HyperCycle, an early blockchain project devoid of ledgers, aims to establish connections between artificial intelligence (AI) machines for resource sharing, boasting an impressive registration of 347,000 computing nodes on its network, as revealed by CEO Toufi Saliba. While each node's cost currently stands around $1,000, the project's vision transcends monetary concerns, aspiring to evolve into the "Internet of Artificial Intelligence" and eventually decentralize Artificial General Intelligence (AGI).
Ben Goertzel, the founder of SingularityNET, serves as the lead AI scientist on the HyperCycle project. Goertzel initiated this endeavor due to the limitations of existing blockchains in delivering the speed and coordination requisite for AI applications. Leveraging the Toda communication protocol, Proof of Reputation, Modified Proof of Work, and Cardano's Hydra, HyperCycle strives to overcome these constraints. Saliba highlighted the network's efficiency, with transactions completed within a mere 300 milliseconds.
Saliba expressed concerns at the Beneficial AGI Summit in Panama regarding the potential rapid evolution of AGI into superintelligence, emphasizing the risks associated with centralized control over such technology by corporations or authoritarian states. With over a decade of experience in artificial intelligence, Saliba advocates for decentralized governance as the safest route to developing beneficial general artificial intelligence.
Despite its ambitious aspirations, HyperCycle presently operates within the realm of business-to-business interactions, focusing on connecting AI enterprises. Each HyperCycle node hosts virtual machines, trading machines, and AI machines, facilitating interactions and transactions among approximately 150 AI agents per node. Saliba elucidated this concept with an example involving an optical character recognition (OCR) AI application accessing an Aramaic OCR service via smart contract microtransactions.
While the companies deploying HyperCycle nodes primarily prioritize profit generation or cost reduction in AI computing, Saliba contends that the network's potential for scalability could pave the way for significant advancements. He envisions a scenario where the collective intelligence of interconnected AI nodes catalyzes the realization of universal artificial intelligence. By likening the network to a giant brain, Saliba underscores the notion that the aggregation of AI resources worldwide increases the likelihood of achieving AGI, thus positioning the global community as a unified entity in the pursuit of this transformative technology.
