Andrej Karpathy
Slovakian-Canadian AI researcher (born 1986)
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Videos Mentioning Andrej Karpathy
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Lex Fridman
Mentioned as the creator of the JavaScript implementation of neural networks used in the Deep Traffic project.
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Lex Fridman
Programmed Comet.JS, was at Stanford, and is now at OpenAI. Mentioned for his work on general purpose intelligence breakthroughs like the Pong AI.
⚡️Launching AI Diplomacy: the hardest LLM Game Benchmark yet - Alex Duffy
Latent Space
Responded to Alex Duffy's AI Diplomacy project, encouraging its development.
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
Lex Fridman
Former director of AI at Tesla and OpenAI, and a prominent educator in artificial intelligence.
Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI | Lex Fridman Podcast #61
Lex Fridman
A researcher at Tesla who focuses on building actual AI systems that operate in the real world, rather than just philosophical discussions.
What Everyone Is Getting Wrong About AI And Jobs
Y Combinator
Co-founder of OpenAI who believes AI will first transform rote jobs but that many roles will be refactored into supervisor positions.
GPT-4.5 = Big Model Energy | YC Decoded
Y Combinator
Mentioned as a confirmed speaker at the YC AI Startup School.
How Amplitude Went From Skeptics to “All In” on AI
Y Combinator
His views on AI businesses overshooting the mark and the importance of editing/redoing workflows are cited.
Moonlake: Multimodal, Interactive, and Efficient World Models — with Fan-yun Sun and Chris Manning
Latent Space
Mentioned as a PhD student at the same time as Richard Duong, involved in joint language-vision work.
SpaceX IPO, Iran War Fallout, Quantum Bitcoin Hack, The Space Opportunity
All-In Podcast
Announced as a speaker for the All-In liquidity event.
Stanford AA228V I Validation of Safety Critical Systems I Explainability
Stanford Online
Mentioned as the source of a practical tip on interpreting models by looking at worst-case performing samples.
Everything You Know is About to Collapse - David Friedberg
Chris Williamson
A prominent AI researcher who demonstrated 'auto research' where AI agents running on a home computer could collectively improve an LLM model, illustrating rapid AI diffusion.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization
Stanford Online
Creator of a highly recommended video on tokenization.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUs
Stanford Online
Mentioned for his Nanogpt speedrun where padding to a specific vocabulary size led to a 25% speedup.
How to Make Claude Code Your AI Engineering Team
Y Combinator
Andrej Karpathy was mentioned as someone who noted that they were no longer manually writing code.
🔬Top Black Holes Physicist: GPT5 can do Vibe Physics, here's what I found
Latent Space
Mentioned by the co-host as someone who had a similar realization about AI's capabilities as Alex Lubyansky.