2026-01-02 01:23:18

A harsh reality is staring us in the face: no matter how smart smart contracts are, they are useless if fed with fake data—they instantly become tools for malicious activities. Blockchain itself is a closed environment and cannot perceive what happens outside the chain. External data, however, is crucial in determining whether DeFi, prediction markets, and other applications can truly be implemented.

Traditional oracle solutions have a fatal flaw—relying on a single node as a data gateway, like a supply line that can be easily cut off. Now, some new oracle protocols are exploring an alternative approach: building decentralized data networks that gather information from multiple independent sources simultaneously. After multiple rounds of validation, cross-checking, and even AI-based data cleaning, data is allowed to be on-chain. Instead of simply "feeding data," it’s more like a strict "data verification process."

In practical applications, these protocols usually offer two modes of operation. One is proactive push: price fluctuations, match results, events—delivered to the chain within milliseconds, suitable for high-frequency trading and real-time settlement scenarios. The other is on-demand pull: project teams use what they need, paying only for what they use, making costs more controllable. This allows developers to access off-chain data as easily as calling a regular API, eliminating worries about latency and reliability.

There are also two technical highlights worth noting. First is the pre-emptive AI risk control layer—automatically scanning for anomalies and filtering suspicious sources before data is on-chain, effectively giving each data point a full health check. Second is the verifiable random number mechanism, ensuring that the randomness in distributed processes is truly random and cannot be manipulated by a single node.

The core logic of this approach is quite clear: since blockchain cannot change the external world, it’s better to process external information more robustly before bringing it on-chain.

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screenshot_gains

· 6h ago

Still the same old problem, the oracle part is like a never-ending loophole that can't be patched Data falsification can blow up the entire ecosystem in just one second. This new solution sounds good, but can it really be implemented? Multi-source verification sounds stable, but I'm worried it might just be all talk API-based calls are fine, but the key is whether the cost can be reduced The AI risk control layer needs to be truly reliable, or it will just be old wine in new bottles Verifiable random numbers are interesting, at least they prevent single points of malicious behavior We still have to wait until it goes live to see if it can truly solve the oracle problem No matter how good it sounds now, it's all talk until proven in practice This entire process will likely increase gas fees quite a bit

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GasFeeNightmare

· 6h ago

It's another issue with oracles... It sounds nice, but how many can truly be trusted? I actually want to ask about the Gas costs for that AI risk control layer—it's supposed to be pulled on demand, which sounds cheap, but how does it actually perform in practice?

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rugpull_survivor

· 6h ago

Basically, it's garbage in, garbage out. No matter how fancy the contract is, it can't be saved. Wait, can this oracle truly prevent a 51% attack? Or is it just another system that sounds impressive but is actually full of vulnerabilities? Poison testing process? Bro, I just want to know who will verify these validators... Multi-source data sounds great, but the real question is whether they will all run away at critical moments—that's the real issue. On-demand pulling mode is interesting; it's more reliable than those one-size-fits-all solutions. By the way, is this thing's cost really controllable, or is it just another big spender eating up bandwidth fees?

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ForkTrooper

· 6h ago

The oracle problem of oracles can never be completely solved. More layers of verification only reduce risk; they don't fundamentally resolve the issue. --- It still feels like patching decentralization issues with centralized thinking—treating the symptoms rather than the root cause. --- Multi-source data + AI cleaning sounds good, but who verifies that AI itself hasn't been manipulated? That's a nested problem. --- On-demand pulling mode is indeed attractive; finally, someone is considering the cost aspect. --- Basically, it's just moving the "garbage in, garbage out" curse from on-chain to off-chain—nothing revolutionary. --- Verifiable random numbers are indeed interesting; they seem much more reliable than previous solutions. --- Anyway, I don't trust a single oracle; it depends on who in the ecosystem is actually using this stuff.

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MEVHunter_9000

· 6h ago

Oracles are really a deep pit, to be honest, it's just garbage in, garbage out. --- Decentralized data sources sound good, but it feels like a new arms race. How long can it last? --- Wait, AI risk control layer cleaning data? Isn't that just trust issues with a different mask... --- Proactive push and on-demand pull dual modes are indeed clever, much better than the previous single point of failure setup. --- The question is, can these new protocols really withstand 51% attacks, or do they just look decentralized? --- The detoxification process is fine, but will developers really be willing to pay more for data reliability? That's the key. --- By the way, which is currently the most stable oracle solution on the market? This article didn't mention... --- Multi-source verification + AI algorithms, sounds like stacking concepts, but no one has said how usable it actually is. --- Off-chain data is the Achilles' heel of DeFi. Is there really a solution this time, or is it just reheated old ideas?

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