Search AI Products and News

The Kimi Open Platform launched the Kimi K2 High-Speed Version (kimi-k2-turbo-preview), increasing the output speed from 10 Tokens per second to 40 Tokens per second while maintaining the original parameter scale, significantly improving response efficiency. This upgrade is mainly targeted at applications requiring higher real-time performance, aiming to optimize user experience.

kimi-k2-turbo-preview, the high-speed version of Kimi K2, is officially released. According to the information, this high-speed version model maintains the same parameter settings as the original kimi-k2, but achieves significant performance improvements. The output speed has jumped from 10 Tokens per second to 40 Tokens per second, providing users with a smoother and more efficient experience.

San Francisco AI startup Deep Cogito launches the Cogito v2 series of open-source large models, focusing on machine intuition and self-improvement capabilities. The series includes four dense and mixture-of-experts models with 70B to 671B parameters. The flagship 671B MoE model has a reasoning efficiency that is 60% higher than DeepSeek R1, and its performance is close to Claude4Opus. Its core technology involves internalizing reasoning paths into model weights through introspective reasoning, enabling continuous evolution while in use. Tests show that the model can

Medical AI company C8Health raises $12 million in Series A funding, bringing total funding to $18 million. The company's AI platform integrates dispersed clinical guidelines and policy knowledge bases in hospitals, helping medical staff quickly access the information they need through smart push notifications, solving the problem of fragmented medical information. The platform is already used in over 100 hospitals in the United States, with a user activity rate of 90%, averaging 3.49 visits per user per day. Its unique feature is combining performance data with knowledge push to provide personalized improvement suggestions. This round of funding will be used to expand system-level deployment.

Li Auto launches i8, a 6-seat electric SUV with Pro/Max/Ultra variants (¥321,800-369,800), delivering Aug 20. Features: dual-motor AWD, 5C battery (670-720km range), LiDAR, VLA AI system, 9 airbags. Offers 3 interior colors, 20-inch wheels, ¥10k discount.....

CAS-SIAT's HYPIR model restores 8K images in 1.7s with advanced text reconstruction, outperforming traditional methods through optimized algorithms. Applied in photo restoration and heritage conservation.....

Shenzhen Institute develops HYPIR model, restoring old photos to 8K in 1.7s with AI, advancing image processing for heritage and film restoration.....

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.

VLM2Vec-V2, a multimodal embedding framework developed by Salesforce Research and other institutions, breaks through the limitations of traditional models. Based on the Qwen2-VL architecture, this framework innovatively unifies image, video, and visual document retrieval tasks. It adds five new evaluation tasks to expand the MMEB dataset. With key technologies such as dynamic resolution and M-RoPE, it achieved an average score of 58.0 across 78 datasets, leading in performance, especially in video tasks. Although its document retrieval is slightly behind ColPali, it

Zhiyuan Robotics announced the open-source plan for the Zhiyuan Lingqu OS, an embodied intelligence operating system, at the 2025 World Artificial Intelligence Conference. The humanoid robot Lingxi X2 demonstrated intelligent interaction capabilities through natural dialogue. The system adopts a layered open-source model, including underlying middleware, agent framework, and toolchain, with plans to launch in the fourth quarter. Zhiyuan Robotics has already achieved application in fields such as industrial logistics, and its Qiyuan general embodied large model won the SAIL Star Award. The company will continue to improve the operating system and promote the development of embodied intelligence industry.

Memories.ai secures $8M funding for AI that analyzes 10M hours of video, surpassing 1-2 hour limits. Targets security/marketing with noise reduction, compression, and indexing. Faces competition but leads in scalability and edge computing.....

The Kimi team released the Kimi K2 technical report. This trillion-parameter large model, with 32 billion activated parameters, won the global open-source model competition, with performance comparable to top closed-source models such as GPT4.5. Its innovations include: using the MuonClip optimizer to process 15.5 trillion token data without loss; developing a multi-domain tool data synthesis pipeline; pioneering the restatement method to improve training efficiency, achieving the effect of ten rounds of original data in one round of rewritten data; optimizing model performance through supervised fine-tuning and reinforcement learning. The model is based on N

In 2025, open-source large models will show three major trends: 1) MoE architecture becomes mainstream, with DeepSeek-V3 (67.1 billion parameters) and Qwen3-235B (235 billion parameters) each having unique designs in their expert systems; 2) small models break through performance bottlenecks, with SmolLM3-3B adopting position-encoding-free technology, and Qwen3-4B achieving lightweight efficiency; 3) models show significant differentiation, with Llama3.2 focusing on general tasks, while Kimi-K2 (1 trillion parameters) excels in complex reasoning.

Tesla has released its new Dojo 2 chip, with performance 10 times that of the first generation, and computing power close to NVIDIA B200. The chip is manufactured by TSMC and uses advanced packaging technology, solving power consumption issues. Dojo 2 will assist Tesla's FSD autonomous driving system training, processing 16 billion video frames per day, achieving technological self-sufficiency. Musk revealed that next year a more powerful Dojo 3 will be launched, and he joked that Dojo 2 can run 'Crysis' at one billion frames per second. This breakthrough will reduce Tesla's reliance on NVIDIA and may be offered externally.

Swedish AI platform Lovable raised $200M in Series A, reaching $1.8B valuation. With 2.3M users, it enables natural language coding, generating $75M annually. Backed by Accel, it's popular among non-tech users, creating 10M+ projects.....

Moonshot AI's open-source model Kimi K2 excels in programming, matching Qwen3-235B-A22B and nearing o3-mini-high & Claude-3.7-Sonnet. With 1T MoE, 128k context, 65.8% accuracy on SWE-bench, and $0.14/M tokens, it's ideal for coding. Supports web generation, workflows, vLLM/Hugging Face deployment, MIT-licensed.....