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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.

Julius AI secures $10M seed funding led by Bessemer, with multiple top firms participating. Founder Rahul Sonwalkar, a YC alum, pivoted to AI data analytics, creating a tool that allows natural language queries for instant visual results. Used by Harvard professors and 2M+ users, generating millions of charts daily. Ex-Twitter viral fame founder now focuses on data innovation.....

Julius AI, an AI data analytics firm, raised $10M in seed funding led by Bessemer Venture Partners. Founded by Rahul Sonwalkar post-Y Combinator, it enables natural language data analysis with 2M users and 10M+ visualizations. Used in Harvard Business School, it simulates analyst conversations for data insights.....

Pudong New Area launched a seed fund with a total scale of 2 billion yuan for artificial intelligence. The first phase is 500 million yuan, making it the first state-owned capital venture capital fund in China focusing on the pre-seed stage. It has signed 18 projects. The AI industry scale in Pudong exceeds 160 billion yuan, accounting for 40% of the city, and has gathered more than 200 specialized model enterprises. In the future, five major measures will be implemented: releasing over 30 application scenarios, building a heterogeneous robot training field, establishing a full-cycle fund matrix, optimizing industrial policies, and providing talent services. The goal is to add 1,000 AI companies within three years, and the core output value will exceed 200 billion yuan, aiming to build a comprehensive AI ecosystem.

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.

On July 22, Tencent HuanYuan announced that its self-developed ASR (Speech Recognition) large model has been officially applied to the ima platform, achieving voice input functionality on mobile app interfaces for the first time, offering users a convenient experience of 'speaking fluently'. Users can now directly input questions or record inspirations through voice, without manually typing on the keyboard, greatly improving input efficiency. Tencent HuanYuan's ASR large model stands out with its keen auditory perception and intelligent understanding capabilities, accurately recognizing speech even in complex environments, capable of recognizing 300 words per minute, which is faster than

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.

Willow, a voice OS startup, raised $4.2M in angel funding for R&D. Its TNT tech combines deep learning & NLP to precisely parse complex commands. The pivoted medical team iterated 10x before focusing on voice. Competing with giants, Willow adopts open-source modular strategy with API plans. Challenges remain in multilingual support & privacy.....

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 Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

Repello AI is a startup focused on generative AI security. The company recently secured $1.225 million in seed funding to further its mission of protecting generative AI systems from emerging threats. Founded in 2024, the company is dedicated to building continuous AI red team testing and security protection solutions, with two flagship products: ARTEMIS and Repello Guard. This round of financing was supported by multiple investment institutions, including one that has been integrated into G.

Recently, the domestic embodied intelligent start-up "Lingyu Intelligence" announced the completion of a multimillion-dollar seed round financing. This round was led by InnoAngel Fund, with participation from Shuimu Alumni Seed Fund and Horizon Ventures. The company was co-founded by Jin Ge, an alumnus of the Department of Automation at Tsinghua University, together with his team. It is committed to creating a benchmark for embodied intelligent applications, accelerating the real-world implementation of robots in industrial and home scenarios. Lingyu Intelligence, leveraging its technical accumulation in the field of robot motion control, has built a general solution covering data collection from the human side, actuators on the machine side, to intelligent operation platforms, bridging from level L0 to L4 of intelligence.

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.