I thought most AI projects were trying to make models smarter.

After reading more about @NewtonProtocol, I realised they seem to be focused on something different.

They are trying to make AI actions executable onchain.

That sounds small at first, but maybe it changes a lot.

If an AI agent opens a trade, moves funds or follows a strategy, someone eventually asks the same question:

"How do I know the AI actually did what it said it would do?"

Without proof, users are basically trusting screenshots and promises.

That is why the idea of Newton Mainnet Beta caught my attention.

Instead of only building AI tools, they seem to be building infrastructure where AI actions can be verified, settled and executed inside a secure environment.

Maybe that matters more than making another model 2% smarter.

I could be wrong, but I feel the next AI race might be less about intelligence and more about trust.

Curious what others think.

Will users care more about smarter AI or verifiable AI actions over the next few years?

@NewtonProtocol l $NEWT #Newt
#AI #crypto