Why AGI is Closer Than You Think

SingularityNET
SingularityNET
Published in
6 min readJun 28, 2024

Many, if not most, AI experts believe that achieving human-level Artificial General Intelligence (AGI) is still decades away. However, the reality might be much closer than we think.

Dr. Ben Goertzel, the Father of AGI and CEO of SingularityNET, estimates that we could be merely three to eight years away from achieving AGI. This relatively short timeline reflects his belief that we are on the cusp of significant breakthroughs in the field.

According to Dr. Goertzel, rapid advancements in AI, the integration of hybrid systems, and the increasing computational power and data availability are accelerating us toward this milestone. His insights suggest that the dawn of AGI is on the horizon, and it’s here to transform our world sooner than anticipated.

The Milestones Ahead

AGI has long been a topic of fascination and speculation among experts and enthusiasts in the field of artificial intelligence, just as everyday people don’t usually take an interest in technology and AI.

Defined as the point where AI systems can perform any intellectual task that a human can, AGI promises to revolutionize industries, solve complex problems, and potentially transform society in ways we can’t even yet imagine.

Recent developments suggest that AGI might be closer than many believe, driven by breakthroughs in technology, innovative frameworks, and the collaborative global effort that researchers have been trying to foster for the last few decades. But it doesn’t stop there.

Ultimately, the journey toward AGI is not just about creating smarter algorithms — it’s about bringing together various technological advancements to drive progress toward.

A Convergence of Technological Breakthroughs

While the recent innovations in Large Language Models (LLMs) are not deemed vital for achieving AGI (and might even steer attention away from it, due to their ability to mimic human intelligence), Dr. Goertzel acknowledges that they may serve as potential “accelerants’’ of that progress. LLMs can serve as information feeders, oracles, and components of AGI systems, helping early AGI systems learn and decide what to pay attention to. This utilization of LLMs can significantly speed up the development process. It’s surprising how rapid their progress was, as well — substantial material advances can occur in just one year, and this just goes to highlight the fast-paced nature of the field of artificial intelligence.

Furthermore, the rapid advancements in hardware capabilities and data processing power are also important factors we have to consider when we think about potential timelines for AGI development. The massive computational resources required for training sophisticated AI models are becoming more and more accessible as time goes on. It’s exactly this convergence of technological breakthroughs that is paving a solid foundation for the emergence of AGI.

The Mission to Achieve Global Cooperation

We also cannot ignore the massive progress being made on the mission to develop a global, collaborative effort among researchers, developers, and institutions. Events such as the Beneficial AGI Summit (BGI) in 2024 brought together top industry leaders from around the globe and got them to engage in comprehensive, detailed discussions on a wide range of topics from technological advancements to policy, ethics, and philosophy.

With time, more and more individuals and organizations are realizing that our journey toward AGI should be a shared one, one in which everyone can play a role, contribute, and let their voice be heard on how they believe this groundbreaking technology should impact the world. The open-source movement in AI research has tirelessly worked on democratizing access to cutting-edge tools and knowledge, allowing a diverse range of contributors to participate in AGI development. This decentralized approach is one of the fundamental factors for ensuring that AGI systems are developed transparently and ethically, with input from a wide array of perspectives.

The Road to Baby AGI

The path to AGI is becoming clearer, with significant milestones expected in the near future. As we stand on the brink of a new era in artificial intelligence, the collaborative efforts of the global research community, coupled with technological innovations, are bringing us closer to realizing the dream of AGI.

The next few years will be the most important yet when it comes to shaping the trajectory of AGI and ensuring that it serves as a force for good in society.

Dr. Ben Goertzel’s recent statements at the Beneficial AGI Summit in Panama highlight the tangible progress being made towards AGI.

He revealed that an early prototype, or “Baby AGI,” could be operational as soon as 2025. This prototype aims to leverage open-source code, decentralized infrastructure, and diverse cognitive architectures to create a system that can perform human-like tasks.

Goertzel’s blueprint for AGI development emphasizes inclusivity and ethical considerations, ensuring that AGI benefits humanity broadly rather than being controlled by corporations or governments.

OpenCog Hyperon is a cornerstone in the pursuit of creating an Artificial General Intelligence (AGI) that mirrors and surpasses human cognitive capabilities. This open-source software framework synergizes multiple AI paradigms within a unified cognitive architecture, propelling us toward the realization of human-level AGI and beyond. With the recent release of OpenCog Hyperon Alpha, SingularityNET has created a robust framework for collaborative innovation within the AGI community.

Hyperon aims to integrate advanced algorithms and cognitive architectures, marking a significant step towards developing a fully functioning AGI.

While the potential benefits of AGI are immense, ranging from eliminating repetitive labor to curing diseases and extending human life, the journey is fraught with ethical challenges. Ensuring that AGI systems are aligned with human values and do not exacerbate social inequalities is paramount. Dr. Goertzel advocates for a cautious yet proactive approach, an approach in which we as a humanity balance the acceleration of AGI development with measures to prevent misuse and ensure that the benefits of this transformative technology reach all sentient beings.

For now, we’ll leave you with an excerpt of an interview with Dr. Ben Goertzel where he was asked “When do you think AIs will achieve human-level intelligence, or AGI?”

Dr. Ben Goertzel: “I think once you have a human-level AGI, you’re some small integer number of years from a radically superhuman AGI because that human-level AGI software can rewrite its own code over and over. It can design new hardware and pay people to build a new factory for it and whatnot. But for human-level — by which we mean AI that’s at least at human-level on every major capability — I think Ray’s prognostication of 2029 is not looking stupid right now, it’s looking reasonable.

Of course, there’s a confidence interval around it. Could it be three or four years sooner or three or four years later? Absolutely. We can’t predict exactly what will happen in the world. There could be more pandemics, there could be World War Three, there could be a lot of things that happen. In terms of my own AGI projects, I could see us getting there three years from now.”

About SingularityNET

SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country. The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment.

Decentralized AI Platform | OpenCog Hyperon | Ecosystem | ASI Alliance

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SingularityNET
SingularityNET

The world's first decentralized Artificial Intelligence (AI) network