Andrej Karpathy

Person. Researcher-educator and one of the field's great explainers. Founding member of OpenAI, former Director of AI at Tesla (Autopilot vision), creator of the CS231n Stanford course, and author of the "Zero to Hero" / nanoGPT / build-it-from-scratch lineage — including the GPT tokenizer deep-dive in this corpus. More recently building Eureka Labs (AI-native education) and releasing tools like autoresearch.

Coined/popularized "vibe coding" and the "LLM wiki" pattern — the latter is literally the architecture of this knowledge base. His style: strip the field to first principles, implement it in a few hundred readable lines, teach it.

entities · 12 notes linked

Related: Anthropic · Deep Learning · AI Agents · Large Language Models · Neural Networks · Openai · Zvi Mowshowitz · Claude

Notes

• AI #174: You're It — Weekly AI roundup, Claude Tag, medical scanners, agent security
• American Government Takes Down Claude Fable — Commerce export controls abruptly shut down Fable
• Cheatsheet — Comprehensive reference index of Torch7 packages, tutorials, and GPU setup
• Cheatsheet — Torch7 Lua deep learning framework comprehensive reference guide
• Claude Fable 5 and Mythos 5: Capabilities — Fable 5 capability review, benchmarks, classifiers, reception
• ConvNetJS — JavaScript library for training neural networks in the browser
• Here are the top 10 generative-AI startups founded by ex-Googlers that are taking on ChatGPT — 2023 roundup of ex-Google generative-AI startups
• LLMs-local — awesome platforms, tools, and resources for running LLMs locally — Awesome list for running LLMs locally
• Let's Build the GPT Tokenizer — A Complete Guide to Tokenization in LLMs — Karpathy tokenizer video as book chapter
• Silicon Valley bets big on 'environments' to train AI agents | TechCrunch — RL environments emerge as critical training infrastructure for capable AI agents
• Swift: Google's bet on differentiable programming — Google's Swift for TensorFlow project integrating native differentiable programming
• Transformer Explainer: LLM Transformer Model Visually Explained — Interactive visual walkthrough of Transformer/GPT-2 architecture