Andrej Karpathy joins Anthropic for frontier LLM research
The AI legend returns to R&D at Anthropic, calling the next years 'formative'.
Andrej Karpathy, the renowned AI researcher and educator known for leading OpenAI's early vision and Tesla's Autopilot AI, announced on May 19, 2026 that he is joining Anthropic. In a personal update that garnered 1.3M views on X (formerly Twitter), Karpathy stated: "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 also emphasized that he remains deeply passionate about education and plans to resume that work in time, suggesting he may continue his popular teaching series like "Zero to Hero" and "Intro to Large Language Models" alongside his new role. The move reunites Karpathy with former colleagues such as Jack Clark, who co-founded Anthropic, and has drawn excitement from figures like Sholto Douglas and Nathan Lambert.
Industry reactions highlight the significance of this hire. Emad Mostaque noted that as companies approach AGI, it's logical for top talent to concentrate at frontier labs. Julien Chaumond of Hugging Face joked "Time for some open source!!" — referencing Karpathy's advocacy for AI education and open science. However, Lambert also expressed that this represents "lonely times in open science," implying that Karpathy's move to a leading closed-source lab (Anthropic's Claude models) may shift the balance of open vs. proprietary research. Karpathy's decision underscores Anthropic's ambition to lead in frontier AI, especially after the success of Claude 4, and positions the lab to potentially accelerate work on reasoning, safety, and multimodal capabilities.
- Andrej Karpathy joins Anthropic after previous roles at OpenAI and Tesla.
- He plans to focus on frontier LLM research, calling the next few years 'especially formative'.
- Karpathy will continue his education work later, balancing R&D with his popular AI teaching content.
Why It Matters
Karpathy's move strengthens Anthropic's already elite research team, accelerating the race toward AGI while raising questions about open science.