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On July 11, Moonshot officially launched the Kimi K2 model, which has stronger code capabilities and general agent task processing abilities, and simultaneously chose to open-source it. This foundation model based on the MoE architecture has a total parameter count of 1T and an activated parameter count of 32B, and it immediately attracted widespread attention upon its release.​ However, recently some users have reported that the API service speed for the Kimi K2 model is slow. In response to this, Moonshot posted tonight stating that the main reasons for the slow speed are the high volume of traffic and the large model size. To address this issue, the company

MoonDark releases trillion-parameter open-source model Kimi K2, featuring MoE with 32B active params. Excels in coding/math, supports tool use & code execution. Uses MuonClip optimizer, offers API & base model. Key competition to closed-source AI, available via official platforms.....

Moonshot AI officially released its latest creation - the Kimi K2 model, and simultaneously announced its open source. This foundation model based on the MoE architecture has gained widespread attention in the AI field since its release, thanks to its strong coding capabilities and excellent general Agent task processing abilities. The Kimi K2 model has a total of 1T parameters, with 32B activated parameters. It has achieved top performance among open-source models in a series of benchmark performance tests such as SWE Bench Verified, Tau2, and AceBench.

Recently, Kimi intelligent assistant under the Moonshot Dark Side announced that its first agent product - Kimi-Researcher (Deep Research) has officially started small-scale gray-scale testing. This new generation of agent models trained based on end-to-end autonomous reinforcement learning (end-to-end agentic RL) technology aims to provide users with efficient and in-depth deep research services. Kimi-Researcher demonstrates strong autonomous planning and execution capabilities when facing problems. It can not only

Moonshot AI recently announced the launch of Kimi-Audio, a new open-source audio foundation model aimed at advancing the field of audio understanding, generation, and interaction. This release has garnered significant attention from the global AI community and is considered a major milestone in the development of multimodal AI. This report provides a comprehensive overview of Kimi-Audio's core features, performance, and industry impact. Breakthrough Features: Versatile Audio Processing Capabilities Kimi-Audio-7B-Instruct based on Qwen

O aplicativo Tianyancha mostra que, recentemente, a Robô Transporte (Zigong) Tecnologia Co., Ltd. foi estabelecida, com Bi Ran como representante legal e capital registrado de 1 milhão de yuans. O escopo de negócios inclui desenvolvimento de software, serviços de sistemas de computadores, serviços de dados de internet, processamento e armazenamento de dados, desenvolvimento de software de aplicativos de inteligência artificial e desenvolvimento de software básico de inteligência artificial, sendo totalmente controlada pela Robô Transporte (Pequim) Tecnologia Co., Ltd., empresa afiliada à Robô Rápido.

The AI field is abuzz with the recent news of Moonshot's open-sourcing of its new optimizer, Muon, which boasts a computational efficiency twice that of traditional AdamW. This release coincides with DeepSeek's upcoming release of several codebases, generating significant industry attention and discussion. The Muon optimizer was initially proposed by OpenAI researchers Keller Jordan et al. in 2024 and showed excellent performance in training small-scale models. However,

On January 15, 2025, Beijing Dark Side of the Moon Technology Co., Ltd. announced the official release of the new multimodal image understanding model moonshot-v1-vision-preview. This model enhances the multimodal capabilities of the moonshot-v1 model series, helping Kimi better understand the world. The Vision model boasts powerful image recognition capabilities, accurately identifying complex details and subtle differences in images, distinguishing similar yet different objects, whether they are food or animals.

Recently, Kimi Open Platform launched the moonshot-v1-auto Model API, which automatically selects the optimal model to save costs. Additionally, it has updated features such as account password login, phone number replacement, and balance warning functions to enhance user experience. In the future, a connected search function will be introduced to strengthen API capabilities and provide developers with more innovative opportunities.

Moonshot AI proudly announces the launch of Kimi Browser Extension, designed to enhance the user experience on web pages and applications. This extension offers two main features: the Query Pen and the Summary Generator.The Query Pen allows users to select text to get instant explanations and answers; the Summary Generator is located in the bottom right corner of the webpage, helping users quickly summarize the full content. The extension supports global pop-up and sidebar modes, suitable for co

Intel announced its '10X Moonshot' plan during a closed-door event, aiming to promote the deployment of artificial intelligence and Cobots to influence every aspect of company operations. The 10A process is expected to be in production by the end of 2027.

The Moonshot AI Open Platform officially launches public testing, allowing developers to create their own API Keys and integrate model capabilities into their products. The API design is compatible with OpenAI, requiring no code modifications, and is compatible with multiple open-source repositories, offering a wealth of tools and resources. The platform provides file content extraction capabilities, targeting document and knowledge base scenarios.

OpenAI's chief scientist LeCun has proposed a seven-stage development roadmap towards AGI. The 'Moonshot' plan aims to tackle the alignment problem of super AI, with recent research showing significant progress using small models to supervise larger ones. LeCun emphasizes that the first stage is to build systems that can learn how the world operates like small animals. He mocks the intelligence of current large models, stressing that the key to AGI lies in establishing brain-like world models. LeCun's vision includes creating goal-driven, safeguarded systems to gradually achieve super artificial intelligence.

Moonshot AI's Kimi Chat is now fully open for service and no longer requires beta testing qualifications. Kimi Chat possesses strong multilingual capabilities, supporting context of approximately 200,000 Chinese characters. It achieves lossless long-range attention mechanisms through innovative network structures and engineering optimizations. Kimi Chat has significant advantages in Chinese and represents an innovation among large models trained primarily in English on the market. The open service of Kimi Chat will provide users with

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Moonshot AI, released by The Dark Side of the Moon, is the world's first large model to support an input length of 200,000 characters. Yang Zhilin, the founder of Moonshot AI, studied under top AI experts at CMU and is regarded as one of the candidates to be China's local 'OpenAI'. Moonshot AI has achieved breakthroughs in long text processing by optimizing storage, computing power, and network bandwidth, marking the entry of generative AI into the era of long text. Compared to other models, Moonshot AI avoids the 'Whale Model' and the 'Bee Model'.