How to become dangerously good at AI without wasting 1000+ hours.
No useless tutorials.
No fake AI gurus.
No information overload.
I spent weeks filtering the internet so you don’t have to.
Here’s the ultimate AI learning stack for:
• LLMs
• AI Agents
• MCP
• Prompt Engineering
• RAG
• AI Engineering
• Vector Databases
🧠 Videos
LLM Introduction
https://t.co/h6ozVonQ6A
LLMs from Scratch
https://t.co/D8FQDODqNU
Agentic AI Overview (Stanford)
https://t.co/JzkZzYDEdO
Building & Evaluating Agents
https://t.co/s0xfg3yZXA
Building Effective Agents
https://t.co/TgZLOTQAS0
Building Agents with MCP
https://t.co/tOEaposX4k
🗂️ Repositories
Microsoft AI Agents for Beginners
https://t.co/mT1G6WkVrE
Prompt Engineering Guide
https://t.co/gV7DhhwOMk
Hands-On LLMs
https://t.co/DXuyVmXNWe
Made With ML
https://t.co/pCk1JOXx1d
LLM Course
https://t.co/J3iXmn4Qha
📚 Guides
Google Agent Whitepaper
https://t.co/y8cyaXNlhu
Building Effective Agents by Anthropic
https://t.co/ZcQnJMfGAV
OpenAI Practical Guide to Agents
https://t.co/y25UBCbcHA
📖 Books
Building LLMs from Scratch
https://t.co/AK5NUtOfLS
The LLM Engineering Handbook
https://t.co/CFl7CftMHz
AI Engineering
https://t.co/vO8AAPCuy9
📄 Papers
ReAct
https://t.co/autyBsoimK
Toolformer
https://t.co/DpEXu9rlTi
Generative Agents
https://t.co/Mqpdfu3tGK
🎓 Courses
HuggingFace Agents Course
https://t.co/R2pmC4Ypiw
MCP with Anthropic
https://t.co/X8PqGfoAdA
Bookmark this.
You’ll need it sooner than you think.
This guy literally broke down the simplest way to make money with YouTube Shorts.
Bookmark this, it might completely change how you see making money in 2026.
Pumping LTX-2.3 motion and consistency for free. No LoRAs, only one small node
Frequency-decoupled guidance for ComfyUI LTX.
> Sharper results;
> Nice movements;
> Boosts detail without oversaturation;
> Maintains diversity at low CFG;
Just plug-and-play. Vibecoded, but works pretty well.
https://t.co/sRE5hRhQoP
1/2 Qwen3.5 is here. The next frontier of Native Multimodal Agents is open. 🚀
We are thrilled to release Qwen3.5-397B-A17B, our flagship open-weight vision-language model. Built for the future of coding, reasoning, and seamless multimodal interaction.
Key Highlights:
Inference Efficiency: A massive 397B total parameters, but only 17B active—delivering flagship power at a fraction of the cost.
Hybrid Architecture: Innovative Gated Delta Networks (Linear Attention) + Sparse MoE for extreme speed.
True Multimodality: Exceptional performance across GUI interaction, video comprehension, and agentic workflows.
Global Scale: Qwen3.5 now supports over 200 languages.
Empowering developers and enterprises to build smarter, faster, and more versatile AI agents.
Bytedance just dropped a new open source image model.
Better than Qwen & Z-image.
It's autoregressive, so it has a much better world understanding like Nanobanana & GPT-Image.
https://t.co/8Vvmp5daQH