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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.

NVIDIA's Canary-Qwen-2.5B sets a 5.63% WER record on Hugging Face OpenASR. This CC-BY licensed model combines FastConformer encoder with Qwen3-1.7B LLM decoder for efficient speech-to-text and NLP. Supports multi-GPU deployment for cloud/edge applications.....

Lanxin Tech unveiled 'Lanxin Jiugong AI Energy Model' at the Chain Expo, featuring core technologies like a time-series prediction engine with 90% accuracy and an AI agent engine for real-time monitoring and strategy generation, now applied in Guangdong, Shandong, and Zhejiang.....

MirageLSD, the world's first AI real-time video conversion model with 40ms latency, enables instant scene/outfit changes via gestures. Applied in gaming/livestreaming, its LSD model uses Diffusion Forcing to eliminate long-generation errors.....

Cursor's regional restrictions drive developers to adopt Chinese AI Kimi K2, hitting 10B daily tokens. Its API is 5-25x cheaper than Claude, gaining global traction in coding and content creation.....

AI coding tool Windsurf announced the re-launch of Anthropic's Claude Sonnet 4 model, offering Pro users a monthly quota of 250 API calls (2x credit consumption). The model is known for its 72.7% performance on the SWE-bench test, supports a 200K token context window, and enables code generation and complex refactoring features. Previously, due to Anthropic's restrictions on direct access, Windsurf introduced a BYOK solution. This partnership restoration is being

Huawei, Yunnan Communications Investment, and Chang'an University launched the 'Green and Beautiful Corridor·Transportation Model' to drive digital transformation in transport. It features an 84% accurate cognitive model, AI computing centers, and 35 edge nodes, enhancing efficiency and safety in construction and management.....

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.

TRAE.ai launches Kimi-K2 model and Grok-4(Beta). Kimi-K2 excels in code/math with MoE architecture, rivaling GPT-4.1. Easy 3-step access. International version adds Grok-4(Beta) testing alongside Claude, Gemini, GPT.....

Unsloth AI quantized Moonshot AI's 1T-parameter Kimi K2 model to 1.8bit, reducing size by 80% to 245GB while maintaining performance. The MoE-based model excels in coding and reasoning, now deployable on 512GB M3Ultra devices, lowering costs. This advancement positions Kimi K2 as a GPT-4.1 competitor, benefiting SMEs and boosting open-source AI adoption in education/healthcare.....

Meta accelerates AI infrastructure, targeting a 1GW 'Prometheus' supercomputer with 1.3M NVIDIA H100 GPUs (2 exaflops) by 2026, plus 5GW 'Hyperion' cluster. Plans $60-65B investment by 2025 for AI/data centers, competing with OpenAI/xAI. Commits to open-source and privacy despite environmental concerns.....

Meta may shift from open-source to closed-source AI, potentially abandoning its 'Behemoth' model due to poor performance. Despite claims of commitment to open-source, this move could challenge Zuckerberg's vision, impact AI competition, and disadvantage smaller firms reliant on open models, including China's AI strategy.....

Meta may shift from open-source to closed-source AI strategy, potentially shelving its next-gen model Behemoth due to performance issues. This strategic pivot, if approved, could reshape the global AI landscape and impact startups.....

Chinese AI firm MiniMax raised $300M, reaching a $4B valuation. Backed by Shanghai state capital, it's now one of China's two $3B+ LLM companies. Founded by ex-SenseTime executives, with prior investments from Alibaba and Tencent, it's reportedly preparing for a Hong Kong IPO.....

Google released Gemini, the top embedding model with 68.37 MTEB score, surpassing OpenAI. Based on Transformer, it supports multilingual tasks at $0.15/M tokens, boosting AI applications like search.....

The Silicon Base Flow platform has launched the open-source MoE model Kimi K2 developed by Moonshot AI. The model has a total of 1T parameters and 32B activated parameters, supports a context length of 128K, and performs excellently in coding and agent tasks. The pricing is 4 yuan per million tokens for input and 16 yuan per million tokens for output. New users can get 14 yuan in trial credit upon registration. The model has three technical advantages: 15.5T tokens of large-scale training, MuonClip optimizer for stable expansion, and design optimized for agent tasks. Tests show that it excels in coding

OpenAI announced the postponement of its first open-source large model release, with CEO Sam Altman stating that more time is needed for safety testing and risk assessment. This new model, which has performance comparable to o3-mini, may be named 'Open Model,' but the extent of its openness remains unclear. Research Vice President Aidan Clark emphasized that the company maintains strict standards for open source, as the model cannot be recalled once released. Although the delay disappointed some users, OpenAI believes ensuring safety and taking a responsible approach is more important. This decision will shape the future of models.

OpenAI announced the postponement of the open-source large model release. CEO Sam Altman stated that more time is needed for safety testing. The model was originally scheduled to be released this week but is now delayed until next week to ensure its safety and reliability. Altman emphasized that once the model is released, it cannot be recalled and must be handled with caution. This is OpenAI's first attempt to release a downloadable self-running model, aimed at providing powerful tools for researchers and small businesses. Although the delay is disappointing, the community generally understands the importance of safety testing and believes it is crucial for the AI ecosystem.

The CEO of American AI company Perplexity publicly praised the newly released Kimi K2 model with one trillion parameters from Moonshot AI, stating that they may conduct training based on this model. Kimi K2 uses a mixture-of-experts architecture, showing excellent performance in tasks such as code generation, intelligent agents, and mathematical reasoning, and has achieved leading results in multiple benchmark tests. Perplexity previously used the DeepSeek R1 model, and this statement shows that they are actively seeking technological collaborations to drive AI product development. Kimi K