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FLock teams with io.net to bring ‘Proof of AI’ to decentralized compute

Jayson Derrick
Edited by
News
FLock teams with io.net to bring ‘Proof of AI’ to decentralized compute

FLock has teamed up with io.net to create the world’s first Proof of AI consensus mechanism, designed to verify the integrity of nodes within decentralized compute networks.

This approach uses AI training tasks to ensure that decentralized physical infrastructure networks operate honestly and effectively, according to a press release shared with crypto.news.

In other words, this system utilizes AI tasks to verify that all computers in the network are operating as intended, maintaining honesty, and working efficiently. The mechanism involves an engine that continuously provides challenges, aggregates responses, and supplies stats to compile judgments in a decentralized and AI-native way.

FLock teams with io.net to bring 'Proof of AI' to decentralized compute - 1
Image shared with crypto.news via press release

“AI engineers and end users alike need to trust the quality of the compute resources they are provided with, and Proof of AI is the key to achieving that. Compute underpins the entire AI development process, which is why we’re starting with that, and we are delighted to join forces with io.net, a true leader in its field.” 

Jiahao Sun, Founder and CEO of FLock

PoAI, an AI-native Proof of Work, allows nodes to earn block rewards by contributing to both DePINs and AI training networks like IO.net and FLock.io. The system constantly challenges these nodes with demanding AI tasks to ensure their contributions are accurate and trustworthy.

Advancing decentralized AI ecosystems

FLock is responsible for generating synthetic data to challenge nodes and aims to extend PoAI’s verification capabilities beyond compute tasks to include AI training and federated learning. The long-term goal is to develop a dedicated AI blockchain.

Working together, FLock and io.net is an important step in advancing decentralized AI ecosystems and setting the stage for future innovations in the field.