Andrej Karpathy

Extracted Attributes

• Born

  1986-10-23

• Awards

  MIT Technology Review Innovators Under 35 (2020), Time 100 Most Influential People in AI (2024)

• Education

  Ph.D. in Computer Science, Stanford University

• Citizenship

  Canada, Slovakia

• Place of Birth

  Bratislava, Slovakia

• YouTube Channel

  badmephisto

• First Eureka Labs Course

  LLM101n: Let's Build A Storyteller

Timeline

• Born in Bratislava, Czechoslovakia. (Source: Wikidata)

  1986-10-23

• Completed Bachelor's degrees in Computer Science and Physics at the University of Toronto. (Source: Wikipedia)

  2009-01-01

• Completed Master's degree at the University of British Columbia. (Source: Wikipedia)

  2011-01-01

• Became a founding member and research scientist at OpenAI. (Source: Wikipedia)

  2015-12-01

• Joined Tesla as Director of Artificial Intelligence, reporting to Elon Musk. (Source: Wikipedia)

  2017-06-01

• Named one of MIT Technology Review's Innovators Under 35. (Source: Wikipedia)

  2020-01-01

• Announced departure from Tesla after a several-month sabbatical. (Source: Wikipedia)

  2022-07-01

• Announced return to OpenAI. (Source: Wikipedia)

  2023-02-09

• Confirmed departure from OpenAI for the second time. (Source: Wikipedia)

  2024-02-13

• Founded Eureka Labs, an AI-native education platform. (Source: Wikipedia)

  2024-07-16

Andrej Karpathy

Andrej Karpathy (born 23 October 1986) is a Slovak-Canadian AI researcher, who co-founded and formerly worked at OpenAI, where he specialized in deep learning and computer vision. He served as the director of artificial intelligence and Autopilot Vision at Tesla. In 2024 he founded Eureka Labs, an AI education platform, whose first course will be LLM101n: Let's Build A Storyteller.

Web Search Results

• Andrej Karpathy - Wikipedia

  Andrej Karpathy (born 23 October 1986) is a Slovak-Canadian AI researcher, who co-founded and formerly worked at OpenAI, where he specialized in deep learning and computer vision. He served as the director of artificial intelligence and Autopilot Vision at Tesla. In 2024 he founded Eureka Labs, an AI education platform, whose first course will be LLM101n: Let's Build A Storyteller. ## Education and early life [edit] [...] ## Education and early life [edit] Karpathy was born in Bratislava, Czechoslovakia (now Slovakia), and moved with his family to Toronto when he was 15. He completed his Computer Science and Physics bachelor's degrees at University of Toronto in 2009 and his master's degree at University of British Columbia in 2011, where he worked on physically simulated figures (for example, a simulated runner or a simulated person in a crowd) with his adviser Michiel van de Panne. In 2006, Karpathy began posting videos on YouTube on his channel, badmephisto. He garnered fame by posting Rubik's cube tutorials which have been used by famous speedcubers such as Feliks Zemdegs. The channel has over 9 million views as of June 2025. [...] Karpathy is a founding member of the artificial intelligence research group OpenAI, where he was a research scientist from 2015 to 2017. In June 2017 he became Tesla's director of artificial intelligence and reported to Elon Musk. He was named one of MIT Technology Review's Innovators Under 35 for 2020. After taking a several-months-long sabbatical from Tesla, he announced he was leaving the company in July 2022. As of February 2023, he makes YouTube videos on how to create artificial neural networks. On February 9, 2023, Karpathy announced he was returning to OpenAI. A year later on February 13, 2024, an OpenAI spokesperson confirmed that Karpathy had left OpenAI. In the same year, he was named one of Time Magazine "Time (magazine)")'s 100 Most Influential People in AI.

• Andrej Karpathy - Tesla - LinkedIn

  - We develop and deploy autonomy at scale. We believe that an approach based on advanced AI for vision and planning, supported by efficient use of inference hardware is the only way to achieve a general solution to full self-driving. Help Revolutionize the World with Full Self-Driving! Andrej Karpathy shared this View Post Activity Image - Our Autopilot team is expanding and we are looking for talented engineers ready to tackle autonomous driving. Interested? Message me. #tesla #autopilot Andrej Karpathy shared this View Post Activity Image [...] Andrej Karpathy liked this View Post Activity Image [...] - Alireza Fathi (Google DeepMind) - - Shon Pulley, Ph.D. (SolTerra Consulting, LLC) -

• Andrej Karpathy - YouTube

  AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications. I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version. Instructor Andrej was a founding member at OpenAI (2015) and then Sr. Director of AI at Tesla (2017-2022), and is now a founder at Eureka Labs, which is building an AI-native school. His goal in this video is to raise knowledge and understanding of the state of the art in AI, and empower people to effectively use the latest and greatest in their work. Find more at [...] we built up: - Discord channel for Eureka Labs and this video: Educational Use Licensing This video is freely available for educational and internal training purposes. Educators, students, schools, universities, nonprofit institutions, businesses, and individual learners may use this content freely for lessons, courses, internal training, and learning activities, provided they do not engage in commercial resale, redistribution, external commercial use, or modify content to misrepresent its intent.

• Andrej Karpathy's 630-line Python script ran 50 experiments ...

  ## What is the Karpathy Loop? The original problem AutoResearch was built to solve is narrow and specific. Karpathy was pretraining small transformer language models and spending significant research time in a manual loop: Modify a hyperparameter or architectural choice in the training script, run the model for a while, read the validation metric, decide whether the change was worth keeping, and repeat. [...] Any metric that requires a committee to interpret, or that optimises a proxy rather than the actual outcome, will be exploited by an autonomous loop with relentless efficiency. Goodhart’s Law applies with particular force when the agent running 100 experiments per night has no off switch. AutoResearch is not minimal because Karpathy ran out of time. It is minimal by design. ## Markdown is the human-agent interface [...] The common thread across every row is a `program.md` equivalent, a human-written document that defines the search strategy, encodes the constraints, and specifies what the agent must not change. The quality of that document is the binding constraint on the quality of the loop. ## The human role shifts to experimental design

• Andrej Karpathy Academic Website - Stanford Computer Science

  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. [...] We present a model that generates natural language descriptions of full images and their regions. For generating sentences about a given image region we describe a Multimodal Recurrent Neural Network architecture. For inferring the latent alignments between segments of sentences and regions of images we describe a model based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through a multimodal embedding. This work was also featured in a recent New York Times article. Andrej Karpathy, Li Fei-Fei CVPR 2015 (Oral) PDF Project Code (Github) Retrieval demo Presentation ImageNet Large Scale Visual Recognition Challenge [...] On a side for fun I blog, blog more, and tweet. I developed a number of Deep Learning libraries in Javascript (e.g. ConvNetJS, RecurrentJS, REINFORCEjs, t-sneJS) because I love the web. I am sometimes jokingly referred to as the reference human for ImageNet (post :)). Whenever I can spare the time I maintain arxiv-sanity.com, which lets you search and sort through almost 100,000 Arxiv papers on Machine Learning over the last 6 years. Timeline. 2017-now: Sr. Director of AI at Tesla (article) Neural Networks for the Autopilot 2016-2017: Research Scientist at OpenAI Deep Learning, Generative Models, Reinforcement Learning Summer 2015: DeepMind Internship Deep Reinforcement Learning group

• Image

  

• Gender

  male

• Educated At

  Stanford University

• Instance Of

  Q5

• Occupation

  computer scientist

• Citizenship

  Canada

• Date Of Birth

  10/23/1986

• Place Of Birth

  Bratislava