Machine Learning Types Are the Wrong Abstraction for Agentic Systems Executive Summary We still classify machine learning systems by how they are trained. Supervised. Unsupervised. Reinforcement learning. That taxonomy made sense when models were static.... Agentic AI 14/12/2025
PART I — Why Most Agents Fail: The Architectural Blind Spots Behind CoT and Tool-Only Models Modern agent demos look impressive until you load them with real work. Real constraints. Real ambiguity. Real environments. That’s when most agents collapse. And the... Agentic AI 12/12/2025
Data Magic: Exploring K-means Clustering Introduction Brief overview of the blog post Hello, fellow engineers! Looking to dive into the magic behind clustering in machine learning? Well, then you've come... Archive 21/02/2022
Neural Networks 101: Dive into the Fundamentals Introduction: Diving into the World of Neural Networks Welcome aboard, folks! We're about to embark on a thrilling journey into the world of neural networks... Archive 03/02/2022
From Good to Great: Regularization as Control, Not Optimization Updated December 2025 to reflect modern agentic and autonomous systems Executive Summary Most machine learning systems don’t fail because they lack intelligence. They fail because... Architecture 17/03/2021
