Observed Signal · May 19, 2026 · Hiring · Source: techcrunch · Impact: 3/5 · Sentiment: Neutral
Andrej Karpathy Joins Anthropic Pre‑Training Team
Andrej Karpathy, an AI researcher who co-founded OpenAI and formerly led Tesla's AI efforts, is joining Anthropic to work on pretraining for its Claude models. Anthropic said Karpathy starts the week of May 19, 2026, will join its pretraining team and will start a group focused on using Claude to accelerate pretraining research. Karpathy announced the move on X. The hire is part of a broader talent and infrastructure push at Anthropic — recent additions include hires from xAI and a compute-rent deal with SpaceX — as the company intensifies competition with OpenAI. Karpathy previously left Tesla in 2022, briefly returned to OpenAI, founded Eureka Labs, and holds a PhD in computer science from Stanford.
Senior research hire at a leading foundational-model company may influence competitive dynamics among LLM builders and accelerate pre-training R&D that underpins future AI capabilities used across industries, including marketing and AI-driven products.
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Key Takeaways & Evidence Grounding
- Andrej Karpathy is joining Anthropic and will work on pretraining for its Claude models.
- Anthropic said Karpathy starts the week of May 19, 2026 and will start a team using Claude to accelerate pretraining research.
- Karpathy previously co-founded OpenAI, served as Director of AI at Tesla (leading computer vision for Autopilot), left Tesla in 2022, briefly returned to OpenAI, and founded Eureka Labs.
- Karpathy announced the hire in a post on X.
- The hire follows other high-profile moves to Anthropic and comes as the company secures compute capacity deals (including with SpaceX) and competes for AI talent.
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Andrej Karpathy Joins Anthropic to Work on Pre‑training
Andrej Karpathy announced on May 19, 2026 that he has joined Anthropic. Reporting from TechCrunch and Axios states he will work under team lead Nick Joseph on pre-training, focusing on using Anthropic’s Claude models to accelerate pre-training research. The role ties directly to efforts to automate aspects of AI research (often called "autoresearch") and the longer-term concept of recursive self-improvement (RSI), where models progressively improve future training runs. Karpathy is a founding member of OpenAI and a former lead of Tesla Autopilot; in recent months he published work and commentary about agentic automation of research and experimented with autonomous agent pipelines on GitHub.
Anthropic invests $100 million to train AI engineers
Anthropic has launched the Claude Frontier Academy with a $100 million investment to train 10,000 'frontier deployed engineers' (FDEs) by the end of 2027. The program, which includes a multi-day in-person session and a 12-week residency where engineers work on real Claude use cases, aims to bridge the enterprise AI talent gap. The first cohorts include engineers from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley, and Novo Nordisk. Successful participants will earn the Claude Frontier Deployed Engineer badge, with first certifications expected in early 2027. This initiative builds on the Claude Partner Network, which has already certified over 175,000 professionals, and comes amid reports of Anthropic's potential IPO seeking a $2 trillion valuation despite significant operating losses.
Infosys and Anthropic Team Up for AI in Regulated Industries
Infosys announced a strategic collaboration with Anthropic to develop and deliver enterprise AI solutions across telecommunications, financial services, manufacturing, and software development. The partnership launches in telecommunications with a dedicated Anthropic Center of Excellence and will integrate Anthropic’s Claude models (including Claude Code) with Infosys Topaz to build agentic AI agents, automate complex workflows, accelerate software delivery, and modernize legacy systems. The collaborators plan to use tools such as the Claude Agent SDK to create persistent, multi-step AI agents tailored to industry-specific operations while emphasizing governance and transparency for regulated industries. Infosys is already using Claude Code internally within its Exponential Engineering organization to build expertise and inform client implementations.
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