You connect a wallet to an AI strategy tool, only wanting it to do small test trades. The authorization pop-up often gets dismissed in a single sentence; after you click, it may be able to move far more assets than you expected. What really makes people nervous isn’t that the AI is slow—it’s that the permissions you give away are too broad.

In today’s hot list at rank 5, Jason_Leo framed the issue like something an old user would ask: “Everyone seems focused on making AI agents faster, smarter,” but the fact that AI can execute trades doesn’t mean it should have unlimited authority. He also focuses on the Newton Protocol because it doesn’t treat security as an afterthought.

This is different from ordinary AI narratives. Most projects talk about model capabilities and automated trading efficiency; the first problem in getting money on-chain is authorization. Without an amount limit, address whitelisting, time windows, and a revocation path, the more the AI executes, the more quickly it can make wrong actions.

Newton Protocol’s approach is to put the authorization policy before transaction execution. Rego checks the rules; only when conditions are met does it generate an attestation that allows execution to proceed—otherwise, it rejects it. Newton Mainnet Beta isn’t just a milestone in words; it tests these constraints in a real-money environment.

So the developer value of $NEWT shouldn’t be judged only by Magic Labs’ background or the SDK name. #Newt should instead be measured by whether integration requires fewer authorization patches, whether the VaultKit policy can be configured, and whether every AI operation has a verifiable attestation proving it was allowed. @NewtonProtocol