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  1. Andrej Karpathy. 2024 - I started Eureka Labs, a new AI+Education company. 2023 - 2024. Back to OpenAI. Built a small team, improved GPT-4 on ChatGPT. 2017 - 2022. I was the Sr. Director of AI at Tesla, where I led the computer vision team of Tesla Autopilot.

  2. Andrej Karpathy (born 23 October 1986 [2]) is a Slovak-Canadian computer scientist who served as the director of artificial intelligence and Autopilot Vision at Tesla.

  3. A course by Andrej Karpathy on building neural networks, from scratch, in code. We start with the basics of backpropagation and build up to modern deep neural networks, like GPT.

  4. Stable diffusion dreams of psychedelic faces. SuperThanks: optional, all revenue goes to supporting my work in AI + Education.

  5. 1 day ago · Karpathy's new company will create a “teacher+AI symbiosis” where human-written materials will be scaled and guided by an AI assistant.

  6. Together with Fei-Fei, I designed and was the primary instructor for a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017 .

  7. Articles 1–11. ‪Computer Science PhD student, Stanford University‬ - ‪‪Cited by 66,391‬‬ - ‪Machine Learning‬ - ‪Computer Vision‬ - ‪Artificial Intelligence‬.

  8. 10 hours ago · Andrej Karpathy, a prominent artificial intelligence researcher who previously served as the head of AI at Tesla Inc. in between two stints at OpenAI, has announced plans to launch a new “AI ...

  9. 11 hours ago · 1:07. OpenAI founding member Andrej Karpathy, who until February was a key researcher at the startup, is pursuing a new project combining artificial intelligence with education. In a post on X on ...

  10. Jan 20, 2018 · Andrej Karpathy blog. Mar 14, 2022 Deep Neural Nets: 33 years ago and 33 years from now. To my knowledge, LeCun et al. 1989 is the earliest real-world application of a neural net trained end-to-end with backpropagation. Can we improve on it using 33 years of progress in deep learning?

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