Many people, when analyzing @NewtonProtocol , tend to compare metrics like TPS and transaction speed. But I’m increasingly of the opinion that in the era of AI Agents, speed may no longer be the decisive factor. #NEWT
What truly affects the user experience is whether the execution results are worth trusting. If an Agent can complete tasks quickly but can’t prove that every step aligns with the user’s intent, then the higher the efficiency, the greater the risk.
Newton’s approach—verify first, then execute—essentially addresses a new trust problem introduced by the automation era, rather than continuing the performance arms race.
This design holds different value for different users. Ordinary users want their assets to be safer; development teams want to reduce redundant work; and institutions care more about whether the entire process is verifiable and traceable. If the verification network keeps improving, ecosystem applications will increasingly rely on it.
However, there’s a question worth pondering: as the network grows, can verification costs remain competitive? If costs keep rising, will developers still be willing to integrate? Ultimately, these real-world issues will all feed back into the long-term value of $NEWT .
So I think it’s better to discuss whether Newton can become the trust layer of future automation networks, rather than whether it’s fast. Real infrastructure may not be the most eye-catching, but it’s the hardest to replace.
Do you think the core of future public-chain competition will shift from performance to trust?
What truly affects the user experience is whether the execution results are worth trusting. If an Agent can complete tasks quickly but can’t prove that every step aligns with the user’s intent, then the higher the efficiency, the greater the risk.
Newton’s approach—verify first, then execute—essentially addresses a new trust problem introduced by the automation era, rather than continuing the performance arms race.
This design holds different value for different users. Ordinary users want their assets to be safer; development teams want to reduce redundant work; and institutions care more about whether the entire process is verifiable and traceable. If the verification network keeps improving, ecosystem applications will increasingly rely on it.
However, there’s a question worth pondering: as the network grows, can verification costs remain competitive? If costs keep rising, will developers still be willing to integrate? Ultimately, these real-world issues will all feed back into the long-term value of $NEWT .
So I think it’s better to discuss whether Newton can become the trust layer of future automation networks, rather than whether it’s fast. Real infrastructure may not be the most eye-catching, but it’s the hardest to replace.
Do you think the core of future public-chain competition will shift from performance to trust?