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Recently, ByteDance's Seed team officially launched a new Vision-Language-Action Model (VLA) called GR-3. This model demonstrates breakthrough capabilities in the field of robotic manipulation, not only understanding language instructions that include abstract concepts, but also precisely handling flexible objects. It also has the ability to generalize quickly to new tasks and recognize new objects. This achievement is seen as an important advancement toward a 'general-purpose robot brain'. Traditional robotic manipulation models often rely on large amounts of robotic trajectory data for training.

ByteDance open sources the lightweight multilingual translation model Seed-X, which supports bidirectional translation in 28 languages and demonstrates performance comparable to top-level large models. This 7-billion-parameter model is based on the Mistral architecture and focuses on translation optimization, showing excellent performance in multiple areas. It uses an innovative training strategy to generate high-quality data and optimize deployment efficiency. This is another open-source project from ByteDance following BAGEL and Seed-Coder, promoting advancements in AI translation technology.

Volc Engine, a subsidiary of ByteDance, is testing its new digital human platform, Chimera, which is based on AI large model technology and offers functions such as digital human generation and picture clothing changes. It is currently in a targeted invitation test phase, and public beta testing is expected to open by the end of the month. Subsequently, it will charge based on usage volume. In recent years, Volc Engine has continuously focused on the digital human field, obtaining digital human system certification in 2022, launching three types of digital human products in 2023, and collaborating with multiple companies to implement solution projects in financial and marketing scenarios in 2024. (140 characters)

Yang Jianchao, the head of ByteDance's Visual Large Model team, announced a temporary leave due to family reasons, with Zhou Chang, former technical leader of Alibaba's Tongyi Qianwen, taking over. This personnel change occurred during a period of adjustment in ByteDance's AI department, sparking concerns about the stability of the technical roadmap. Yang Jianchao's work information remains in the internal system, and Zhou Chang will lead the global Seed team to continue research on visual multimodal generation. The company emphasized its continued investment in basic research and hopes that the new leader will bring innovative energy. This change highlights the importance of balancing work and health in the fast-paced tech industry.

ByteDance's visual AI head Yang Jianchao steps down due to workload and family reasons, succeeded by ex-Alibaba M6 lead Zhou Chang. ByteDance reassures stability in Seed visual model team's global R&D.....

ByteDance's AI coding tool TRAE upgrades to 2.0 with enhanced coding, voice interaction, and multi-modal support, integrating Claude/DeepSeek models for Copilot-like functionality.....

Recently, the ByteDance Seed team collaborated with the University of Hong Kong and Fudan University to introduce an innovative reinforcement learning training method called POLARIS. This method successfully enhances the mathematical reasoning capabilities of small models to levels comparable to those of large models through a carefully designed Scaling RL strategy, offering a new approach for optimizing small models in the field of artificial intelligence. Experimental results show that the 4 billion parameter open-source model Qwen3-4B trained using POLARIS achieved remarkable performance on AIME25 and AIME24 mathematical tests.

ByteDance's Pico is developing a lightweight MR glasses, weighing only 127 grams. It uses a split design to transfer computing tasks to an external processing unit and is developing a dedicated chip to reduce latency. This move directly targets Meta's MR strategy, as the latter has paused the development of Quest 4 and shifted towards lightweight devices. Both major companies are betting on split-style MR glasses, indicating that the industry is transitioning from traditional VR headsets to more compact forms.

ByteDance open-sourced Trae-Agent, an LLM-based AI tool for software engineering tasks via natural language commands. Currently in alpha, it supports CLI and integrates multiple tools/LLM services. Aiming to foster an AI agent ecosystem, the GitHub project invites developer contributions.....

On June 26, 2025, ByteDance officially launched its latest image synthesis technology - XVerse, aimed at providing a high-precision multi-subject image generation solution. This innovative technology enables users to independently and precisely control multiple individuals, greatly enhancing the ability to generate personalized and complex scenes. The core of XVerse lies in its unique DiT modulation method, which allows control over the identity and semantic attributes of each subject without affecting the overall latent features of the image. By converting reference images into specific characteristics...

Recently, a media outlet revealed that the user growth team at ByteDance developed an AI product called 'Tante Fan'. This product uses the large model