Meta Appoints Ex-OpenAI Researcher Shengjia Zhao as Chief Scientist of New Superintelligence Lab

Reviewed byNidhi Govil

16 Sources

Meta has named Shengjia Zhao, a former OpenAI researcher and co-creator of ChatGPT and GPT-4, as the chief scientist of its newly formed Meta Superintelligence Labs (MSL). This move is part of Meta's aggressive push into advanced AI development.

Meta's Strategic Move in AI Leadership

Meta Platforms, under the leadership of CEO Mark Zuckerberg, has made a significant move in the artificial intelligence arena by appointing Shengjia Zhao as the chief scientist of its newly formed Meta Superintelligence Labs (MSL). Zhao, a former OpenAI researcher and co-creator of ChatGPT and GPT-4, will lead the research efforts at MSL, working directly with Zuckerberg and Alexandr Wang, Meta's Chief AI Officer 12.

Source: Analytics Insight

Source: Analytics Insight

Zhao's Impressive Background

Shengjia Zhao brings a wealth of experience to his new role at Meta. He has been instrumental in developing several groundbreaking AI models, including:

  1. ChatGPT
  2. GPT-4
  3. OpenAI's first AI reasoning model, o1
  4. OpenAI's mini models 4.1 and o3 3

Zhao's expertise in AI reasoning models is particularly noteworthy, as Meta currently lacks a competitor to OpenAI's o1 model 1.

Meta's Aggressive AI Hiring Strategy

The appointment of Zhao is part of Meta's broader strategy to become a leader in advanced AI development. This strategy includes:

  1. Multibillion-dollar investments, including a $14.3 billion stake in Scale AI 5
  2. Recruiting top talent from rival companies such as OpenAI, Google DeepMind, Apple, and Anthropic 13
  3. Offering highly lucrative compensation packages, with some reports suggesting offers as high as $100 million to $300 million over four years for top AI talent 5

The Formation of Meta Superintelligence Labs

Source: Axios

Source: Axios

MSL represents Meta's focused effort to develop artificial superintelligence (ASI) - AI systems that surpass human intelligence across various domains. The lab aims to:

  1. Build new AI models that can perform tasks as well as or better than humans
  2. Develop "full general intelligence"
  3. Release its work as open source, a strategy that has sparked both praise and concern in the AI community 35

Meta's AI Infrastructure Investment

To support its ambitious AI goals, Meta is significantly upgrading its cloud computing infrastructure:

  1. By 2026, MSL researchers will have access to Meta's one-gigawatt cloud computing cluster, Prometheus, located in Ohio
  2. This massive computing power will enable Meta to conduct the extensive training runs required for creating frontier AI models 1
Source: Inc. Magazine

Source: Inc. Magazine

Challenges and Competition

Despite its aggressive moves, Meta faces challenges in the AI landscape:

  1. The recent release of its Llama 4 model family received mixed reviews, with some critics citing poor real-world performance and inconsistent quality 5
  2. Meta is playing catch-up with established AI leaders like OpenAI and Google, as well as emerging Chinese open-source rivals like DeepSeek and Qwen 5

The Road Ahead

With Zhao's appointment and the formation of MSL, Meta is positioning itself to compete at the forefront of AI development. As Zuckerberg stated, "You can have hundreds of thousands of GPUs, but if you don't have the right team developing the model, it doesn't matter" 5. The coming years will reveal whether Meta's substantial investments and high-profile hires will translate into AI breakthroughs that can rival or surpass those of its competitors.

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