AI researcher and educator
Andrej Karpathy
Andrej Karpathy is an AI researcher and educator, a founding member of OpenAI, and a former director of AI at Tesla working on computer vision.
About Andrej Karpathy
Andrej Karpathy is an AI researcher and educator whose public teaching covers neural networks and large language models. His educational videos include both technical lessons on building models and introductions for a general audience.
He was a founding member and research scientist at OpenAI, led Tesla's AI and computer vision work from 2017 to 2022, and returned to OpenAI in 2023 to work on midtraining and synthetic data. During his PhD at Stanford, he designed and taught the CS231n course on deep learning for visual recognition.
Mentioned in our coverage
95 articles name Andrej Karpathy, excluding author credits.
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- PPT Master: Open-Source Skill That Turns Documents Into Native, Editable PowerPoint →
hugohe3/ppt-master is trending on GitHub: an agent skill that generates PowerPoint decks with native shapes, charts, transitions and narration instead of flattened images. We walk through install, cost, limits and alternatives.
- Linus Torvalds on AI: "I Use It for the Things I'm Bad At" and Why the Kernel Is Different →
At Open Source Summit Europe, Linus Torvalds said he really likes using AI, defended vibe coding for newcomers, and described AI review and bug reports as both improving Linux and stressing maintainers. Here are his words, in context.
- RunningTab: Why File-Reading Agents Drop Facts They Already Saw, and a Fix →
A new paper trending on Hugging Face finds that agents working over a folder of files often open the right document, see the right number, and still leave it out of the final report. RunningTab fixes that by keeping a per-task record in the environment, not in the model. Here is how it works and what to copy.
- Devin Dreaming Memory and the Agent Memory Repo Open Spec, Explained →
Cognition gave Devin persistent memory stored as a git repository of markdown files, plus a daily Dreaming pass that merges and prunes it. The format is an open spec that other agents can use too. Here is how it works, how it compares, and where it can go wrong.
- Agents Don't Need Memory, They Need Documentation →
A viral essay argues that every coding-agent memory plugin is the same RAG pipeline in different clothes, and that agents need a structured Markdown brain instead. We unpack the argument, the open-source Operator Memory plugin built on it, and the strongest objections from a 100-comment Hacker News thread.