Meta’s setback benefits Thinking Machines significantly.

Weiyao Wang Joins Thinking Machines Lab After Eight Years at Meta

Weiyao Wang has transitioned from Meta, where he spent eight years building multimodal perception systems and working on projects like SAM3D, to become part of the team at Thinking Machines Lab (TML). His departure marks the end of an era at Meta for Wang, who officially left the company last week.

TML’s Expansion and Recent Developments

Wang’s move comes at a significant time for TML, an AI startup that is rapidly expanding its operations. Recently, TML secured a multibillion-dollar cloud partnership with Google, granting them access to Nvidia’s cutting-edge GB300 chips. This positions TML among the first startups to leverage this advanced hardware, enabling them to compete at a high level in the AI landscape.

This agreement was revealed during the Google Cloud Next event, highlighting TML’s growing influence. The collaboration not only taps into Nvidia’s technological advancements but also solidifies TML’s standing alongside industry heavyweights like Anthropic and Meta. Interestingly, Meta had previously entertained the idea of acquiring Thinking Machines, and has been selectively hiring TML’s founders in recent months.

A Competitive Talent Landscape

The talent landscape in the AI sector remains highly dynamic. Weiyao Wang’s arrival at TML coincides with that of Kenneth Li, a Harvard PhD who spent ten months at Meta before making the switch to TML this month. This movement exemplifies a broader trend where the two companies are actively recruiting each other’s talent. Reports indicate that Meta has recently lured away seven founding members of TML, while data from LinkedIn suggests that TML is countering by hiring more researchers from Meta than from any other company.

Key Talent Transfers to TML

Some of the most notable additions to TML’s roster include:

• Soumith Chintala, TML’s CTO, who spent 11 years at Meta and co-founded the influential open-source deep learning framework PyTorch. He joined TML as CTO earlier this year.

• Piotr Dollár, another seasoned veteran from Meta who served as research director and co-authored the well-known Segment Anything model.

• Andrea Madotto, a former research scientist at Meta’s FAIR division, who joined TML in December and specialized in multimodal language models.

• James Sun, a software engineer with nearly nine years at Meta focused on large language models (LLMs), also made the transition to TML.

In addition to these notable former Meta employees, TML has attracted talent from other prestigious organizations. Neal Wu, a three-time gold medalist at the International Olympiad in Informatics and a founding member of the well-regarded startup Cognition, joined TML this year. Other new recruits include Jeffrey Tao from Waymo, Muhammad Maaz from Anthropic, Erik Wijmans from Apple, and Liliang Ren, who worked on the AI Superintelligence project at Microsoft before joining TML.

Growing Workforce at Thinking Machines Lab

Thinking Machines Lab is rapidly scaling its team, with a current headcount of approximately 140 employees. As TML diversifies its talent pool, the company is likely to maintain its trajectory of growth and innovation.

The Financial Landscape

Compensation packages in tech, particularly at Meta, are notoriously attractive, often reaching seven figures. As researchers weigh their employment options, TML’s current valuation of $12 billion becomes a key consideration. While this figure may seem astonishing for a company at this stage—having released only one product to date—it signifies substantial financial potential when compared to the soaring valuations of established players like OpenAI and Anthropic.

A spokesperson for TML, when contacted for this article, declined to provide further comments.

Conclusion

Weiyao Wang’s transition to Thinking Machines Lab symbolizes a significant shift in the competitive dynamics of the AI sector. With TML’s recent achievements, including the lucrative Google cloud deal and a growing roster of top-tier talent, the startup is well positioned to make waves in the industry. As the landscape evolves, it will be fascinating to see how TML leverages its new capabilities and talent to redefine the future of AI technology.

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Emmanuel Kesse

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