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- The Verifiable Automation Layer for Web3 Powered by Magic Newton
Verifiable through Zero-Knowledge Proofs (ZKPs) and Trusted Execution Environments (TEEs) Incentivized — operators earn rewards for accurate task execution and are penalized for dishonest
- Magic Newton: The Trust Layer for Autonomous, AI-Driven . . .
Explore Magic Newton's AI-driven crypto automation platform combining trusted execution environments and zero-knowledge proofs for secure, verifiable DeFi operations
- PayPal Ventures-Backed Magic Labs Reveals Verifiable Crypto . . .
Now, the team says, Magic Newton utilizes trusted AI automation to enhance crypto UX It provides a “simple command center” to replace handling multiple complex interfaces Users instruct AI agents on what they want to accomplish The agent will find the best way to do it within what’s permitted
- Newton Protocol: Verifiable Automation Layer for Onchain Finance
Newton Protocol introduces verifiable automation: a system where even offchain actions can be audited and enforced using zero-knowledge proofs (ZKP) and trusted execution environments (TEEs) This gives users the ability to delegate intent without sacrificing control or trust
- Magic Newton Beginners Guide: From registration to earning . . .
This is the core protocol behind Magic Newton—Newton Protocol, a powerful system that combines AI automation, zero-knowledge proofs (ZKPs), and trusted execution environments (TEEs) In simple terms, what it wants to do is: You set your goals (e g , 'weekly investment in USDC')
- PayPal Ventures-backed Magic Labs launches Newton, a platform . . .
Each action is executed in a Trusted Execution Environment (TEE) and verified via zero-knowledge proofs, ensuring both proactive control and retroactive accountability How the ecosystem
- Magic Labs Introduces Newton Platform for Secure AI-Driven . . .
How Newton Works Built on the Newton Protocol, a purpose-specific rollup, the platform combines automation with verifiability Key features include: Trusted Execution Environment (TEE): Ensures agents act within approved parameters Zero-Knowledge Proofs: Provides cryptographic guarantees for accountability
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