29-04-2025 |
CombiBench Unveiled: New Benchmark Tests AI on Complex Combinatorics Problems |
AI Tool Benchmarking |
Kimi.ai introduces CombiBench, an innovative benchmark designed to challenge AI models with intricate combinatorics problems, pushing the boundaries of mathematical reasoning. This tool aims to enhance AI's problem-solving capabilities in advanced mathematics. Explore CombiBench and its dataset to elevate your AI research today. |
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26-04-2025 |
Moonshot AI Unveils Kimi-Audio: A Breakthrough in Audio Technology |
Feature |
Moonshot AI introduces Kimi-Audio, an open-source audio foundation model excelling in speech recognition, audio understanding, and conversation. Trained on over 13 million hours of diverse audio data, Kimi-Audio achieves top performance on multiple benchmarks. The model comes with a comprehensive evaluation toolkit to support fair testing and innovation. Explore the technical report and start building with Kimi-Audio on GitHub or HuggingFace today. |
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25-04-2025 |
Kimina-Prover Preview Unveils 72B Model Demo and Open-Source Lean Server |
AI Innovation Update |
The Kimina Team, a collaboration between Numina and Kimi Moonshot, has launched a demo of the 72B Kimina-Prover Preview model, achieving top results on the miniF2F benchmark. They have also open-sourced the Kimina Lean Server, a tool used in their training process to support scalable theorem proving. These advancements make formal reasoning more accessible for researchers and developers. Visit the Kimina Team’s GitHub page to try Kimina-Prover Preview and explore its capabilities for AI-driven math solutions. |
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14-04-2025 |
Kimina-Prover Sets New Benchmark in Lean Theorem Proving with Reinforcement Learning |
AI Tool Benchmarking |
Kimi.ai and Numina unveil Kimina-Prover Preview, a breakthrough in formal reasoning that achieves a state-of-the-art 80.7% on the miniF2F benchmark. Built with a reinforcement learning pipeline, it delivers efficient theorem proofs using Lean 4 and supports the research community with open-sourced models and tools. The project highlights long-context reasoning and model size scaling. Explore Kimina-Prover’s capabilities and access the full technical report on GitHub. |
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12-04-2025 |
Kimi-VL-A3B: A Vision-Language Model That Reads Its Own Research Paper |
Showcase |
Kimi-VL-A3B, developed by Moonshot AI, is a groundbreaking vision-language model that can understand its own research paper and interact with its demo. This innovative tool excels in processing images and text, offering unique capabilities for researchers and developers. Available on Hugging Face, it’s a must-explore for those interested in advanced AI applications. |
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10-04-2025 |
Kimi.ai Launches Kimi-VL-A3B-Thinking Demo for Smart AI Exploration |
Release Notes |
Kimi.ai has released a live demo of Kimi-VL-A3B-Thinking, an innovative tool designed to showcase advanced AI reasoning and capabilities. Hosted on Hugging Face, it invites users to experience its powerful features firsthand. |
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09-04-2025 |
Kimi-VL Unveils Powerful Vision-Language Model with Advanced Reasoning Capabilities |
AI Innovation Update |
Kimi-VL and Kimi-VL-Thinking, new open-source models from Moonshot AI, deliver strong multimodal reasoning and high-resolution visual processing with just 3 billion parameters, outperforming larger models like GPT-4o on key benchmarks. These lightweight yet efficient tools excel in math, video analysis, and long-context tasks, making them valuable for researchers and developers. Explore the detailed paper on GitHub or check out the models on Hugging Face to see their potential. Share your thoughts on how these innovations could shape the future of AI research |
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11-03-2025 |
Kimi AI Rolls Out Google Login Feature for Seamless Access |
Feature |
Kimi AI, from Moonshot AI, has launched a Google login option, simplifying user access to its advanced AI assistant platform. This update fulfills user requests, offering a smoother sign-in experience on Kimi.ai. The feature boosts convenience for exploring Kimi’s robust capabilities, such as deep reasoning, web browsing, and long-context processing, making it a standout in the AI assistant landscape. Discover how this enhancement elevates user interaction with innovative AI tools. |
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10-03-2025 |
Moonshot AI and Tsinghua University’s Award-Winning Collaboration Boosts Kimi Chatbot with Mooncake |
Collaboration |
Moonshot AI’s partnership with Tsinghua University shines in their joint project, Mooncake, earning the Best Paper Award at FAST 2025 for its innovative approach to LLM serving. This collaboration supercharges the Kimi chatbot at kimi.ai, achieving up to 115% throughput gains through a KVCache-centric architecture. By blending academic brilliance with industry expertise, the team has enhanced Kimi’s speed and efficiency for users worldwide. Dive into this groundbreaking work and share your thoughts in the KImi AI Chatbot's discussion section on Toolkitly. |
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07-03-2025 |
Muon Optimizer Boosts AI Training Efficiency, Outshines Adam |
AI Innovation Update |
Jianlin Su’s team at Kimi.ai unveils Muon, an AI optimizer doubling training efficiency over Adam, as detailed in their ‘Muon is Scalable for LLM Training’ report. Powering the open-source Moonlight model, Muon leverages spectral norm constraints for stability and speed. The technical breakthrough promises faster, more effective large language model development. |
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28-02-2025 |
Kimi AI Unveils Moonlight and Moonlight-A Checkpoints, Boosting AI Research in Math and Code |
AI Innovation Update |
Kimi AI has released intermediate checkpoints of its Moonlight and Moonlight-A models, promising to revolutionize AI research with enhanced capabilities. The Muon-trained Moonlight outperforms its AdamW-trained counterpart in math and coding tasks, sparking excitement among developers. Researchers can now explore differences in SVD entropy and Srank, offering fresh insights into AI optimization. |
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26-02-2025 |
Mooncake & vLLM Unite: KVCache AI Architecture Goes Open-Source |
AI Innovation Update |
Mooncake teams up with vLLM to bring its KVCache-centric AI architecture to open-source, featuring P/D disaggregation and global KVCache design. This boosts LLM efficiency for developers. Check the design doc and join the vLLM Slack discussion now! |
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23-02-2025 |
Muon’s Scalable AI Training Breakthrough on Large Clusters |
AI Innovation Update |
Discover the latest AI innovation as Kimi Moonshot reveals the Muon optimizer’s scalability for large-scale training on clusters. Boosting efficiency by 30% over AdamW, this advanced neural network tool excels in supervised fine-tuning and hints at reinforcement learning potential. Explore how Muon’s low-cost, high-performance design could transform artificial intelligence development in 2025. |
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23-02-2025 |
Moonshot AI Unveils Scalable Muon Optimizer and Moonlight Model in New Tech Report |
Model Improvements |
Moonshot AI’s latest report, Muon is Scalable for LLM Training, showcases the Muon optimizer’s scalability for large language models (LLM). Using weight decay and fine-tuned scaling, Muon delivers double the computational efficiency of AdamW, with smooth transitions and a memory-efficient distributed design. Moonlight, a 3B/16B MoE model trained on 5.7T tokens, enhances AI performance with reduced FLOPs. All resources are open-sourced, advancing machine learning innovation. |
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20-02-2025 |
Kimi AI’s machine learning powerhouse challenges OpenAI with free artificial intelligence service |
Feature |
Moonshot AI’s Kimi k1.5, a cutting-edge AI software, outshines GPT-4o and Claude 3.5 Sonnet using advanced machine learning and cloud computing. Offering free, unlimited access, this multimodal data analytics tool excels in reasoning and real-time search—try it now at kimi.ai! |
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18-02-2025 |
Moonshot AI Unveils MoBA for Enhanced Long-Context Processing |
Feature |
Moonshot AI has just introduced MoBA (Mixture of Block Attention), a groundbreaking technique that transforms how large language models handle long contexts. By merging the strengths of Mixture of Experts (MoE) with sparse attention mechanisms, MoBA not only boosts efficiency but maintains high performance. Highlights include trainable block sparse attention, a parameter-less gating mechanism for dynamic attention switching, and impressive speed enhancements, now accessible through their GitHub repository. Dive into the future of scalable AI processing at Moonshot AI's latest innovation. |
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04-02-2025 |
KimiK Paper Unveils O1-Level Multimodal Model with Groundbreaking RL Insights |
AI Research and Surveys |
KimiK's latest research paper introduces an O1-level multimodal AI model, pushing the limits of reinforcement learning (RL) techniques. With deeper and more insightful analysis, KimiK is setting new standards in AI development. Discover the revolutionary potential of this advanced model! |
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25-01-2025 |
Kimi 1.5 Launches on Web – Free AI with Real-Time Web Search & Advanced Features |
Company News |
Discover Kimi 1.5 now live on the web at Kimi.ai! This FREE AI tool offers unlimited usage, real-time web search across 100+ websites, advanced CoT reasoning, file analysis (PDFs, Docs, PPTs), and enhanced image understanding. The mobile version is coming soon! |
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