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ByteDance's AI programming tool, Trae IDE, is involved in a data privacy controversy. Developers found that even after disabling telemetry, the tool continued to upload data, and there was a remote-activatable hot update mechanism. The official response stated that only non-sensitive statistical data and performance metrics are collected for product optimization, and emphasized compliance with data protection regulations. However, users questioned the transparency of the data encryption mechanism and noted that the privacy policy does not clearly list the specific types of data collected. The team explained that the telemetry mechanism is independent from VSCode, and that only the native module was disabled, hoping to ease user concerns.

In the 2025 RoboCup Humanoid League, the Tsinghua Huoshen team won their first championship by using the HumanoidKick algorithm developed jointly by ByteDance Seed and Tsinghua University. The algorithm enables robots to complete the entire process from finding the ball to kicking it through visual deep reinforcement learning, allowing them to respond in real-time to changes on the field. The competition, established in 1997, is the top event in the field of robot technology. The Tsinghua Huoshen team won convincingly in both the group stage and elimination rounds, ultimately winning 5:2. This breakthrough marks a significant milestone for China.

The Seed team of ByteDance announced the release of the experimental diffusion language model Seed Diffusion Preview, marking a major technological breakthrough in the field of language models. The model aims to validate the feasibility of the discrete diffusion technology route as a foundational framework for next-generation language models through structured code generation experiments. Seed Diffusion Preview has achieved significant improvements in inference speed, reaching 2146 tokens per second, which is 5 times faster than equivalent-scale autoregressive models.

Volc Engine announced that the daily tokens usage of Doubao Large Model exceeded 1.6 trillion, growing 137 times from last year, with a market share of 46.4%. At the launch event, new products such as Image Editing 3.0 and Simultaneous Interpretation 2.0 were introduced, and the large model was upgraded to version 1.6. President Tan Dai pointed out that AI is shifting from a tool to an intelligent agent, which will significantly change ways of living and working. IDC predicts that the public cloud large model usage in China will reach 114.2 trillion tokens in 2024. Volc Engine expects revenue to exceed 12 billion yuan in 2024. New products...

ByteDance's Trae IDE faces privacy concerns: Tests reveal 500 network requests in 7 mins, uploading 26MB data (device info, usage habits) despite telemetry being off. Claims data is anonymized, blames VS Code framework. Sparks debate on transparency/resource use - Trae uses 5x more RAM than VS Code.....

ByteDance officially launched its highly anticipated AI Agent development platform 'Coze', and announced that the platform is open-source and supports commercial applications. With its powerful features and user-friendly interface, the platform has quickly received over 6,000 stars on GitHub, becoming a new favorite in the developer community.

The ByteDance Seed team officially announced its latest research achievement - the Seed LiveInterpret 2.0 end-to-end simultaneous translation large model. The release of this model marks a major breakthrough in machine simultaneous translation technology, with its translation accuracy approaching that of professional interpreters, and an extremely low latency of only 3 seconds. It also features real-time voice cloning, allowing the translated speech to be output in the speaker's tone, greatly enhancing the naturalness and fluency of cross-language communication.

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.....