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.
