One of the best apps for weight loss in 2026 👉
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THIS IS F**KING INSANE
Claude Code + Obsidian = $100,000 a month
This guy explains in 10 minutes how to build autonomous AI agents step by step.
→ Open Claude Code
→ Connect it to Obsidian
→ Follow the exact setup he shows
→ Build agents that run on their own
Full 10 minute breakdown is in the video.
Bookmark this for later.
Elon Musk is telling you EXACTLY what to invest in. He said "the value of compute per watt will increase over time, not decrease."
If I had $100,000 to invest in an AI portfolio, I would own these 10 stocks:
$IREN - $27.65 now. Microsoft handed them a $9.7B AI cloud contract. Targeting more than $4B of ARR from 2026 capacity.
$AVGO - $337 now. AI chip revenue up 221% to $16.7B last quarter. Guiding $21.7B next.
$NVDA - $220 now. Data center revenue up 117% to $89B last quarter. Guiding $108B next.
$CRDO - $182 now. Revenue up 115% to $479M last quarter. Optics alone expected to top $600M this fiscal year.
$MRVL - $244 now. Record $2.74B quarter. Targeting $70B to $90B in revenue by fiscal 2031.
$NBIS - $176 now. Revenue up 454% to $582M last quarter. Meta deal worth up to $27B.
$VST - $153 now. 20-year nuclear power deals with Meta for 2,609 MW. Up to 1,200 MW more going to AWS.
$NOK - $9.32 now. AI and cloud sales up 105% last quarter. Nvidia invested $1B for a 2.9% stake.
$AMKR - $44.69 now. $1.5B multi-year advanced packaging deal with Nvidia to expand Amkor's Arizona capacity.
$TSM - $431 now. Revenue up 41% to $46.7B last quarter. Guiding $52.3B to $54.3B next.
Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/nuPMvsZWdf
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/689czAygzn
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/s2v3t4UJlR
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/Lq2Am1bYP5
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/UVgFNSBKcY
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/CreVmsXCfE
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/1OZggYsfRT
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/W838PTb63w
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/y2Mlnt5fjD
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/NdA6VYmufZ
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
Follow @rakib_hossen_ai for more ....
Most people learn SEO the hard way.
But smart marketers learn the language of SEO first.
I created a simple SEO Vocabulary Cheat Sheet covering 25+ terms, including:
Bookmark this cheat sheet & type "SEO"
Master the vocabulary. Understand the strategy. Improve your SEO game.
Google Brain founder, Andrew Ng:
"Prompting will be dead in 6 months, graphs are what's replacing it."
In 2 hours at Stanford he shows how to build agents that work and improve entirely on their own.
The first 10 minutes cover what most $500 courses never do. Bookmark this before your feed buries it.
Watch the lecture, then read the guide below on how to build a system that improves itself.
Famous Paintings and Their Artists
1. Mona Lisa - Leonardo da Vinci
2. The Starry Night - Vincent van Gogh
3. The Persistence of Memory - Salvador Dalí
4. The Scream - Edvard Munch
5. The Last Supper - Leonardo da Vinci
6. Girl with a Pearl Earring - Johannes Vermeer
7. The Creation of Adam - Michelangelo
8. Guernica - Pablo Picasso
9. The Night Watch - Rembrandt van Rijn
10. The Birth of Venus - Sandro Botticelli
11. Las Meninas - Diego Velázquez
12. Water Lilies - Claude Monet
13. The School of Athens - Raphael
14. American Gothic - Grant Wood
15. Whistler’s Mother - James McNeill Whistler
16. Campbell’s Soup Cans - Andy Warhol
17. The Kiss - Gustav Klimt
18. The Arnolfini Portrait - Jan van Eyck
19. Impression, Sunrise - Claude Monet
20. The Hay Wain - John Constable
A Google Cloud engineer just showed how to build a full app with Claude from scratch.
He spent 26 minutes live on stage doing what most teams take weeks to do.
Worth more than any $500 vibe-coding course: no team, no setup, just Claude and a goal.
The ones who learn what Claude actually does are shipping what everyone else outsources to a team.
Watch it, then read the guide below on the Claude features 99% of users never find.