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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.

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...

ByteDance recently launched its new AI project, DreamActor-M1. This project aims to replicate the functionality of Runway Act-One, utilizing advanced generative AI technology to transform character performances in videos into virtual animations with improved accuracy and expressiveness. This news has quickly garnered widespread attention from the industry and netizens, seen as another significant step forward for ByteDance in the AI video generation field. Technological Breakthrough: Ambition to Surpass Runway Act-One. According to publicly available information, Drea...

Amidst the booming development of the artificial intelligence field, Bytedance's Doubao large model team (Seed) recently held an all-hands meeting, marking a significant decision regarding the team's future direction. The meeting was co-hosted by Zhu Wenjia and the newly appointed head of AI fundamental research, Wu Yonghui. This was the first time the two leaders appeared together, attracting widespread attention from the industry. At the meeting, Zhu Wenjia and Wu Yonghui clearly stated that the Seed team's primary goal is to "explore the upper limit of intelligence," which will serve as the core guidance for the team's future work. They pointed out that exploring...

According to several sources close to ByteDance, the company's AI core department Seed is undergoing rapid strategic adjustments and personnel changes. Dr. Wu Yonghui, a prominent AI expert who recently joined ByteDance from Google and was involved in the development of Gemini, will replace the original head of the LLM team and Seed, Zhu Wenjia, becoming the new head of the Seed department. Currently, the team is restructuring and adjusting reporting relationships.

The ByteDance Doubao large model team announced today the successful development of a new sparse model architecture called UltraMem. This architecture effectively addresses the high memory access issues during the inference of MoE (Mixture of Experts) models, improving inference speed by 2 to 6 times compared to MoE, and reducing inference costs by up to 83%. This groundbreaking advancement opens a new path for efficient inference of large models. The UltraMem architecture successfully resolves the memory bottleneck during inference of MoE architectures while maintaining model performance. Experimental results show that the parameters and activation conditions are the same.

Imagine being able to see a person speaking, moving, and even performing, all from just a single photo within seconds. This is the allure of OmniHuman-1, recently launched by ByteDance. This artificial intelligence model, which has gone viral online, can create highly realistic videos that bring static images to life. Combined with audio clips, it achieves lip synchronization, full-body movements, and rich facial expressions. Unlike traditional deepfake technologies, OmniHuman-1 is not limited to facial replacement; it can animate the entire person.

ByteDance officially launches its latest Doubao large model 1.5 Pro (Doubao-1.5-pro), which demonstrates outstanding comprehensive capabilities in various fields, successfully surpassing the well-known GPT-4o and Claude3.5Sonnet in the industry. The release of this model marks an important step forward for ByteDance in the field of artificial intelligence. Doubao 1.5 Pro adopts a novel sparse MoE (Mixture of Experts) architecture, utilizing a smaller set of activation parameters for pre-training. This design's innovation...

Recently, there were reports that ByteDance is collaborating with Nubia to develop an AI phone, expected to launch in 2025. According to these reports, the two parties have signed a framework agreement and plan to present a detailed proposal in the first quarter of 2025, followed by prototype production and testing stages, with a product launch event scheduled for late Q3 or October 2025, and the phone priced between 5000 to 7000 yuan. However, in response to this information, a ByteDance representative promptly stated that the information is false, emphasizing that the company has no such plans.

The AI wave is quietly reshaping the toy industry landscape. From the OpenAI toy created in collaboration with Curio by Elon Musk's former girlfriend, to ByteDance's "Eye-Catching Bag", and the popular AI pet Moflin in Japan, smart toys are rapidly occupying the market at an unprecedented pace. Data shows that the global AI toy market is expected to exceed $30 billion by 2024, with an average annual growth rate reaching 20%. Currently, the AI toy market is showing two main development directions: one type integrates AI technology into plush toys, like Moflin and Bub.

According to reports from 'Intelligent Emergence', Zhang Xiaoran, head of CapCut under ByteDance, has left her position. Zhang graduated from Wuhan University of Science and Technology and the Chinese University of Hong Kong and was an early member of the predecessor to CapCut, 'FaceMo'. Since the end of 2021, she has been responsible for the overall business of CapCut, Xingtu, and other products, witnessing the product's journey from its founding phase to a period of rapid growth. In early 2024, she began reporting to the new head of CapCut and other businesses, Zhang Nan, the former CEO of Douyin. During Zhang Xiaoran's tenure, CapCut achieved significant milestones.

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.

According to reports from Blue Whale Finance, Chen Zhijie, the head of algorithms for ByteDance's TikTok, is set to leave the company and has begun preparing a startup project related to artificial intelligence, focusing on AI Coding. Sources reveal that Chen is currently in talks with investors to advance his entrepreneurial plan. Image source note: Image generated by AI, image authorized by service provider Midjourney. Chen Zhijie joined ByteDance in April 2022 as Senior Technical Director, primarily responsible for TikTok's recommendation algorithms.

Recently, as ByteDance's Doubao Large Model accelerates its commercialization process and shows impressive performance in the global AI sector, the "Doubao" concept stocks have become the new favorites in the capital market, leading to a new round of price increases in the AI track. Several listed companies, including Tianyu Shuke, Juran Smart Home, and Bee Assistant, have seen their stock prices hit the daily limit for multiple days in a row, with Tianyu Shuke achieving 6 consecutive limits in 10 days by Friday's close, Juran Smart Home hitting 5 limits in 6 days, and Bee Assistant reaching a peak of 20CM limit up during trading. This reflects the market's strong optimism about the Doubao Large Model and its ecosystem.

On December 12, Peking University and ByteDance officially announced the establishment of the Doubao Large Model System Software Joint Laboratory, marking a new milestone in the collaboration between industry, academia, and research in China's AI field. The research work of the joint laboratory will be based on the Doubao large model independently developed by ByteDance. Researchers from universities and enterprises will conduct in-depth research on key technologies such as model training and inference within the laboratory. With the construction and development of the laboratory, a large number of Peking University students will also enter the laboratory for internships, working side by side with industry researchers.

According to Guangzhou Daily, on December 6th, news that 'ByteDance lured away Alibaba's large model talent with an eight-figure salary' quickly sparked heated discussions on social media. Reports indicate that Zhou Chang, the former technical leader of Alibaba's 'Tongyi Qianwen' large model, announced his departure to start a new venture on July 18 this year, but just two months later, there are reports that Zhou has quietly joined ByteDance. This news has been confirmed by relevant personnel from ByteDance. It is reported that Zhou's move is not a solo endeavor; more than ten members of his team have also joined him at ByteDance.

Recently, researchers from ByteDance Research Institute and Tsinghua University jointly released a new study, pointing out that current AI video generation models, such as OpenAI's Sora, while capable of creating stunning visual effects, have significant flaws in understanding basic physical laws. This study has sparked widespread discussion on the capabilities of AI in simulating reality. The research team tested AI video generation models under three different scenarios: predictions under known patterns and predictions under unknown patterns.

ByteDance announced that its AI smart assistant Doubao PC has launched a new feature that allows users to easily edit images without the need for professional photo editing skills. Users can simply visit doubao.com, select 'Image Generation' to create an image, click 'Continue Editing', and enter simple instructions to complete the editing with one click. Additionally, users can upload images for further processing through the 'Reference Image' entry.

Large Language Models (LLMs) like GPT and Llama have sparked a revolution in the field of artificial intelligence, but efficiently training these massive models while aligning them with human values remains a challenge. Reinforcement Learning with Human Feedback (RLHF) has become an important training method for LLMs in recent years, but traditional RLHF frameworks have limitations in flexibility, efficiency, and scalability. To address these issues, the ByteDance Doubao Large Model Team has open-sourced an RLHF framework called HybridFlow.

ByteDance quietly enters the new battlefield of AI communities, drawing industry attention with its internally incubated AI platform, Lumi. Positioned as a community for sharing AI models, the platform is still in the whitelist testing phase, but its complete ecological layout is beginning to take shape. As an important part of ByteDance's strategy in the AI field, Lumi's core positioning is to create a comprehensive platform that integrates model sharing, workflow building, and model training. In the context of AI technology rapidly penetrating various industries, the emergence of this platform may provide developers and researchers with greater opportunities.