Instead of watching a 2 hour movie, read this.

🚨 Anthropic just dropped 12 FREE AI courses that make most “AI degrees” look outdated. They quietly dropped these courses that teach you how to actually build with Claude in 2026: • Make real API calls and ship tool-using agents • Build and deploy full RAG pipelines • Connect models to live tools and data with MCP • Spin up production-grade MCP servers with logs scaling • Run Claude inside Amazon Bedrock and Google Vertex AI • Automate dev work from the CLI with Claude Code • Integrate GitHub, workflows, prompt scoring, multi-turn agents This is the stack serious builders are learning while everyone else is still arguing about prompts. If you’re not learning agent workflows and Model Context Protocol this year, you’re already behind.

Anthropic has quietly dropped a massive curriculum of free courses covering the entire AI ecosystem The syllabus is STACKED 🔥 → Claude Code: CLI automation for your workflow → MCP Mastery: building custom tools and resources in Python → API: a complete guide to the Anthropic backend → AI Fluency: frameworks for safe and efficient collaboration → Claude 101: core features for everyday work I added the link to the free @AnthropicAI Academy in the 🧵↓

The Modern #AI Ecosystem by @Python_Dv #ArtificialIntelligence #MachineLearning #ML #MI

🚨 BREAKING: Someone just made 70B parameter models run on a single 4GB GPU. It's called AirLLM. No quantization. No distillation. No pruning. Just raw 70B inference on hardware that costs less than a dinner. You can even run Llama 3.1 405B on 8GB VRAM. Here's how it works: → Decomposes the model layer-by-layer → Loads only one layer into GPU memory at a time → Runs inference, moves to the next layer → Prefetches the next layer while computing the current one → Supports 4-bit and 8-bit compression for 3x speed boost No cloud API. No $10K GPU. Just pip install airllm and go. Here's the wildest part: It supports almost every major model — Llama, Qwen, Mistral, ChatGLM, Baichuan, InternLM — and it auto-detects the model type. One line of code to load. One line to generate. Works on Linux, macOS (Apple Silicon), and even Google Colab free tier. Your old gaming laptop can now run the same models that needed an A100. 100% Open Source. Apache 2.0 License.

A Visual Guide to #MachineLearning #Algorithms by @Python_Dv #ArtificialIntelligence #AI #ML #DL

🚨BREAKING: Someone compiled every AI prompt you'll ever need in one place. You can find prompts for: - Acting as a Linux Terminal, Python Interpreter, SQL Console - Creative Writing, Screenwriting, Debate, Journalism - Career Coaching, Interview Prep, Resume Writing, Mentorship - Hundreds of community-tested prompts for any AI model 100% Open Source and available for everyone.

AIOps vs. MLOps: How are they different? Another -Ops has entered the arena: MLOps. Is it just another buzzword, or does the term hold its own weight? Learn more about it and how it compares to AIOps. buff.ly/xbc0sQ1 v/ @techtargetnews #DataScience #AI #MachineLearning Cc @Ym78200 @HaroldSinnott @jblefevre60 @bzarkout @crimson_crypto @rvp @domingonarvaez1

🚨 BREAKING: Researchers just built an AI that must earn its own salary or go bankrupt. It's called ClawWork. It starts with $10, gets assigned real professional work, and pays for every single token it uses. $10K earned. 7 hours. Zero human input. → AI gets a real task (finance reports, healthcare docs, legal analysis) → It creates full deliverables from scratch → Work gets graded by GPT-5.2 with profession-specific rubrics → Payment = quality × estimated hours × actual BLS wage → Every API call drains its balance No safety net. No unlimited budget. Earn or die. Here's why this changes everything: This isn't a benchmark. It's an economic survival test. 220 tasks. 44 professions. The AI has to make strategic decisions work now for cash, or invest time learning to earn more later. The best models hit $1,500 /hr equivalent. It even works as a live coworker on Telegram, Discord, Slack, and WhatsApp where every message costs real money. 100% Open Source. MIT License.

The simple physics behind how airplanes fly

A son flew in from Saudi Arabia just to meet his Hindu mother in Kerala. Years ago in Saudi, a Hindu aunty from Kerala used to take care of children. Among them was a little boy whom she loved more than her own life. She cared for him like a mother.... with endless affection and warmth. Time passed. The boy grew up, and the aunty eventually returned to India. But the memories of that motherly love never faded from his heart. For months, he searched for her. He gathered information, tracked her down, booked a flight, and finally landed in Kerala. Standing at her doorstep, his heart was pounding… Would she recognize him? Would she remember the love they once shared? The moment she saw him, her eyes filled with tears. She stretched out her arms and cried, “Beta!” He ran into her embrace, just like he did as a child. He wept. She kissed his forehead with the same old affection. In that moment, religion and borders meant nothing.... only the pure love between a mother and her son remained. Yes the people Like does exist..

ChatGPT Vs Gemini Vs Claude Vs Grok Vs Perplexity by @Khulood_Almani #LLM #ArtificialIntelligence #MachineLearning #ML

MCP vs RAG vs AI Agents

5 pillars for #AI use in revenue growth management by @antgrasso #Finance #MachineLearning #ArtificialIntelligence #ML #MI #Tech #Technology

Emerging Trends: Multi and Hybrid Cloud Governance buff.ly/KiiDkA7 @sogetilabs #CloudComputing #AI Cc @NewsNeus @sallyeaves @DeepLearn007 @jblefevre60 @BetaMoroney @RLDI_Lamy @roxananasoi

5 #AI Model Architectures Every AI Engineer Should Know by Arham Islam @Marktechpost Learn more: buff.ly/WQuQB0G #LLM #ArtificialIntelligence #GenerativeAI #ML #MachineLearning

🎤 Mohammed Qahtani, a Saudi engineer, delivered one of the most impactful speeches ever, winning the Toastmasters World Championship. He showcased the strength found in words...

Agentic AI: The Big Picture

Full Stack of RAG