📺 Trying to read every paper and test every artificial intelligence repository is a recipe for burnout. The author selects ten YouTube channels covering different layers of AI learning.
For research and papers, the list recommends Two Minute Papers and Yannic Kilcher. For building applications, AI Jason, AssemblyAI, and Sentdex teach RAG, agents, APIs, and neural networks from scratch.
For fundamentals, Andrej Karpathy offers step-by-step building sessions, StatQuest explains statistics visually, and DeepLearning.AI provides structured education. To analyze the market, AI Explained evaluates models and news critically, while Matt Wolfe discovers new tools.
🎯 The idea is not to subscribe to everything: choose one channel from each category and see over a month which ones genuinely help you learn or work. Curation is more sustainable than trying to consume every novelty.
💡 Explanation in a nutshell#
These channels act as information filters. Some turn complex papers into explanations, others teach programming, and others analyze products. Choosing complementary sources lets you learn theory, build projects, and understand context without chasing every new release.
More information at the link 👇
