5/19/2026, 1:00:00 PM · foundation-models

Andrej Karpathy joins Anthropic to rebuild pretraining research team

The OpenAI co-founder and former Tesla AI director will work under Nick Joseph on large-scale model training and Claude-assisted research automation.

Andrej Karpathy, a co-founder of OpenAI and the former head of artificial intelligence (AI) for Tesla's Autopilot program, has joined Anthropic, the company announced on May 19, 2026. <cite index="1-7">Karpathy started this week at Anthropic, where he is working on pre-training under team lead Nick Joseph.</cite>

Karpathy disclosed the move himself on the social network X. <cite index="1-4,1-5,1-6,1-7">"Personal update: I've joined Anthropic. 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. I remain deeply passionate about education and plan to resume my work on it in time,"</cite> he wrote, using LLM as shorthand for large language model.

Role and remit

According to Anthropic, Karpathy will sit inside the team responsible for the foundational training stage of its Claude model family. <cite index="1-9,1-10">Pre-training is responsible for the large-scale training runs that give Claude its core knowledge and capabilities, according to the company. It's also one of the most expensive, compute-intensive phases of building a frontier model.</cite>

Beyond contributing to training runs themselves, Karpathy is expected to assemble a sub-team dedicated to using Anthropic's own models as research accelerants. <cite index="6-11">Anthropic said Karpathy starts this week and will be building a team focused on using Claude to accelerate pretraining research, which helps the company's models acquire their core knowledge and capabilities.</cite> In practice, that is expected to involve automating experiment design, generating synthetic training data, and tightening feedback loops during training runs.

Career arc

Karpathy's path has tracked the trajectory of modern AI labs. <cite index="1-13,1-14">While at OpenAI, Karpathy focused on deep learning and computer vision until he departed in 2017 to join Tesla. He led Tesla's Full Self-Driving (FSD) and Autopilot programs before leaving in 2022.</cite> <cite index="1-15">He then went back to OpenAI for one year before leaving again in 2024 to start Eureka Labs, a startup dedicated to applying AI assistants to education.</cite> He holds a doctorate in computer science from Stanford University.

The status of Eureka Labs following the move is unclear. Karpathy indicated in his post that he intends to return to education work in time, but Anthropic will be his primary employer.

Talent consolidation

The hire lands amid a broader concentration of senior research talent at Anthropic. <cite index="6-12">It's the latest high-profile hire for Anthropic, which is poised to surpass OpenAI's private market valuation and is in an intensifying battle for talent with its chief AI rival.</cite> <cite index="6-13">Ross Nordeen, a founding member of xAI and an ex-Tesla employee, announced earlier this month he was joining Anthropic, the same day the company struck a deal with Elon Musk's SpaceX to rent compute capacity at xAI's Colossus 1 data center in Memphis, Tennessee.</cite>

Anthropic also disclosed a parallel security hire on May 19. <cite index="1-18,1-19,1-20">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. He previously worked at Yahoo's well-respected cybersecurity team known as "The Paranoids," and more recently at Meta, where he worked for six years before joining Anthropic.</cite>

The pretraining stage that Karpathy is joining represents the largest single capital expenditure in frontier model development, requiring tens of thousands of graphics processing units (GPUs) operating for weeks or months at a time. By placing a senior researcher with both academic and large-scale production experience at the center of that workflow, Anthropic is signaling that gains from research productivity, rather than from raw compute scaling alone, are central to its competitive strategy against OpenAI and Google DeepMind.

Cross-references

Sources

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