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Kite AI announces restaking partnership with EigenLayer 

Kite AI announces restaking partnership with EigenLayer

Decentralized artificial intelligence (AI) layer-1 (L1) platform Kite AI has announced a new partnership with Ethereum (ETH)-based staking protocol EigenLayer (EIGEN)

Kite AI operates a decentralized market for compute assets, which allows users to tokenize and, ultimately, monetize traditionally illiquid AI resources, such as datasets, models, and autonomous agents.

The integration will see EigenLayer’s Active Validation Service (AVS), which leverages restaked validators to verify computations, to bring a heightened level of trust to AI inference and listing processes on the platform.

Here’s how Kite AI will utilize EigenLayer

This latest development will allow validators who have restaked their ETH to independently validate various AI operations on the platform. 

These processes will range from confirming the accuracy of inference outputs by reproducing model results across a wide range of validators and assessing model integrity and performance to establishing a baseline threshold of distributed consensus.

Simply put, it will be a decentralized network that ensures the accuracy and reliability of AI models, datasets, and agents.

In order to incentivize transparency and honesty, the platform reserves the right to fine and penalize validators who attempt to act dishonestly or manipulate consensus.

Chi Zhang, Co-founder and CEO of Kite AI, summarized the goals of the new partnership thusly:

“This partnership is a massive milestone for decentralized AI. By combining EigenLayer’s restaking with our Proof of AI consensus, we’re creating a cryptoeconomically secured environment where anyone can build and scale AI with confidence.”

The partnership will allow Kite AI to scale its validation capacity through onboarding Ethereum restakers, as well as strengthen core marketplace operations. Moreover, Kite AI will be able to trace the provenance of training datasets to ensure data integrity and maintain consistent state and inference accuracy within rollup environments.

Featured image from Shutterstock

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