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Thinking Machines Exodus Intensifies: Key Figures Join OpenAI Amid Internal Disputes

Thinking Machines OpenAI Fidji Simo Barret Zoph Meta Startup Exodus AI Ethics
January 17, 2026
Source: Wired AI
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Article Summary

The recent departures from Thinking Machines Lab, led by former CTO Barret Zoph, are escalating a situation already marked by internal discord and strategic misalignment. Following a confrontation with founder Dame Natalia Murati over a relationship with another employee – details of which remain private – Zoph subsequently engaged with Meta Superintelligence Labs before ultimately joining OpenAI under the leadership of Fidji Simo. This exodus extends beyond Zoph, with multiple cofounders and researchers also joining OpenAI, including Andrew Tulloch and Luke Metz. Sources suggest that fundamental disagreements regarding Thinking Machines’ technological direction contributed to the instability, alongside a recent failed attempt to raise $50 billion at a peak valuation. The move underscores the competitive landscape in AI research and development, particularly as top talent gravitates toward established giants like OpenAI. The situation highlights the challenges faced by ambitious AI startups in securing funding and maintaining a cohesive vision.

Key Points

  • Barret Zoph’s departure, precipitated by a conflict with founder Natalia Murati, has directly led to him joining OpenAI.
  • The exodus of multiple Thinking Machines cofounders and researchers reflects a wider internal struggle and strategic uncertainty within the startup.
  • The situation reveals the competitive pressures within the AI sector, with talent actively seeking opportunities at leading organizations like OpenAI.

Why It Matters

This news is crucial for professionals in the AI industry due to its implications for the competitive landscape and the shifting dynamics of talent acquisition. The rapid departure of key personnel from Thinking Machines, a company previously touted as a serious challenger to OpenAI, significantly impacts the trajectory of AI research and development. It demonstrates the difficulty startups face in retaining talent against the allure of established giants with greater resources and brand recognition. Understanding this upheaval is vital for assessing the future of AI innovation and evaluating the strategies of both Thinking Machines and its competitors.

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