Muon - The optimizer that's reshaping how AI learns

Adam has dominated neural network training for years - but it has limitations few people talk about, until Muon came along. This video walks through the full picture: from intuition to math, from theory to real deployment at trillion-parameter scale, to answer one question — what does Muon actually change about how we optimize models? In this video: 00:00 Hook - The limits of Adam you probably never noticed 01:13 Where Muon came from and its rapid rise 03:31 The intuition behind the "gradient shove" 06:15 The core math, illustrated with a 2×2 matrix 09:56 Scaling challenges at trillion-parameter scale 12:19 4 real bottlenecks when deploying at scale 15:28 The fixes and Muon's development roadmap 20:37 Real-world performance: where Muon is actually used 23:08 The design limitations that don't go away 26:10 Wrap-up and what's next Watch list:    • Gradient descent explained: The math behin...   📌 Subscribe for more deep-dive explainers on AI/ML. 💬 Drop your questions or thoughts on Muon in the comments. Algorithms, computer science, and AI - explained visually, without the fluff. New videos every week. A null pointer points to nothing. This channel points to everything worth understanding about how code actually works. Nullpoint breaks down algorithms, data structures, computer science, and AI into clear, visual explanations you'll actually remember. From sorting and Big-O to neural networks and the ideas behind modern AI - we skip the buzzwords and get to how things really work under the hood. #Muon #DeepLearning #MachineLearning #AdamOptimizer #Nullpoint