My takeaway: the next wave of AI value will come from systems that can do disciplined work, not just fluent work. That is why self-running research is such an important signal. Watch the video to see how this works in practice, then tell me what you think . Are we looking at
MACHINE LEARNING
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Breakthrough in AI: Multiple Specialized Agents Over Bigger Models
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The breakthrough is not one bigger model. It is multiple agents with clear roles: → one designs the research steps
→ one uses real tools and databases
→ one checks the work to catch errors
→ one writes conclusions, but only when evidence supports them In other words, less -
Synthetic Data in AI: Exploring Pros and Cons
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3 Questions: The pros and cons of synthetic data in #AI buff.ly/IrYmwMj @MIT Cc @kalydeoo @sallyeaves @ahier @rvp @gvalan
→ View original post on X — @sallyeaves, 2026-04-03 08:31 UTC
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Gemma 4 E4B: On-Device AI Revolution Without Cloud Dependency
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To explain why I consider Gemma 4 a bigger release than most people realize. This is a big deal because models like Gemma 4 E4B can run directly on devices, bringing powerful AI (even a 2B model ~60% on MMLU Pro) to phones, laptops, and edge systems without relying on the cloud,
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AI Everywhere but Lacks Proper Measurement Metrics
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#AI Is Everywhere, But Metrics Are Nowhere
by @aktwits @Forbes Learn more: https://
bit.ly/4szYdCQ #ArtificialIntelligence #MachineLearning #ML -
Claude Code Leaked: Open-Source Community Builds Comprehensive 50-Lesson Analysis
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🚨 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 🧵↓
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AI Changes Data Requirements for Programmers
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Because I both work with data and talk to many others who do. AI doesn’t need structured data. Programmers needed structured data to make it possible to write programs. AI changed the rules
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Machine Learning Tracks Methane Emissions From Orbit
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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 -
Google Releases Gemma 4 with Apache 2.0 Open Source License
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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
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Python Machine Learning By Example Third Edition Book Release
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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