How is Qubic tackling the AGI challenge? Through Aigarth, a decentralized framework built on brain-inspired neural architecture.

Unlike traditional centralized AI approaches, this system leverages self-modifying networks that evolve across a distributed infrastructure. The core mechanism combines artificial neurons and synapses that work in concert—enabling adaptive intelligence without relying on a single point of control.

What makes this different? The architecture prioritizes evolutionary adaptation rather than static model training. Each node participates in the intelligent tissue layer, creating redundancy and resilience. This approach reduces dependency on massive compute farms while distributing cognitive load across the network.

The implications are significant for blockchain projects exploring AI integration. By embedding intelligence directly into the protocol layer through decentralized neural mechanisms, Qubic positions itself at the intersection of two major tech frontiers: autonomous systems and truly distributed computing.