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Could enabling AIs to cooperate fast-track AGI?

All of the talk about artificial intelligence (AI) has been certainly exciting, and also repetitive. In an age when progress moves faster and faster, people are thinking about what’s next. In general, tech researchers are heavily focused on the development of Artificial General Intelligence (AGI), which is an evolution of AI that’s capable of completing a broader, more human range of intellectual tasks. 

There is a school of thought amongst researchers that suggests enabling AI to compete and cooperate with other AI systems will speed its development, thus shortening our path to a world with AGI. HyperCycle is a company that’s trying to propel this process forward with its “tiny but essential component that enables AI machines to transact with other AI machines.” Essentially, they’re opening gateways to let AI machines use each other to learn and grow. 

Think of art. All of these AI art generators have come out in the last year, and while impressive, they’re also repetitive and often riddled with curious, inappropriate deviations. When humans make art, they hear the criticism. They talk to other artists. And over time, work develops and changes. The nodes that HyperCycle is building should enable AI machines to communicate and learn from one another in a similar way. The generational, developed consciousness such communication is projected to develop is AGI. 

HyperCycle

A brain connected to a computer.

HyperCycle’s approach to its connective nodes is fascinating, and its system is actually inspired by the human immune system’s collaborative makeup. By enabling AI models to work together and even compete, we can expect faster progress towards AGI. In theory, this should catapult us into an era when we can count on AI to produce more concrete work, and even delve into uncharted waters for machine learning — i.e. multi-agent learning and decentralized decision making. 


In other words, competition and collaboration could help AI’s potential grow exponentially, whether in terms of producing art, or in terms of solving complex financial problems, curing diseases, and theoretically solving any of life’s greatest mysteries. That process begins by connecting AI machines, which brings us back to HyperCycle’s nodes working within a lightweight, system-based blockchain architecture that supports scalable AI microservices.

To delve deeper into how HyperCycle’s working to bring us to AGI faster, download this whitepaper.

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