15 AI YouTube channels you should subscribe IN 2026:
1. AndrejKarpathy
The closest thing to getting a CS231n brain upload. Neural nets, LLMs, tokenizers, backprop, GPT from scratch.
2. 3blue1brown
Grant Sanderson makes the math behind AI actually click. Linear algebra, neural networks, attention, gradients visualized better than 99% of courses.
3. TwoMinutePapers
Best channel for AI research breakthroughs without reading 40-page papers. Fast, fun, and somehow makes insane papers feel obvious.
4. Aiexplained
LLM news model breakdowns with actual depth. Great for understanding OpenAI, Anthropic, Google DeepMind, benchmarks, and what really changed.
5. YannicKilcher
Deep paper breakdowns for people who want the real technical meat.
6. DeepLearningAI
Andrew Ngโs AI education hub. Practical courses, ML fundamentals, agents, GenAI, and industry use cases.
7. Statquest
Josh Starmer explains ML concepts like youโre smart but tired. Regression, trees, PCA, neural nets, stats all painfully clear.
8. AssemblyAI
Strong practical AI engineering content. LLM apps, speech AI, agents, tutorials, and API-based builds.
9. Matthew Berman
Covers new AI tools, open-source models, local LLMs, agents, and product demos before they hit mainstream LinkedIn.
10. Nicholas Renotte
Hands-on ML/AI builds. Computer vision, LLM apps, agents, Python workflows, real projects.
11. Sentdex
Old-school practical Python ML channel. Reinforcement learning, neural nets, automation, and coding-first AI education.
12. Krish Naik
Great for applied ML, data science, GenAI, RAG, LangChain, and interview-focused learning.
13. Aladdin Persson
PyTorch tutorials that actually teach you how models work under the hood. CNNs, transformers, GANs, object detection.
14. Serrano Academy
Clean math ML explanations from Luis Serrano. Probability, optimization, neural nets, and intuition-heavy AI concepts.
15. Lex Fridman
Long-form conversations with AI researchers, founders, and scientists. Best for context, history, and big-picture AGI thinking.