The Next Big Wave in Crypto x AI: Zero-Knowledge ML (ZKML)

Crypto, Distilled introduces the concept of Zero-Knowledge ML (ZKML), which allows smart contracts to securely query AI models on-chain.
Upcoming ZKML projects include @ModulusLabs, @HyperOracle, @heurist_ai, @gizatechxyz, and @axiom_xyz, each offering unique solutions and use cases within the crypto and AI space.
These projects aim to bring secure AI capabilities, verification of AI results, smart contract oracles, decentralized AI model hosting, interoperability with dApps, and low-cost on-chain data access to the Ethereum network.
#ModulusLabs #ETH #MATIC #TIA #SOL #HyperOracle #heurist_ai #gizatechxyz #axiom_xyz
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What’s The Next Big Wave In [Crypto x AI]?
By now, you’ve probably heard about AI agents, AI L1s, AiDeFi, Inferencing, GPUs, and so on.
Time to level up with Zero-Knowledge ML (ZKML).
Simply, ZKMLs allow smart contracts to securely query AI models, bringing AI on-chain.
Upcoming ZKML Projects:

1. @ModulusLabs: uses cryptography to verify that AI results weren’t doctored.

Backed by big names like the $ETH Foundation, $MATIC, $TIA, $SOL & Microsoft.

1. @HyperOracle: a zK oracle makes smart contracts smarter using on-chain AI.

It uses optimistic ML (opML) to enable large ML models to operate on Ethereum.

1. @heurist_ai: L2 network for AI model hosting & inference, built upon ZK Stack.

Server-less access to open-source AI models via a decentralized computing network.

1. @gizatechxyz: interoperability framework that integrates ZKML with dApps.

Build reliable, scalable and easy to integrate AI solutions and ML products for web3.

1. @axiom_xyz - low-cost, extensive on-chain data access, secured by ZK tech.

Supports computing over the entire history of $ETH, verified by ZK proofs on-chain.
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