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Io.net and Flock.io Launch Proof of AI to Enhance AI Trust

Sep 10, 2024
  1. A New Consensus Mechanism
  2. Ensuring Decentralized Integrity
  3. Strategic Partnerships and Expanding Horizons

According to an Aug. 29 CoinTelegraph report, Io.net, a leading decentralized physical infrastructure network, partnered with Flock.io, a decentralized AI training platform, to introduce a new consensus mechanism called Proof of AI (PoAI).

A New Consensus Mechanism

Unlike traditional consensus mechanisms that primarily validate transactions, PoAI focuses on verifying the integrity and performance of compute resources within decentralized networks. As a result, only genuine contributors are rewarded, while those who simulate contributions are penalized.

PoAI enables decentralized networks to become a more trusted and scalable solution for AI applications.Milan Amin, Chief Marketing Officer at Ionet

Ensuring Decentralized Integrity

The primary function of PoAI is to substantiate DePIN node integrity in an "AI-native" manner. This means that Ionet’s decentralized network will now have a system for verifying the authenticity of contributions. This way, the network is reportedly more secure and reliable for businesses and developers who want to provide decentralized AI solutions. The implementation of PoAI will compile node judgments within Ionet, providing a transparent and immutable record of resource contributions.

Strategic Partnerships and Expanding Horizons

The introduction of PoAI follows that of Io.net’s recent strategic partnerships and developments. A few months before this announcement, Binance revealed Ionet as its 55th Launchpool project, with the IO token now available for trading. In addition to its partnership with Binance, Ionet has also teamed up with Aptos Labs. Together, they aim to create a transparent and immutable ledger of resources and creations generated by AI.

Ionet is a decentralized physical infrastructure network (DePIN) that continues to specialize in deploying and managing on-demand decentralized GPU clusters, reducing costs, accelerating lead times, and expanding options.

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