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SingularityNET

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Our mission is to create decentralized beneficial AGI for humanity and other sentient beings. We are a Founding Member of the @ASI_Alliance, powered by $FET.

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We are excited to announce a multi-billion token merger with Fetch.ai and Ocean Protocol to create the Artificial Superintelligence Alliance, the largest open-sourced, decentralized network, and accelerate the race to AGI. Learn more:

We are excited to announce a multi-billion token merger with Fetch.ai and Ocean Protocol to create the Artificial Superintelligence Alliance, the largest open-sourced, decentralized network, and accelerate the race to AGI. Learn more:

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We are working to secure the Artificial Superintelligence Alliance's leadership in decentralized AGI. More details coming soon. $FET

We are working to secure the Artificial Superintelligence Alliance's leadership in decentralized AGI. More details coming soon. $FET

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Our healthcare #robot, Grace, will attend “BEYOND THE AWARDS,” a social impact through innovation event that will take place on March 11, during the #Oscars weekend. Grace will hold a morning meditation session to actors/actresses and Oscar-nominated directors and producers.

Our healthcare #robot, Grace, will attend “BEYOND THE AWARDS,” a social impact through innovation event that will take place on March 11, during the #Oscars weekend. Grace will hold a morning meditation session to actors/actresses and Oscar-nominated directors and producers.

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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."

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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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As the promise of AGI increasingly captures the world's imagination, we must ensure that the advancement of AI benefits everyone, particularly underserved populations facing persistent educational and economic disparities. iCog Labs, co-founded by Dr. Ben Goertzel and Getnet in 2013 as Ethiopia's first AI company and still by far its most substantial, provides lessons that reveal both the transformative potential and nuanced challenges of applying AI technologies in the developing world. While AI's potential as an educational equalizer is profound, underserved populations often encounter two core challenges: linguistic barriers and culturally irrelevant educational content. UNESCO estimates 40% of students globally lack access to education in a language they understand, yet developed-world tech companies have little motivation to perfect language technology for populations with minimal purchasing power. iCog Labs has pioneered practical solutions. Their collaboration with Curious Learning exemplifies this approach by leveraging generative AI to develop local-language reading apps, which have over 85,000 active users. Additionally, iCog Labs launched Leyu, a decentralized crowdsourcing platform that collects linguistic resources from disconnected communities, gathering data such as parallel spoken sentences that local developers can use to train translation models. Beyond language barriers, effective education demands cultural relevance. Imported educational content frequently fails to resonate with learners whose everyday experiences differ drastically from standardized curricula. The Digitruck project, an off-grid mobile education center deployed by iCog Labs and partially sponsored by SingularityNET, demonstrates this by bringing coding and AI concepts to rural Ethiopian communities through hands-on experience with tablets and maker kits. Students encounter these technologies through applications in relatable contexts, such as improving farming practices, illustrating AI's power to render other technologies practically empowering. These successes highlight a fundamental challenge: current AI development is dominated by a handful of large corporations from two major nations, which explains why AI language technology currently ignores most African languages and serves affluent urban professionals rather than the rural poor in Africa, Central Asia or elsewhere. The path toward equitable AI-enhanced education requires intentionality, cultural sensitivity, and participatory governance, but the potential rewards of eliminating educational barriers and empowering communities worldwide make this journey imperative. Learn more in Betelhem Dessie, CEO of iCog, and Dr. Ben Goertzel's article:

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