#AI Is Everywhere, But Metrics Are Nowhere
by @aktwits @Forbes Learn more: https://
bit.ly/4szYdCQ #ArtificialIntelligence #MachineLearning #ML
RESEARCH
-

AI Everywhere but Lacks Proper Measurement Metrics
By
–
-

Claude Code Leaked: Open-Source Community Builds Comprehensive 50-Lesson Analysis
By
–
🚨 The speed of the AI open-source community is just wild. Claude Code just leaked, and someone already built a masterpiece 50-lesson deep dive dissecting all 1,902 source files 🤯 You actually get to see: → How the memory system "dreams" → Core sandbox security → All the unreleased roadmap features … and many more hidden gems! Access is just the start. Understanding is the true leverage. 100% open-source. Repo link in 🧵↓
-

Karpathy’s Self-Improving Wiki Framework: Complete Breakdown
By
–
Wow. Insanely fast turnaround from @himanshustwts
! A full breakdown of @karpathy
’s self-improving wiki framework, walking through every stage from ingestion to what comes next -

First Agent Skills Workshop at CAIS 2026 Conference
By
–
We are hosting the first ever Agent Skills Workshop at CAIS 2026. Submit your cool papers and demos. If you don't know what CAIS is. You are missing out. It's gonna be one of the most high signal conference in the bay this year. What's more: @swyx's @aiDotEngineer world fair is partnering with it. Its committee: @gneubig @ChenLingjiao @JeffDean @lateinteraction @MonicaSLam @lmthang @pirroh @ChrisGPotts @NaveenGRao @dawnsongtweets and @istoica05
-
History Repeating Itself: Cyclical Patterns in Technology
By
–
This post is not about them I have been around long enough to see history repeating itself
-
Google Releases Gemma 4 Open Source AI Model Apache 2.0
By
–
Google vient de lâcher Gemma 4 en open source. Et c'est un game changer.
— VISION IA (@vision_ia) 3 avril 2026
Licence Apache 2.0. Téléchargeable maintenant.
Construit à partir de la même recherche que Gemini 3, leur modèle propriétaire le plus puissant. Sauf que celui-là, vous pouvez le faire tourner chez vous.… https://t.co/TApkY3sg7jGoogle just released Gemma 4 in open source. And it's a game changer. Apache 2.0 license. Downloadable now. Built from the same research as Gemini 3, their most powerful proprietary model. Except this one, you can run it at home. No cloud. No subscription. No paying per token.
-
Machine Learning Tracks Methane Emissions From Orbit
By
–
Machine Learning Tracks Methane Emissions From Orbit! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/ML-Methane -
Dead Spiders Transformed into Robotic Grippers by Engineers
By
–
Dead Spiders Reanimated as Necrobotic Grippers by Rice University Engineers
— Ronald van Loon (@Ronald_vanLoon) 3 avril 2026
by @IntEngineering#Innovation #TechForGood #EmergingTech #Technology pic.twitter.com/pKca0ZPo05Dead Spiders Reanimated as Necrobotic Grippers by Rice University Engineers
by @IntEngineering #Innovation #TechForGood #EmergingTech #Technology -

Google Releases Gemma 4 with Apache 2.0 Open Source License
By
–
Google just re-entered the game 🔥🔥 They want to take the crown 👑 back from Chinese open source AI. And… Gemma 4 is FINALLY Apache 2.0 aka real-open-source-licensed. From what I've seen it's going to be a pretty significant model. But give it a try yourself today: brew install llama.cpp –HEAD if you have at least 24GB of RAM or VRAM, run the (very good) 26B MOE: llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF:Q4_K_M if you have 16GB of RAM or VRAM, run the dense E4B: llama-server -hf ggml-org/gemma-4-E4B-it-GGUF:Q8_0
→ View original post on X — @huggingface, 2026-04-03 05:41 UTC
-

Python Machine Learning By Example Third Edition Book Release
By
–
Python Machine Learning By Example: http://
amzn.to/3MczBwk v/ @PacktDataML +
GitHub: https://
github.com/PacktPublishin
g/Python-Machine-Learning-By-Example-Third-Edition
… 518-pages! What you will learn: Machine learning best practices throughout data preparation and model development Build and improve image classifiers using