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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 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

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, Tencent Cloud officially launched the API service for the Tencent Hunyuan A13B model on its official website. The input price is set at 0.5 yuan per million Tokens, and the output price is 2 yuan per million Tokens, which has quickly sparked enthusiastic discussions in the developer community. As the first 13B-level MoE (Mixture of Experts) open-source hybrid inference model in the industry, Hunyuan-A13B features a total of 80B parameters and only 13B activated parameters, achieving performance comparable to leading open-source models of the same architecture, while also demonstrating efficient reasoning capabilities.

KeLing AI launched KeTu 2.1, enhancing instruction understanding, portrait beautification, cinematic effects, and 180+ style responses. It also improves text generation. Free for all members for 7 days, supporting text-to-image, single/multi-image reference.....

vivo launches BlueLM-2.5-3B, a 2.9B parameter multimodal model excelling in GUI understanding, text processing, and logical reasoning. It features dual thinking modes and efficient training for cost-effective deployment.....

Apple's AI head Ruoming Pang joins Meta's AI lab with a $200M+ package, surpassing Tim Cook's pay. Apple didn't counter, restructuring its team instead. This high-profile move may trigger departures, highlighting Meta's aggressive AI talent strategy.....

At the 2025 World Artificial Intelligence Conference, it was revealed that Shanghai has filed 82 large models and is actively promoting AI demonstration applications in key industries such as manufacturing and finance. Xuhui Moshu Space and Pudong Moli Community have become industrial carriers, gathering 500 and 200 AI companies respectively. Shanghai has established a full-cycle financing support system from the early stages to the mature stage through national and municipal artificial intelligence funds, with a focus on key areas such as computing power and language data.