The last day of 2025 is about to turn the page, and 2026 is about to begin.



Recently, AI agents have sparked a wave of enthusiasm in DeFi and financial systems, with everyone racing — whose model is faster, whose performance is stronger. But there is a commonly overlooked issue: once the system makes a mistake, who will pay the price?

The traditional answer is "Just trust me." But some projects offer a different approach — let mathematics do the talking. Instead of relying on promises to maintain trust, it's better to have every decision backed by cryptographic proof. The idea of verifiable computation turns each operation of the agent into a transparent, traceable data record. As a result, the risk shifts from "I trust a certain team" to "I trust mathematics."

This shift may seem subtle, but it fundamentally changes the entire game.
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AirdropNinjavip
· 9h ago
Basically, it's an upgrade of the blame-shifting mechanism, from "Trust Me" to "Trust Cryptography." Sounds sophisticated, but it's still the same old story. Who is responsible when the math bugs out? Another wave of projects making empty promises.
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ForkThisDAOvip
· 9h ago
This is exactly what I want to see, much more reliable than those projects that only boast.
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PumpDoctrinevip
· 9h ago
Can't we just keep it simple? Mathematical proofs sound pretty empty and虚的 This is the real deal; cryptography backing isn't anything new, right? Verifiable computation and transparent decision-making—sounds good, but when real problems happen, who pays? Relying on AI to救市 in 2026? First, manage the risks well before吹牛 From "Trust me" to "Trust mathematics," in the end, you still have to trust some coder brother
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