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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

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Published Jul 18, 2023

697: The (Short) Path to Artificial General Intelligence — with Dr. Ben Goertzel

Dr. Ben Goertzel explores the imminent arrival of Artificial General Intelligence, delving into its ethical and economic implications, while highlighting the innovative role of SingularityNET in decentralizing AI systems to ensure its benevolent integration into society.
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  • Origins

    explains the origins and evolution of SingularityNET, a decentralized platform for AI launched in 2017. Initially built on the Ethereum blockchain, the platform aimed to enable AI developers to connect and collaborate, but faced challenges due to slow blockchain technology and high costs. To address these issues, the team pivoted to creating their own projects like Rejuve and SingularityDAO, showcasing the potential of decentralized AI in various vertical markets 1. highlights the importance of integrating large language models (LLMs) and other AI technologies into this decentralized framework 2.

    The intelligence of the whole can be greater than the intelligence of the parts.

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    Expansion

    The SingularityNET ecosystem has expanded to include projects like NuNet and Hypercycle, which contribute to the decentralized AI network by providing processing power and a ledgerless blockchain, respectively. describes how these technologies support the training and fine-tuning of LLMs and other AI models in a decentralized manner 3. Additionally, the ecosystem utilizes a unique programming language called Meta, enabling probabilistic programming and fuzzy logical reasoning within a decentralized knowledge graph 4.

    We have nodes in our knowledge graph that have references within the torch compute graph.

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    Challenges

    Decentralizing AI presents significant challenges, particularly in maintaining control and ensuring benevolence. emphasizes the need for decentralized control to avoid central ownership and the ethical implications of AI development 5. He also discusses the difficulties faced by companies like OpenAI, which started with open-source ideals but shifted towards more closed, profit-driven models 6.

    The challenge with benevolent, decentralized AGI is not so much bad guys who want to build killer robots, but the tendency to shift toward a narrower perspective to get things done.

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