Cihan

Exploring the future of finance with Web3, AI, and blockchain technology. Innovator, trader, and tech enthusiast shaping the digital economy. Software Developer

[Elon Musk @elonmusk]

Grok Imagine tutorial made with Grok Imagine.

These is all AI-generated!

[Kimi.ai @Kimi_Moonshot]

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: https://t.co/2Tu8McUaUa

[Qwen @Alibaba_Qwen]

🚀 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: https://t.co/P2Zx7FwMxB
Qwen Studio: https://t.co/c4vm4LuZrU
Github: https://t.co/zKDEbv0R4U
Hugging Face:
https://t.co/N67hyzxvfr
https://t.co/SSdtbWRDap
ModelScope:
https://t.co/xODf1pj9kw
https://t.co/xXhoqlJ2AB

[Matt Dancho (Business Science) @mdancho84]

80% of AI beginners are confused by RAG Agents.

Let's fix that (in under 2 minutes): a thread🧵

[Cihan @NeuralChainHub]

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

[Cihan @NeuralChainHub]

Arada haddini bilmesi iyidir😉.

[Rohan Paul @rohanpaul_ai]

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

[Kimi.ai @Kimi_Moonshot]

You found the secret menu! 🤫

[Cihan @NeuralChainHub]

Arada haddini bilmesi iyidir😉.

[Qwen @Alibaba_Qwen]

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：https://t.co/OUUSzbYZR4
ModelScope：https://t.co/ZqADPAESAe

Enjoy!

[Matt Dancho (Business Science) @mdancho84]

80% of data scientists struggle with finding customer segments.

This is how I do Customer Segmentation with Python and AI. 🧵

[Doğa Öztüzün @unquale]

Standartlarınız ne kadar yüksek olursa telefonunuz o kadar sessiz olur.

[Victor @victor_explore]

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)

[Julien Dubois @juliendubois]

The official Azure MCP Server has just been released at https://t.co/6dEBlKVmLW !!!
And I’m super proud that it includes the code from my own MCP Server https://t.co/9WV0y3m4mY ! 3 weeks after coding in an evening, and it’s now in an official Microsoft product 😀

[Matt Dancho (Business Science) @mdancho84]

🚨NEW: Python library for LLM Prompt Management

This is what it does:

[Tech Fusionist @techyoutbe]

Bash Scripting for Beginners 🔥🔥

[Unwind AI @unwind_ai_]

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.

[Rohan Paul @rohanpaul_ai]

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

[Shubham Saboo @Saboo_Shubham_]

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.

[LangChain @LangChain]

⚡ 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 🔧
https://t.co/yUPFo7qwps