Meta Officially Competes for AGI Supremacy
**Meta's Ambition for AGI and Open-Source Development**
Mark Zuckerberg, CEO of Meta, revealed in an interview with The Verge that Meta is entering the field of artificial general intelligence (AGI). Despite AGI being an abstract concept without a clear definition, Zuckerberg expressed Meta's intent to develop it. The company may even consider making AGI open-source, a strategy similar to the one employed during the creation of Llama 2, Meta's large language model.
Talent is recognized as a critical resource in AGI development, with Zuckerberg acknowledging the intense talent wars in the field. As the pursuit of AGI attracts more innovators and venture capitalists, top engineers are in high demand, and their recruitment comes with substantial financial bids, reaching as high as $1 million per annum.
Executing an AGI model requires extraordinary computing power. By the end of 2024, Meta is expected to own nearly 600,000 Nvidia GPUs, positioning itself to handle the large-scale training of AI and AGI development.
The consideration of making AGI open-source raises questions about data security, especially in the context of Meta's previous experiences with open-sourcing ChatGPT. While Zuckerberg expresses openness to the idea, Meta's history suggests a preference for a closed-source approach to maintain control over valuable technologies.
Despite the potential benefits of AGI, including advancements in healthcare, Meta's primary objective remains data ownership. The company aims to leverage AI integration in its platforms to enhance user engagement and usefulness. While Zuckerberg suggests a willingness to lean towards open source if it makes sense and is safe, Meta's historical focus on owning and controlling data raises doubts about the democratization of AI technologies.
AGI remains a mysterious concept, but its increasing traction in the industry makes it a profitable area of exploration, prompting even major players like Meta to join the pursuit. The potential for AGI to act as an intelligent data bank for applications like healthcare diagnoses adds to its allure.
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