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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 The previous head, Liang Chenqi, has left the company, and has been replaced by Xi Yuan (codename), the former head of Xinghui.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.

Minecraft's appeal largely stems from its high degree of customizability, with plugins being central to this. However, the community-driven plugin ecosystem, while offering endless possibilities, also harbors security risks. Malicious code, backdoors, or plugins with critical vulnerabilities can ruin a server administrator's hard work. Now, a new tool called MCPSCAN.AI leverages artificial intelligence to address the security challenges within the vast Minecraft plugin landscape.

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.

A new milestone has been reached in the field of AI video generation. AIbase learned from social media that ByteDance recently released a paper and demo of its new video generation model, Seaweed-7B, showcasing groundbreaking capabilities including synchronized audio and video generation, long-shot storytelling, and real-time high-resolution generation. This release signifies ByteDance's accelerated deployment in AI video technology. Below is AIbase's in-depth report on Seaweed-7B, analyzing its technological highlights and industry impact. Seaweed-7B is groundbreaking.

Bug fixing is a persistent challenge in software development. ByteDance's Doubao large model team has exciting news: they've launched Multi-SWE-bench, the first multi-lingual software engineering (SWE) dataset. This new dataset aims to evaluate and improve the ability of large models to automatically fix code errors. Multi-SWE-bench significantly expands the scope compared to previous single-language datasets. It covers not only Python, but also...