Top AI researcher Andrew Tulloch ditches Meta to work on training and inference at Anthropic

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Published: 2026-09-10T22:23:51.261Z • Permanent link

Andrew Tulloch, a renowned AI researcher, has left his position at Meta to join Anthropic, a company that specializes in training and inference models. Tulloch's departure from Meta comes after a decade-long stint at the tech giant, where he played a crucial role in shaping the company's AI research agenda. Prior to Meta, Tulloch co-founded Thinking Machines Lab, a research organization that focused on developing AI systems for real-world applications.

Tulloch's move to Anthropic is seen as a strategic shift in his career, as the company is rapidly expanding its presence in the AI research landscape. Anthropic has been making significant strides in developing advanced AI models, including the LAIO model, which has been touted as a major breakthrough in the field of natural language processing. Tulloch's expertise in training and inference will undoubtedly be a valuable asset to Anthropic as it continues to push the boundaries of AI research.

Meta, on the other hand, has been facing increased scrutiny over its handling of AI research and development. The company has been criticized for its role in the development of facial recognition technology, which has been used in various high-profile cases to track and monitor individuals. Tulloch's departure from Meta may signal a shift towards more responsible AI development, as the company seeks to distance itself from controversies surrounding its AI research.

Tulloch's departure from Meta has significant implications for the Data Sources domain, where researchers and developers rely on access to high-quality training data to develop and improve AI models. Anthropic's focus on training and inference models means that the company is well-positioned to provide critical infrastructure for the development of AI systems. This could lead to significant advancements in areas such as natural language processing, computer vision, and predictive analytics.

The departure of Tulloch also raises questions about the role of large tech companies in the development of AI research. Meta's dominance in the AI research landscape has been a subject of debate, with some arguing that the company's influence stifles innovation and competition. Tulloch's move to Anthropic may signal a shift towards more decentralized and collaborative approaches to AI research, where smaller companies and research organizations can play a more significant role in driving innovation.

Tulloch's departure from Meta is part of a larger trend in the AI research landscape, where researchers and developers are increasingly seeking to distance themselves from the influence of large tech companies. This shift is driven in part by concerns about the ethics and accountability of AI development, as well as the need for more decentralized and collaborative approaches to research. The rise of open-source AI frameworks and platforms has provided a critical infrastructure for researchers to develop and improve AI models, and Tulloch's move to Anthropic is a prime example of this trend.