SingularityNET
@SingularityNET • 150,897 subscribers
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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In a conversation between CEO Dr. Ben Goertzel and Edward Edward Snowden, questions arise about how governments approach AI regulation and the growing centralization of AI development. Snowden noted that corporations often invoke AI safety in ways that can slow smaller startups. He argued that current regulations favor larger organizations "by design," raising questions about how to ensure a fair and beneficial AI ecosystem. The implications extend beyond corporate boardrooms. Nations are approaching AI development as a strategic race, Snowden said, with early movers gaining a significant advantage in the years ahead. Advanced AI systems could reshape labor markets, military capabilities, and society at large. Snowden emphasized that the technology is evolving quickly and will have a profound impact. The Beneficial AGI Summit, taking place from October 21-23 in Istanbul, aims to address these challenges by bringing together diverse voices to steer AGI toward democratic and decentralized futures. Register now to secure your place and make your voice heard:
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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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We are pioneering research and infrastructure to achieve decentralized human-level AGI.
SingularityNET21,576 Aufrufe • vor 7 Monaten
Accelerate AI innovation with ASI:Cloud, a high-performance cloud platform focusing on inference and AI workloads. Designed with performance, permissionless access, transparent pricing, and access to industry-leading LLMs, including ASI:One, the platform helps builders, developers, and enterprise teams move from idea to inference at scale. Ready to start your ASI infrastructure journey? Explore here:
SingularityNET24,547 Aufrufe • vor 11 Monaten
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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Computing hardware architecture has evolved from maximizing single-core performance to multiplying parallel processing capacity through more cores, more threads, and higher computational density. This transition demands software architectures specifically designed to exploit parallel processing, especially in advanced AI and blockchain-based systems. As Greg Meredith, CEO of our partner F1R3FLY. io, notes, "We need software architectures that can eat physical threads of computation and turn that into throughput." Traditional sequential programming models often struggle to effectively leverage the potential of these multi-core systems, creating a bottleneck in performance scaling. Rholang addresses this challenge through its foundation in the Rho-Calculus, a reflective higher-order process calculus specifically designed for inherent concurrency and reflection. Unlike computational models based on sequential execution or those that bolt on concurrency primitives, Rholang can leverage its process-oriented nature to detect and distribute non-interfering logical computation threads across available physical processing units, creating a more direct correlation between hardware resources and performance scaling. The Rho-Calculus was specifically designed to provide the minimal set of operations needed to model autonomous agents operating in parallel while maintaining the ability to represent their own reasoning processes. This structure mirrors the operational characteristics of intelligent systems, where autonomous processes run independently while communicating and coordinating. For our novel decentralized AI platform, MeTTaCycle, this future-proof architectural foundation enables more than just enhanced transactional throughput; it fosters an environment where independent computational processes can efficiently coexist and interact, forming a critical layer for the Artificial Superintelligence Alliance's decentralized AGI infrastructure and products.
SingularityNET29,368 Aufrufe • vor 1 Jahr
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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