Why Meta Wants to Build Open-Source AGI?

Mark Zuckerberg's latest venture into the world of Artificial General Intelligence (AGI) has sent ripples through the tech community.

Introduction

Mark Zuckerberg, the ever-ambitious CEO of Meta (formerly Facebook), has thrown down the gauntlet in the race for Artificial General Intelligence(AGI).

In an Instagram reel and subsequent interviews, he declared Meta’s intention to build AGI, a hypothetical form of AI capable of understanding and performing any intellectual task that a human can.

But Zuckerberg’s ambition doesn’t stop there; he also advocates for open-sourcing the technology, making it freely available for anyone to access and modify. This bold statement has ignited a firestorm of debate, raising questions about the feasibility, ethics, and potential consequences of such an endeavor.

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Why Meta Wants to Build and Open-Source AGI

According to Zuckerberg, Meta’s long-term vision is to build general intelligence, open source it responsibly, and make it widely available so everyone can benefit.

He said that the next generation of tech services requires building full general intelligence, and that Meta is bringing its two major AI research efforts, FAIR and GenAI, closer together to support this goal.

Is Meta’s Plan Is Controversial and Risky?

Despite the concerns and objections raised by many AI experts and critics, Meta’s plan to build and open-source AGI has generated significant debate.

Transitioning into the realm of Artificial General Intelligence(AGI), some prominent figures, such as Dame Wendy Hall and Dr. Andrew Rogoyski, have expressed their reservations.

Hall, a professor of computer science and UN advisory member, deemed the prospect “really very scary” and criticized Zuckerberg for considering it, while Rogoyski warned that pushing open-sourcing into AGI could have consequences ranging from “world-saving to catastrophic.”

Read More: What is Artificial General Intelligence (AGI)and Why Should You Care? – techovedas

My Perspective on Meta’s Plan

I believe that AGI is an admirable and ambitious goal; furthermore, it holds the potential to bring numerous benefits and opportunities for humanity and society. In alignment with this vision, Meta is actively advancing its investment in AI, currently amassing nearly $9 billion worth of Nvidia chips.

Moreover, Meta’s entry into the AI race might position it as a fitting competitor to OpenAI, given its initiation of training Llama 3.
However, I also recognize that AGI is not an easy or simple task, and that it involves many technical and ethical challenges and risks.

Proceed with Meta’s plan with caution and care, guided by the following principles.

Respect for human dignity, autonomy, and diversity
Alignment with human values, preferences, and goals
-Protection of human rights, interests, and well-being

Read More: What is Artificial General Intelligence (AGI) : Possibilities & Danger – techovedas

Conclusion and Recommendations

Ultimately, the success of Zuckerberg’s vision hinges on a delicate balancing act. Zuckerberg’s bold proposal has forced us to confront the ethical and societal implications of this nascent technology. Whether his vision becomes a reality, and if so, whether it leads to utopia or dystopia, remains to be seen. But one thing is certain: the race for AGI has just entered a new and potentially transformative chapter.

Kumar Priyadarshi
Kumar Priyadarshi

Kumar Priyadarshi is a prominent figure in the world of technology and semiconductors. With a deep passion for innovation and a keen understanding of the intricacies of the semiconductor industry, Kumar has established himself as a thought leader and expert in the field. He is the founder of Techovedas, India’s first semiconductor and AI tech media company, where he shares insights, analysis, and trends related to the semiconductor and AI industries.

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. He couldn’t find joy working in the fab and moved to India. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL)

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