Weiyao Wang, who dedicated eight years to Meta, has transitioned to Thinking Machines Lab (TML) after contributing significantly to multimodal perception systems and open-world segmentation projects, including SAM3D. His departure marks a pivotal moment for TML, which is currently experiencing rapid expansion.
TML recently secured a multibillion-dollar cloud partnership with Google, granting the startup access to Nvidia's cutting-edge GB300 chips. This positions TML among the first startups to leverage this advanced hardware, enhancing its operational capabilities.
Announced during the Google Cloud Next event, this partnership follows TML's earlier collaboration with Nvidia, elevating it to the same infrastructure tier as renowned companies like Anthropic and Meta. Interestingly, Meta has been reportedly acquiring TML's founders, showcasing a competitive talent landscape.
The talent dynamics are shifting, with Wang and Kenneth Li, a Harvard PhD who recently joined TML, exemplifying the ongoing talent exchange between the two organizations. Reports indicate that Meta has attracted several founding members from TML, while TML has reciprocated by hiring more researchers from Meta than any other entity.
Notable hires include Soumith Chintala, TML's CTO and co-founder of PyTorch, who left Meta after 11 years. Other significant additions are Piotr Dollár, who co-authored the influential Segment Anything model, and Andrea Madotto, a research scientist specializing in multimodal language models.
Beyond Meta, TML has also welcomed talents like Neal Wu, a three-time gold medalist at the International Olympiad in Informatics, and Jeffrey Tao, who has experience with Waymo and OpenAI. The startup's workforce has now grown to approximately 140.
Despite Meta's well-known lucrative compensation packages, the allure of TML remains strong. Currently valued at $12 billion, TML is seen as a promising venture with substantial growth potential, especially when compared to the valuations of industry giants like OpenAI and Anthropic.
As TML continues to attract top talent and forge strategic partnerships, its innovative trajectory may significantly influence the future of AI development, paving the way for groundbreaking advancements in technology.
