Founding OpenAI member, former Tesla Autopilot lead, now pretraining research at Anthropic
Teaches deep learning from first principles — his neural-network and LLM lecture series are among the clearest technical explanations available anywhere. Coined "vibe coding" in 2025.
Published elsewhere, not by me — so you get real context beyond the name and the title.
Andrej Karpathy — AGI is still a decade away
A builder's case for why the timelines you read in headlines are too short.
What they've said in public about careers, hiring and work. Each point links to its source.
Said children should spend about 80% of their study time on math, physics, and computer science, because those subjects build a "thinking skill core" — not because the content matters, but because they teach you to reason through hard problems. Everything else can be added later.
No Priors podcast (via report), July 2026Deep, from-scratch explanations of neural networks and large language models.
Why I recommend it: Start here if you want to actually understand AI rather than just use it.
Hand-picked from the hub based on what Andrej Karpathy covers.
This YouTube channel offers simple video breakdowns of artificial intelligence and machine learning research papers. You can watch these quick guides to stay informed about new AI developments and understand how the technology is evolving.
Why this: Covers AI and ai too
Five-course series on neural networks, convolutional and sequence models, and how to structure ML projects.
Why this: Covers AI and deep learning too
Personal site of Andrew Ng, co-founder of Coursera and DeepLearning.AI and a founding lead of Google Brain, collecting his courses, writing and current projects.
Why this: Covers AI and deep learning too
This YouTube channel features long-form interviews with artificial intelligence researchers, scientists, and company founders. You can watch these discussions to learn about emerging technology, ethical issues, and scientific developments.
Why this: Covers AI and ai too
