❤️ Sharing Today's Newton Article
A good article regarding Newton was posted, so I brought a summary of the content.
🟣 The Moment Blockchain Hits Its Limits
Blockchain is fundamentally a structure designed to enable collaboration even without mutual trust.
However, the situation changes the moment private data is required.
Risk models, blacklists, user information, and compliance are essential data for actual decision-making, but due to their private nature, they cannot be uploaded directly onto the blockchain.
Ultimately, critical operations take place off-chain, resulting in a structure where it becomes difficult to fully utilize the advantages of blockchain.
🟣 A Misconfigured Problem
Until now, the approach has mostly focused on "How can we share data more securely?"
However, this article states the following:
The question itself was wrong from the start.
🟣 What Is Needed Is Results, Not Data
When you think about it, the point is simple.
What we need when collaborating is not data, but the results of judgments.
There is no need to know why something is dangerous; one only needs to know if it passed the policy.
There is no need to know how the supply chain is structured; one only needs to know if the conditions were met.
Regardless of the process, the simplest and most necessary thing is for only reliable results to be produced.
Therefore, what we must trust is not the data, but the verified judgment results.
🟣 How Newton Protocol Solves This Problem
Newton does not share data.
With each party holding their own data, they conduct evaluations based on policy standards and leave the results on-chain.
Previously, protecting privacy blocked collaboration, while collaboration required data disclosure. However, with the advent of Newton, it has become more convenient; now, even without sharing data, judgments can be made based on the same standards, and only the results need to be verified.
Furthermore, based on these verified results, various forms of collaboration become possible, such as fraud response between competing services, compliance between financial institutions, and supply chain verification.
In short, the core idea is that collaboration becomes possible even without data.
🟣 Why It Is Important
This approach is not merely about improving privacy, but a method that changes the structure itself. Previously, the scope of on-chain processing was inevitably limited the moment private data was required.
However, Newton resolved this limitation by verifying decisions without disclosing data, thereby expanding the very scope of what can be handled on-chain.
For those of you who dislike long texts, here is a summary:
Newton expands the scope of on-chain processing by enabling verification and collaboration based on decision results, even without data.
Isn't that mind-blowing? This is our Newton.
🔗 Original Article
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