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Will the development and deployment of the first AGI be controlled by a select few major militaries and big tech companies? CEO Dr. Ben Goertzel discusses growing public concerns about AGI governance and how people are beginning to ask the right questions about the AI's future.

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CEO Dr. Ben Goertzel at #Consensus2025: We will launch the first decentralized AGI and Big Tech will play catch-up. $FET
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CEO Dr. Ben Goertzel at #Consensus2025: We will launch the first decentralized AGI and Big Tech will play catch-up. $FET

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As Big Tech companies continue channeling billions of research dollars and attention into developing and scaling LLMs, a fundamental question is emerging in tech circles: Are LLMs actually leading us away from true AGI? At a #Consensus2025 panel addressing whether Web3 is losing the AI race, our CEO, Dr. Ben Goertzel, challenged the conventional wisdom driving investment strategies at many leading AI companies and sovereign wealth funds, including the recent multi-billion-dollar investments from Saudi Arabia and the UAE in US AI infrastructure. "I would quote Yan LeCun, a pioneer of deep learning and the head of AI at Facebook, who said on the highway to AGI, LLMs are an off-ramp," Dr. Goertzel told attendees, rejecting the premise that Web3 approaches are falling behind centralized AI development: "If you've gotten off the off-ramp, it doesn't matter if you're going 1,000 miles an hour and the other guy's only going 300 miles an hour if they're going on the right highway to the destination." The panel, which featured Ben Fielding (Founder, Gensyn), Jesus Rodriguez (CEO, IntoTheBlock), Clara Tsao (Founding Officer, Filecoin Foundation), and Jeff Wilser (Founder and Host, The People's AI Podcast), revealed a stark divide in how industry experts view the future of decentralized AI. While other panelists pointed to Web3's current disadvantages in talent, datasets, and infrastructure, Dr. Goertzel addressed a deeper issue: the incremental improvement of LLMs is not a viable approach to achieving human-level AGI. However, "If scaling up transformer neural nets is the crux of how you get to AGI, it's hard to see how the US and Chinese governments and the Big Tech companies in their orbit don't win the race," Dr. Goertzel acknowledged, noting the immense capital these entities are deploying. Our AGI R&D efforts at SingularityNET suggest a different path forward. "My own research intuition is that LLMs are not suited to be the central hub of a human-level AGI, let alone a Superintelligence, although they can be a powerful ingredient in a hybrid architecture for AGI," Dr. Goertzel explained. Our team is developing OpenCog Hyperon, a "hybrid, deep neural net, symbolic reasoning, evolutionary learning, approach to AGI within more sophisticated cognitive architectures than LLMs comprise," as described by Dr. Goertzel. This cognition-level approach represents a fundamentally different direction from most mainstream AI development. Dr. Goertzel closed with a prediction that would have seemed outlandish just a few years ago but now reflects our growing confidence in decentralized approaches through which AGI will be in the hands of humanity at large and without a single owner or controller: "Within the Artificial Superintelligence Alliance, we will launch the first AGI within one to three years from now on a decentralized infrastructure, and Big Tech will play catchup."
3:00

As Big Tech companies continue channeling billions of research dollars and attention into developing and scaling LLMs, a fundamental question is emerging in tech circles: Are LLMs actually leading us away from true AGI? At a #Consensus2025 panel addressing whether Web3 is losing the AI race, our CEO, Dr. Ben Goertzel, challenged the conventional wisdom driving investment strategies at many leading AI companies and sovereign wealth funds, including the recent multi-billion-dollar investments from Saudi Arabia and the UAE in US AI infrastructure. "I would quote Yan LeCun, a pioneer of deep learning and the head of AI at Facebook, who said on the highway to AGI, LLMs are an off-ramp," Dr. Goertzel told attendees, rejecting the premise that Web3 approaches are falling behind centralized AI development: "If you've gotten off the off-ramp, it doesn't matter if you're going 1,000 miles an hour and the other guy's only going 300 miles an hour if they're going on the right highway to the destination." The panel, which featured Ben Fielding (Founder, Gensyn), Jesus Rodriguez (CEO, IntoTheBlock), Clara Tsao (Founding Officer, Filecoin Foundation), and Jeff Wilser (Founder and Host, The People's AI Podcast), revealed a stark divide in how industry experts view the future of decentralized AI. While other panelists pointed to Web3's current disadvantages in talent, datasets, and infrastructure, Dr. Goertzel addressed a deeper issue: the incremental improvement of LLMs is not a viable approach to achieving human-level AGI. However, "If scaling up transformer neural nets is the crux of how you get to AGI, it's hard to see how the US and Chinese governments and the Big Tech companies in their orbit don't win the race," Dr. Goertzel acknowledged, noting the immense capital these entities are deploying. Our AGI R&D efforts at SingularityNET suggest a different path forward. "My own research intuition is that LLMs are not suited to be the central hub of a human-level AGI, let alone a Superintelligence, although they can be a powerful ingredient in a hybrid architecture for AGI," Dr. Goertzel explained. Our team is developing OpenCog Hyperon, a "hybrid, deep neural net, symbolic reasoning, evolutionary learning, approach to AGI within more sophisticated cognitive architectures than LLMs comprise," as described by Dr. Goertzel. This cognition-level approach represents a fundamentally different direction from most mainstream AI development. Dr. Goertzel closed with a prediction that would have seemed outlandish just a few years ago but now reflects our growing confidence in decentralized approaches through which AGI will be in the hands of humanity at large and without a single owner or controller: "Within the Artificial Superintelligence Alliance, we will launch the first AGI within one to three years from now on a decentralized infrastructure, and Big Tech will play catchup."

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CEO Dr. Ben Goertzel discusses AGI benchmarks and explains why a system passing François Chollet's Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) wouldn’t necessarily qualify as human-level AGI.
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Watch our CEO, Dr. Ben Goertzel and the CEO of Fetch.ai, Humayun, discuss the vision and motivation behind forming the Artificial Superintelligence Alliance and explore the path to decentralized AGI at the Proof of Talk 2025 Summit:
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THE TEN RECKONINGS OF AGI are ten critical, unanswered questions that will shape the future of humanity and our relationship with artificial intelligence, from narrow AI through human-level Artificial General Intelligence (AGI) to Superintelligence. This initiative builds on our new global study, which revealed in its first phase mounting public concern over AI governance. Initial findings from US-based respondents indicate that 48% believe advanced AI systems are being developed primarily by and for the benefit of a select few Big Tech corporations and governments, with insufficient public oversight and accountability. The data also shows that two-in-five (39%) Americans are worried that current AI development is not transparent and accountable to the public. The majority (54%) say they feel the direction of development is already out of our hands, and they lack control over the role AI will play in their lives over the next 5-10 years. CEO Dr. Ben Goertzel challenges this trajectory, advocating for open dialogue and interoperability among all AI actors to ensure that future developments serve humanity and other sentient beings. Starting next week, each of THE TEN RECKONINGS will be interrogated by Dr. Goertzel together with the world’s leading minds in AI, technology, philosophy, and ethics, with publicly available information for all to engage with the discussion. Follow THE TEN RECKONINGS on YouTube and subscribe to stay updated as each question is explored:
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The world is reassessing AGI timelines. CEO Dr. Ben Goertzel speaking today at Consensus Hong Kong: “Saying AGI is 2 years off is no longer hyper-optimistic… that’s now a relatively conservative view.”
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The 18th Annual AGI Conference (AGI-25) took place last month at Reykjavik University in Iceland, bringing together participants from over 80 countries to explore pioneering research on the path to AGI. AGI-25 programming featured distinguished keynote presentations from leaders in academia and industry, including Ben Goertzel, Richard Sutton, Tatiana Shavrina, Michael Levin, Anna Ciaunica PhD @annaciaunica.bsky.social, and Joscha Bach. These talks addressed core challenges in AGI theory and implementation, the limitations of current state-of-the-art learning systems, and new frameworks for integrating reasoning, embodiment, and autonomy. The accepted papers covered a broad range of research areas, including novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations, and philosophy of AGI. The conversation on advancing general machine intelligence continues toward AGI-26.

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