@NewtonProtocol Everyone is excited about AI agents that can trade, optimize yield, and automate DeFi strategies. But I think the bigger question is what happens after the AI makes a decision.
Who controls the execution? Can users verify it? Are permissions limited, or does the AI have more access than it should?
That's why Newton Protocol caught my attention. Instead of competing to build another AI model, it's focused on creating a secure execution layer where AI can operate within programmable rules rather than unlimited permissions.
To me, that's a much stronger approach. Smart AI is valuable, but secure and transparent execution is what builds long-term trust. If AI is going to manage real assets onchain, users need confidence that every action happens within clear, predefined boundaries.
The future of AI in crypto won't be shaped only by smarter models. It will also depend on the infrastructure that makes AI accountable, predictable, and safe to use.
That's why Newton Protocol is a project I'm following closely.
@NewtonProtocol #Newt $NEWT
$BIRB
$TAIKO
Who controls the execution? Can users verify it? Are permissions limited, or does the AI have more access than it should?
That's why Newton Protocol caught my attention. Instead of competing to build another AI model, it's focused on creating a secure execution layer where AI can operate within programmable rules rather than unlimited permissions.
To me, that's a much stronger approach. Smart AI is valuable, but secure and transparent execution is what builds long-term trust. If AI is going to manage real assets onchain, users need confidence that every action happens within clear, predefined boundaries.
The future of AI in crypto won't be shaped only by smarter models. It will also depend on the infrastructure that makes AI accountable, predictable, and safe to use.
That's why Newton Protocol is a project I'm following closely.
@NewtonProtocol #Newt $NEWT
$BIRB
$TAIKO