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In today's increasingly competitive artificial intelligence landscape, ByteDance’s Seed team officially released its latest multimodal large model, Seed1.5-VL, on May 13, aimed at paving the way for advancements in intelligent agent technology. The model, which has undergone pre-training with over 3 trillion multimodal tokens, not only possesses strong general multimodal understanding and reasoning capabilities but also significantly reduces inference costs. Compared to Google's recently launched Gemini2.5Pro, Seed1.5-VL demonstrates impressive performance.

ByteDance has officially announced the opening source of its newly developed community-driven deep research framework DeerFlow, which has quickly attracted widespread attention in the AI research field. As an intelligent research assistant built based on the LangChain and LangGraph frameworks, DeerFlow deeply integrates language models with professional tools such as web search, crawlers, and Python code execution, providing new possibilities for automated research and content creation. The core functions of DeerFlow: perfect combination of intelligence and human-computer collaboration.

ByteDance recently announced the official launch of its "Top Seed" program for recruiting top AI talent from the class of 2026. The program aims to recruit approximately 30 outstanding doctoral students. This initiative focuses on cutting-edge artificial intelligence, encompassing research areas such as large language models, machine learning algorithms and systems, multi-modal generation and understanding, and speech processing. ByteDance hopes to attract young talents with strong potential and passion in the field of large language model research. Unlike previous recruitment plans, this year's "Top Seed" program emphasizes no restrictions on academic background.

According to LatePost, ByteDance recently made significant adjustments to its AI product department, Flow. The social companionship AI product, Cat Box, has a new leader. The previous head, Liang Chenqi, has left the company, and has been replaced by Xi Yuan (codename), the former head of Xinghui. Meanwhile, the Xinghui team, which develops AI camera and image generation applications, is slated to merge into the Doubao App, under the unified management of Doubao App's head, Lu You (codename). The Flow department is headed by Zhu Jun and includes Doubao, Cat Box, Xinghui, Doubao Aixue, and G.

ByteDance Research has announced the open-sourcing of ChatTS-14B, a 14-billion parameter large language model (LLM) specifically designed for understanding and reasoning with time series data. Released under the Apache2.0 license, ChatTS-14B's open-source release has garnered significant attention within the AI community, marking a substantial advancement in the intersection of time series analysis and generative AI. ChatTS-14B: An Intelligent Conversational Engine for Time Series. ChatTS-14B is based on Qwen2.5-1...

ByteDance's technology team announced that its new AI collaborative workspace, "Coze Space", is officially opening beta testing. Coze Space aims to be the optimal place for users to collaborate with AI Agents, providing comprehensive services ranging from answering questions to solving problems, helping users work more efficiently.

Recently, BMW Brilliance Lynk & Co Digital Information Technology Co., Ltd. (Lynk & Co) and ByteDance's Volcano Engine have partnered to innovate automotive marketing services with the help of Artificial Intelligence (AI) technology. This collaboration leverages AI to achieve precise product matching and purchase recommendations, optimize content guidance, and enhance the user car-buying experience and dealer operational efficiency. BMW Group President and CEO in Greater China, Gao Xiang, stated that AI is key to BMW's creation of smarter and more considerate mobility solutions, and is being rapidly integrated into R&D, production, supply chain, product, service, and operations.

ByteDance has officially released UI-TARS-1.5 on the Hugging Face platform, an open-source multimodal agent built upon a powerful vision-language model. This release marks another significant breakthrough for ByteDance in the field of AI automated interaction, providing developers and users with a highly efficient and intelligent cross-platform GUI (Graphical User Interface) automation solution. UI-TARS-1.5: A New Benchmark for Multimodal Agents. UI-TARS-1.5 is the latest in ByteDance's UI-TARS series...

The ByteDance Doubao large model team announced the open-sourcing of UI-TARS-1.5, an open-source multimodal agent built on a vision-language model capable of efficiently executing various tasks in a virtual world. The model achieved state-of-the-art (SOTA) performance on seven typical GUI (Graphical User Interface) benchmark evaluations and demonstrated, for the first time, its long-term reasoning capabilities in games and interactive capabilities in open spaces. This open-source project marks a significant advancement in multimodal agent technology for GUIs.

A significant breakthrough in the field of artificial intelligence. AIbase learned from social media that ByteDance recently announced the open-sourcing of its new multimodal generation model, Liquid. This model, utilizing an innovative unified encoding method and a single large language model (LLM) architecture, seamlessly integrates visual understanding and generation tasks. This release not only showcases ByteDance's technological ambition in multimodal AI but also provides a powerful open-source tool for global developers. Below is AIbase's in-depth analysis of the Liquid model, exploring its technological innovations and core features.

ByteDance's Seed team has officially released the technical report for its Seedream 3.0 text-to-image model. This model boasts significant performance improvements, representing a native high-resolution, bilingual (English and Chinese) foundational image generation model. It achieves breakthroughs in resolution, structural accuracy of generated images, and more, showing significant advantages over the previous version. The report details Seedream 3.0's performance across various dimensions. Data in the charts are normalized using the best indicator as a reference. Seedream 3.0 natively supports...

According to AI Technology Review, ByteDance's AI Lab is reportedly merging into its Seed team. This significant restructuring marks a major shift in ByteDance's internal AI R&D structure. Established in 2016, the AI Lab, previously a core part of ByteDance's AI research under Ma Weiying and reporting directly to Zhang Yiming, boasted a team of 150 researchers. Their work encompassed cutting-edge AI technologies, contributing significantly to the success of products like Douyin (TikTok) through advancements in recommendation algorithms and video effects. The AI Lab played a crucial role in ByteDance's growth.