AITech365 (@AITech365)
Moonshot AI가 오픈소스 에이전트형 AI 역량 강화를 목표로 Kimi K2.6을 공개했다는 소식이다. 개발자용 에이전트/코딩 보조와 관련된 새로운 모델 출시로 보이며, 오픈소스 기반 AI 도구 및 에이전틱 AI 경쟁에 중요한 업데이트다.
AITech365 (@AITech365)
Moonshot AI가 오픈소스 에이전트형 AI 역량 강화를 목표로 Kimi K2.6을 공개했다는 소식이다. 개발자용 에이전트/코딩 보조와 관련된 새로운 모델 출시로 보이며, 오픈소스 기반 AI 도구 및 에이전틱 AI 경쟁에 중요한 업데이트다.
Компания Moonshot AI, разработчик чат-бота Kimi, оценена в 20 млрд. долларов. https://webno.ru/novosti-i-stati/kompaniya-moonshot-ai-razrabotchik-chat-bota-kimi-oczenena-v-20-mlrd-dollarov/
Kate Park (@kateparknews)
중국의 Moonshot AI가 @Kimi_Moonshot 챗봇을 만드는 스타트업으로, 20억 달러 자금 조달 후 기업가치 200억 달러를 달성했다는 소식이다. 2025년 말 43억 달러에서 2026년 초 100억 달러로 급등한 데 이어 다시 크게 상승했으며, Meituan VC 계열과 Long-Z Investment가 라운드를 주도했다.

China’s Moonshot AI, the startup behind @Kimi_Moonshot chatbot, just hit a $20B valuation after raising $2B ➡️End of 2025: valued at $4.3B ➡️Early 2026: doubled to $10B on a $700M raise ➡️May 2026: $20B The round was led by @meituan ’s VC arm, Long-Z Investment, and brings
Times of India | Anthropic complained to the US government about CEO of the Chinese company who took stage at Nvidia's annual conference; and now US State Department has ordered ...
AI generated summary, Read the full article for complete information.
Anthropic has lodged a formal complaint with the U.S. government, alleging that three Chinese AI firms—DeepSeek, Moonshot AI and MiniMax—used hundreds of fraudulent accounts to run industrial‑scale “distillation” campaigns that harvested the capabilities of Anthropic’s Claude chatbot for their own models. The complaint details over 16 million interactions, including more than 3.4 million exchanges by Moonshot AI, targeting agentic reasoning, coding, computer‑vision and tool‑use tasks. In response, a U.S. State Department cable has warned allied diplomats about the security risks of AI models derived from unauthorized extraction of U.S. proprietary technology, noting that such models can appear competitive on benchmarks while lacking full performance and security safeguards. The cable also highlights Moonshot AI’s CEO Zhilin Yang—who spoke at Nvidia’s GTC 2026—as a key figure in the alleged operations.

Tech News News: US State Department has ordered a global push to bring attention to what it says are widespread efforts by Chinese companies, including AI startup De.
Moonshot AI Mulls China Reincorporation After Meta-Manus Takeover Block
#AI #MoonshotAI #DeepRouteAI #AIStartups #ChinaAI #AIInvestment
Moonshot AI Releases Kimi K2.6: Open Source MoE Model Built for Coding Agents
Moonshot AI releases Kimi K2.6, an open source MoE model with one trillion parameters, optimized for extended autonomous coding sessions and coordinating hundreds of agents in parallel.https://yoota.it/en/moonshot-ai-releases-kimi-k2-6-open-source-moe-model-built-for-coding-agents/
Moonshot AI aggiorna Kimi K2.6: open source, MoE, orientato al coding agentivo
Moonshot AI rilascia Kimi K2.6, modello open source con architettura MoE da mille miliardi di parametri, ottimizzato per sessioni di coding autonomo prolungate e coordinamento di centinaia di agenti in parallelo.https://yoota.it/moonshot-ai-aggiorna-kimi-k2-6-open-source-moe-orientato-al-coding-agentivo/
أطلقت شركة Moonshot AI نموذجها الرائد Kimi K2.6، الذي يقدم ميزات ترميز متقدمة ونظام وكلاء تعاوني متطور. يتميز بقدرات ترميز قوية بلغات مثل Rust و Go و Python، ويحول النصوص لواجهات أمامية تفاعلية، ويدعم تطويرًا كاملاً بسيطًا. كما يتيح نظام "Agent Swarm" تنسيق وكلاء متخصصين للبحث وتحليل المستندات وتوليد محتوى متعدد التنسيقات. النموذج متاح الآن عبر Kimi.com وتطبيق Kimi وواجهة برمجة التطبيقات و Kimi Code.
Moonshot AI veröffentlicht das Open-Weights-Modell Kimi K2.6, das im Intelligence Index Platz vier belegt. Die Mixture-of-Experts-Architektur mit einer Billion Parameter und 256.000 Token Kontext erlaubt autonomes Long-Horizon Coding über 13 Stunden. Bis zu 300 Sub-Agenten arbeiten parallel.
#KimiK26 #MoonshotAI #OpenWeights #LLM #News
https://www.all-ai.de/news/news26top/kimi-2-6-openweight-test
🚀 #MoonshotAI releases #KimiK26 — #opensource 1T-param MoE model, 32B active params, 262K context & native multimodal (image + video) input
🧠 +15% over K2.5 on benchmarks: better long-horizon coding stability, deeper reasoning & stronger instruction following #AI #LLM
🤖 #AgentSwarm now scales to 300 parallel sub-agents coordinating 4,000 steps simultaneously — up from 100 agents in K2.5
🧵 👇