AI researcher Andrej Karpathy, known for his work at Tesla and OpenAI, has joined Anthropic. This move has added another milestone to a career that has influenced AI development, autonomous driving, and machine learning education worldwide. Since leaving Tesla in 2022, Karpathy has become one of AI's most influential public educators, building a massive following through technical explainers and educational content on YouTube and X.
Andrej Karpathy, the AI researcher who co-founded and formerly worked at OpenAI and previously led AI at Tesla, will focus more on LLM advancements at Anthropic.
“I’ve joined Anthropic,” Karpathy posted on X Tuesday (May 19, 2026). “I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D,” he added.
Karpathy started this week at Anthropic, where he is working on pre-training under team lead Nick Joseph. Pre-training is responsible for the large-scale training runs that give Claude its core knowledge and capabilities. It’s also one of the most expensive, compute-intensive phases of building a frontier model.
Few people have shaped modern artificial intelligence across as many dimensions as Andrej Karpathy, as a researcher, engineer, and teacher.
| Career Phase / Area | Key Contribution | Impact on AI & Technology |
|---|---|---|
| Image Captioning Research | During his PhD at Stanford University, Andrej Karpathy worked on combining computer vision with natural language processing to help AI systems generate human-like image descriptions. His “Deep Visual-Semantic Alignments” research became a breakthrough in image captioning. | Helped lay the foundation for multimodal AI systems that understand both images and text, influencing modern AI tools used in search, accessibility, and generative AI. |
| Understanding Neural Networks | Karpathy focused on visualising and interpreting recurrent neural networks and LSTMs, helping researchers better understand how AI systems process sequences and remember information. | Improved transparency in deep learning research and advanced the development of NLP systems and large language models (LLMs). |
| Generative AI Development | He contributed to early generative AI projects such as PixelCNN++, which improved image generation quality and training stability. | Influenced the evolution of modern image synthesis and generative AI technologies used in creative AI tools today. |
| Building OpenAI | Karpathy joined OpenAI in 2015 as one of its founding members, helping shape early research around deep learning and neural network scaling. | Contributed to the research ecosystem that later enabled the development of advanced GPT models and large-scale AI systems. |
| Leading Tesla Autopilot AI | In 2017, he became Director of AI and Autopilot Vision at Tesla, leading neural network development for autonomous driving systems. | Advanced end-to-end deep learning for self-driving technology using large-scale real-world driving data. |
| Teaching Deep Learning | Karpathy’s Stanford course CS231n and later online tutorials simplified deep learning, transformers, and LLM concepts for students and developers worldwide. | Became one of the most influential AI educators, helping democratise AI learning for programmers and researchers. |
| Launching Eureka Labs | In 2024, Karpathy launched Eureka Labs, an AI-first education platform focused on combining human teaching with AI-powered learning. | Expanded practical AI education and made advanced neural network and LLM concepts more accessible to learners globally. |
Over the past decade, he has been at the forefront of some of the field's most important inflexion points, and his fingerprints are on everything from self-driving cars to the tutorials that taught thousands of engineers how transformers actually work.
Karpathy is one of the few researchers who can bridge the gap between LLM theory and large-scale training practice. Tapping him to build such a team is a clear sign from Anthropic that it believes AI-assisted research, rather than pure compute, is how it stays competitive with OpenAI and Google.
Anthropic has also brought on Chris Rohlf to its frontier red team, which stress-tests advanced AI models against severe threats. Rohlf is a veteran of the cybersecurity industry with more than 20 years of experience.