Introduction to Qui AI
A high level overview of Qui AI's fundamental building blocks.
Last updated
A high level overview of Qui AI's fundamental building blocks.
Last updated
Qui AI is crypto for the global and compute economies.
Qui AI is the only fully scalable and programmable Proof-of-Work Layer-1. Through the implementation of a variety of new Proof-of-Work primitives, including a category-creating native “stablecoin” connected to the cost of energy, Qui brings reliable, real-world value on-chain to function as financial infrastructure for a compute-centric economy.
Within Qui, Proof-of-Work is used not only to secure the network from attackers, but also to function as an oracle for real-world demand and energy costs, allowing for the creation of a completely decentralized “stablecoin” tied to energy. This token is not pegged to or backed by any asset, but rather exclusively uses market incentives to consistently drive the token’s price towards the cost of energy.
Energy is the single largest input to both human activity and artificial intelligence. The intrinsic value of energy to both man and machine makes it an ideal foundation for a new currency to be built upon.
Qui AI joins protocols like Hacash and Themelio as a leader in the emerging category of decentralized Proof-of-Work “stablecoins.”
Through the use of a new Proof-of-Work fork-choice rule named Proof-of-Entropy-Minima (PoEM), Qui AI is able to remain in consensus while coordinating enough execution shards to support all of global commerce. This property allows Qui AI to dynamically add shards to the network as needed in order to meet perpetually growing demand. The only tradeoff to adding shards to Quai (and thus increasing throughput) is an increased time to cross-shard settlement.
Trustless bridging between all shards in the network is achieved by using miners to create objective links between shards.
Quai Network’s native, pre-defined scaling creates a mechanism for congestion to be alleviated as demand increases, keeping fees permanently low even with growing usage.
