Decentralized tech development platform, SingularityNET, is constructing a global network of supercomputers with the aim of developing artificial general intelligence (AGI).
The company explained on Monday that it is developing software to manage this complex system by overseeing a federated compute cluster, with the OpenCog Hyperon framework playing a crucial role in supporting the AI architecture and AGI ecosystem.
SingularityNET will also use a tokenized system, similar to arcade game tokens, to facilitate access to this supercomputer network. This will enable users to contribute data and engage in AGI experimentation and deployment.
These supercomputers will feature high end computer technology. A few examples of which include Nvidia L40S GPUs, AMD Instinct and Genoa processors, and Tenstorrent Wormhole server racks with Nvidia H200 GPUs—all among the most advanced AI hardware available today.
The network will harness sophisticated AI systems. These include deep neural networks, large language models, and multimodal systems that combine human behaviours with multimedia outputs. This approach aims to shift from traditional data-heavy learning to advanced machine thinking.
“The mission of the computing machine we are creating is to ensure a phase transition from learning on big data and subsequent reproduction of contexts from the semantic memory of the neural network to non-imitative machine thinking based on multi-step reasoning algorithms and dynamic world modeling based on cross-domain pattern matching and iterative knowledge distillation,” said Ben Goertzel, SingularityNET CEO.
The supercomputer network’s immense computational capabilities, while primarily focused on AGI development, could also be applied to a wide range of fields, including scientific research, engineering, and national security.
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SingularityNET blends AI and blockchain technology
SingularityNET is a decentralized platform that allows AI developers to create, share, and monetize AI services using blockchain technology. Founded by Dr. Ben Goertzel in 2017, it provides a global marketplace where developers can offer AI tools and services.
The platform also uses its AGIX token for transactions, promoting transparent and fair compensation. SingularityNET also focuses on advancing AGI by fostering collaboration among AI developers.
Recent thinking about AGI, including an essay by former OpenAI safety researcher, Leopold Aschenbrenner, suggests that this milestone could be achieved in the next decade.
Ray Kurzweil, an American computer scientist-turned-futurist, agrees.
He’s long believed that humanity is heading toward “the singularity,” a moment when man and machine will merge. In 1999, Kurzweil theorized that AGI would be achieved once technology could perform a trillion calculations per second. He also predicted this would happen by 2029.
Experts at the time dismissed the idea, expecting it to take at least a century or more. However, with Kurzweil’s timeline now just a few years away and discussions of AGI spreading, his decades-old prediction is gaining renewed attention.
SingularityNET is determined to turn this prediction into reality. The project is set to launch with a new supercomputer coming online in September. The company anticipates the entire network to be fully operational by the end of 2024 or early 2025.
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Verses AI has a different approach to AGI
Companies have taken multiple different avenues in the pursuit of artificial intelligence.
For example, Verses AI‘s (CBOE: VERS) (OTCQB: VRSSF) Genius program is an ambitious initiative aimed at developing advanced AI systems capable of autonomous decision-making and sophisticated reasoning. That’s not particularly a different avenue than what OpenAI or Anthropic are presently doing, but the course Verses is taking is different.
Instead, Verses AI has drawn inspiration from natural intelligence.
Its program focuses on creating AI that can learn, adapt, and solve complex problems across various domains without human intervention. The company uses technologies including neural networks and machine learning algorithms to push the boundaries of artificial intelligence.
The end result is AGI, albeit with a twist.
Rather than draw connections from a steady influx and flow of information fed into ever growing databases, Verses AI’s Genius program draws heavily from natural processes found in biological intelligence, particularly those observed in the human brain.
By mimicking how neurons communicate and form connections, the program aims to replicate the brain’s ability to learn, adapt, and evolve. This involves studying neuroplasticity—the brain’s capacity to reorganize itself by forming new neural connections—and applying similar principles to AI systems. Verses AI is exploring how these systems can self-optimize over time. This involves adding processes that mimic how humans refine their skills and knowledge through experience.
The program also takes inspiration from evolutionary biology, where natural selection drives the development of increasingly complex and capable organisms. Verses AI is utilizing evolutionary algorithms that simulate this process by generating, testing, and selecting the most efficient solutions, allowing AI systems to ‘evolve’ and improve autonomously.
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