Kimi.ai
@Kimi_Moonshot • 361,485 subscribers
Built by Moonshot AI to empower everyone to be superhuman. PR: [email protected] DC: https://t.co/wBsBTn6fmE
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🌘 Meet Kimi K2.7 Code HighSpeed! A high-speed mode of our latest open-source multimodal coding model, Kimi K2.7 Code. ⚡️ Up to 6× faster: Around 180 tok/s on coding tasks with median-length inputs, and up to 260 tok/s on shorter-context tasks. 🔷 Rolling out to Kimi Code Beta Program members, Kimi API developers, and Kimi Business users. (Access will remain limited for now due to capacity constraints.) 🔷 No invite needed. Anyone who joins the Beta Program has a chance to get access 👉 Open intelligence should be instant, affordable, and borderless. We'll continue improving the model and expanding access as more capacity becomes available! 🔗 Kimi Code: 🔗 API:
Kimi.ai571,673 次观看 • 3 个月前
Meet Kimi K2.6 Agent Swarm 👋 Highlights： 🔹 Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from 100 / 1,500 in K2.5). 🔹 Outputs are real files, not chat - one run delivers 100+ files, 100,000-word literature reviews, or 20,000-row datasets. 🔹Heterogeneous skills - search, analysis, coding, long-form writing, and visual generation all running in parallel 🔗Try it at:
Kimi.ai618,541 次观看 • 4 个月前
Meet Kimi K2.6 agent - Video hero section, WebGL shaders, real backends. From one prompt. 🔹 Video hero sections - cinematic aesthetic, auto-composited 🔹 WebGL shader animations - native GLSL / WGSL, liquid metal, caustics, raymarching 🔹 Motion design - GSAP + Framer Motion 🔹 Backend database: Kimi wires up auth + database + backend in one pass. 🔹 Website stack - React 19 + TypeScript + Vite + Tailwind + shadcn/ui 🔹 3D w/ physically-based lighting - Three.js + React Three Fiber
Kimi.ai393,427 次观看 • 4 个月前
Say hi to OK Computer, Kimi's agent mode 🤖🎸 Your AI product & engineering team, all in one. ✨ From chat → multi-page websites, mobile first designs, editable slides ✨ From up to 1 million rows of data → interactive dashboards ✨ Agency: self-scopes, surveys & designs ✨ Natively trained on tools: file system, browser, terminal ✨ More steps, tokens & tools than chat mode, with turbo K2 An agentic model with its own computer, K2 now has true agency.
Kimi.ai303,057 次观看 • 11 个月前
Zhilin at GTC: Introducing Attention Residuals Learning selective memory, rather than mechanically accumulating everything, is the beauty of attention. Many of you have probably read Attention Is All You Need, the 2017 Transformer paper that brought “human-like” attention into the model’s field of view. From that point on, models no longer simply read everything in a mechanical way. Instead, they began to develop a sense of what matters more and what matters less across the text, choosing to retain the more important information. Recently, Kimi applied this idea of attention to the temporal dimension, then rotated it 90 degrees into the model’s depth dimension. This allows the model to have attention not only over time, but also throughout the process of information transmission across layers—giving it a more intelligent way to understand and process information.
Kimi.ai115,162 次观看 • 5 个月前
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