In an Instagram post, Facebook aka Meta founder Mark Zuckerberg revealed plans to acquire 350,000 Nvidia H100 chips. Each chip has an estimated value of $30,000. Zuckerberg's claims he intends to use these high-powered AI graphics processing chips to develop an open-source AGI.

Meta is venturing into the realm of AGI alongside competitors like OpenAI and Google DeepMind, its commitment to open sourcing these groundbreaking models raises concerns about the ethical implications and potential consequences on a global scale.

Open-Source AGI

AGI is best defined as the point where AI exceeds human-level intelligence. OpenAI's definition more modest definition states that AGI is a "system that outperforms humans at most economically valuable work." 

Since then, many tech leaders have sounded off on when they predict AGI will go mainstream, like Google's DeepMind cofounder Shane Legg saying that he thinks researchers have a 50-50 chance to do so by 2028.

Zuckerberg outlined his goal of creating an open-source AGI, a move that has triggered apprehension among researchers and scholars. 

His vision has raised eyebrows and, in some cases, outright alarm among experts in the field. The idea of AI unleashed sent shockwaves through the tech community. 

The Experts Speak Out

Dame Wendy Hall, a computer scientist at the University of Southampton and a member of the United Nations' AI advisory board, expressed her concerns, stating, "The thought of open-source AGI being released before we have worked out how to regulate these very powerful AI systems is really very scary." 

She emphasized the potential risks of such technology falling into the wrong hands and deemed the proposition irresponsible.

While AGI is still in development, the urgency to establish regulatory frameworks is a matter of public safety, according to Hall. 

The Institute for People-Centered AI at the University of Surrey's director, Andrew Rogoyski, echoed these sentiments, emphasizing the need for international consensus rather than decisions made within the confines of a tech giant's boardroom.