Grok Imagine tutorial made with Grok Imagine. These is all AI-generated!

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.com/agent-swarm?chat_en…

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇 What's new: 🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks 💡 Strong reasoning across text & multimodal tasks 🔄 Supports thinking & non-thinking modes ✅ Apache 2.0 — fully open, fully yours Smaller model. Bigger results. Community's favorite. ❤️ We can't wait to see what you build with Qwen3.6-27B! 👀 🔗👇 Blog: qwen.ai/blog?id=qwen3.6-27b Qwen Studio: chat.qwen.ai/?models=qwen3.6… Github: github.com/QwenLM/Qwen3.6 Hugging Face: huggingface.co/Qwen/Qwen3.6-… huggingface.co/Qwen/Qwen3.6-… ModelScope: modelscope.cn/models/Qwen/Qw… modelscope.cn/models/Qwen/Qw…

80% of AI beginners are confused by RAG Agents. Let's fix that (in under 2 minutes): a thread🧵

Bir çok yapay zekayı test ettim en iyisi #claude @AnthropicAI Neden? Çünkü insana en yakın o! Ancak #Chatgbt @OpenAI ise çok zeki!

Arada haddini bilmesi iyidir😉.

Terence Tao just released a new video on his YT channel "Formalizing (Math) proof in Lean using Claude Code" AI is making a massive leap into the highest levels of professional mathematics --- youtube. com/watch?v=JHEO7cplfk8

You found the secret menu! 🤫

We’re releasing the quantized models of Qwen2.5-Omni-7B today! Find all models in the Qwen2.5-Omni collection on Hugging Face and ModelSope. Hugging Face：huggingface.co/collections/Q… ModelScope：modelscope.cn/collections/Qw… Enjoy!

80% of data scientists struggle with finding customer segments. This is how I do Customer Segmentation with Python and AI. 🧵

Standartlarınız ne kadar yüksek olursa telefonunuz o kadar sessiz olur.

Run your entire AI workflow locally for free with n8n Docker MCP (Model Context Protocol): - Run LLMs and AI agents locally - Create RAG workflows with vector databases - Automate with visual workflow builder - Connect agents to real APIs/tools - Full privacy with containerized setup A powerful open-source stack for AI automation without cloud dependencies (link in bio)

The official Azure MCP Server has just been released at github.com/Azure/azure-mcp !!! And I’m super proud that it includes the code from my own MCP Server github.com/jdubois/azure-cli… ! 3 weeks after coding in an evening, and it’s now in an official Microsoft product 😀

🚨NEW: Python library for LLM Prompt Management This is what it does:

Bash Scripting for Beginners 🔥🔥

MCP Run Python server lets AI Agents execute Python code in a secure sandboxed environment. Uses Pyodide to run code, detects and installs dependencies, and captures all outputs - perfect for agent-driven data analysis. Works with Pydantic AI and MCP clients.

Github 👨‍🔧: The fast, Pythonic way to build Model Context Protocol servers 🚀 A library designed for rapidly building Model Context Protocol (MCP) servers using a Pythonic approach. It allowed defining tools, resources, and prompts via decorators, simplifying interaction with LLMs. Note: FastMCP is deprecated as its functionality has been merged into the official MCP Python SDK, and this repository is unmaintained. 👨‍🔧 Github: github. com/jlowin/fastmcp

Build AI agents with MCP without writing a single line of code. Connect AI agents to 100s of external tools via MCP and execute them directly from n8n. 100% free and opensource.

⚡ FastAPI LangGraph Agent Template Production-ready template for building secure AI agents with FastAPI and LangGraph. Features Docker support, monitoring tools, and multi-LLM compatibility through LangChain's ecosystem. Start building production agents 🔧 github.com/wassim249/fastapi…