLO can autonomously develop and deploy applications, such as a WeChat Moments analysis tool. Compared to traditional AI coding tools, Trae 2.0 provides a more complete end-to-end solution, surpassing similar competitors. Currently, Pro users can experience this feature, which requires an invitation code to unlock. This upgrade marks a significant step forward.

The total number of parameters in the Step1X-3D model reaches 4.8B, with 1.3B for the geometry module and 3.5B for the texture module. With a solid data foundation and advanced 3D-native architecture, this model is capable of generating high-fidelity and controllable 3D content. Step1X-3D not only pursues visual aesthetics, but also emphasizes usability and controllability, aiming to provide a powerful and reliable technical engine for 3D content creation.

Step1X-Edit is a groundbreaking open-source image editing model that achieves performance comparable to leading closed-source models such as GPT-4o. It offers a powerful and versatile solution for various image manipulation tasks.

Recently, Yiren Digital (NASDAQ: YRD) announced that its self-developed Zhiyu large language model has officially completed registration in accordance with the relevant provisions of the "Interim Measures for the Management of Generative Artificial Intelligence Services." This news marks a significant step for Yiren Digital on the path to AI technology compliance and lays a solid foundation for its intelligent applications in the financial field. As a leading AI-driven financial service provider in China, Yiren Digital is driving industry transformation through technological innovation. Image Note: Image generated by AI, image authorized by Midjour.

StepStar Technology team officially announced the launch of its new multimodal reasoning model, Step-R1-V-Mini. This release marks a significant breakthrough in multimodal collaborative reasoning, injecting new vitality into the further development of AI technology. Step-R1-V-Mini supports image and text input with text output, demonstrating strong instruction following capabilities and versatility. It can accurately perceive images and complete complex reasoning tasks.

Shanghai Step Star Intelligent Technology Co., Ltd. has announced the open-source release of its latest text-to-video model, Step-Video-TI2V. Trained on a 30B parameter Step-Video-T2V model, it generates 102-frame, 5-second videos at 540P resolution. Key features include controllable motion amplitude and camera movement, performing particularly well in generating anime-style videos.

In the fiercely competitive AI landscape, a million-dollar experiment is quietly revolutionizing large language model (LLM) training. Jieyue Xingchen's research team recently released groundbreaking findings. By utilizing nearly 1 million NVIDIA H800 GPU hours, they trained 3,700 models of varying sizes from scratch, accumulating a staggering 100 trillion tokens. This revealed a universal scaling law dubbed 'Step Law,' offering a novel guide for efficient LLM training.

Recently, the Modelers community officially launched Step-Video and Step-Audio, two open-source multimodal large models developed by Step-Star. These models are designed for video generation and voice interaction, respectively, aiming to provide developers and enterprise users with more powerful AI tools. Step-Video, formally known as Step-Video-T2V, is a 30-billion parameter model, making it the world's largest open-source video generation model. This model can directly generate 20...

Today, Step-Chronicles and Geely Automobile Group announced the joint open-source of two models from the Step series of multimodal large models: the Step-Video-T2V video generation model and the Step-Audio voice model. Among them, the Step-Video-T2V video generation model is globally ahead in both parameter count and performance. This model has 30 billion parameters and can directly generate high-quality videos at 540P resolution with 204 frames, ensuring high information density and strong consistency in the generated content. Evaluation results show that