How long has it been since you properly looked at the candlestick charts? Recently, I've been paying less and less attention to the market, and instead, I've started pondering a more fundamental question: Can blockchain systems truly operate stably in the real world?
Thinking deeper, the answer is actually quite pessimistic.
The most vulnerable part of the entire ecosystem is often overlooked—not the smart contract vulnerabilities or flaws in execution logic, but the data itself. We've long been accustomed to a dangerous assumption: as long as the data is on the chain, it’s basically correct. But in reality? Quite the opposite.
Smart contracts, DeFi protocols, and the now ubiquitous AI agents all rely on external data. Once the input is skewed, even the most perfect execution merely amplifies the error tenfold or hundredfold.
This is why I’ve started paying attention to the Oracle component. Many people's understanding of Oracles still stops at "feeding prices"—which was sufficient during the early DeFi stage, mainly involving trading, lending, and liquidation. But now, it’s completely different.
The information that protocols need has exploded. It’s not just token prices, but also real-world events, user behavior signals, AI-generated results, governance votes, and even those fuzzy, incomplete, and non-objective pieces of information. Oracles now have to handle much more complex data.
What’s truly interesting is that the new generation of Oracles is beginning to shift their approach. They no longer want to be just a simple pipe—receiving a value and outputting a value. Instead, they are acting more like an understanding layer, helping on-chain systems comprehend what the data is, what it means, rather than just mechanically "receiving a number."
Their attitude towards "trust" is also becoming more realistic. The crypto space talks about minimizing trust all day long, but when it comes to data, human nature and experience can never be bypassed. The honesty of this aspect determines how far an Oracle can ultimately go.
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DefiPlaybook
· 18m ago
Damn, you're spot on. Oracle has really been seriously underestimated; everyone is busy speculating on coins, few people realize that data is the key.
A tiny mistake in input, and the entire system collapses. This isn't decentralization at all—it's really a trust issue that hasn't been solved.
The new generation of Oracle ideas have indeed shifted, but how far they can go is still uncertain. Human nature will always be the biggest variable.
Minimizing trust? Ha, that doesn't hold at all with Oracle.
If the data is skewed, even the most perfect contract is nonsense. I didn't think this deeply before, but now that you analyze it this way, it feels like the entire DeFi is extremely fragile.
The transition from feeding prices to understanding layers in Oracle is quite significant. It depends on whether future projects can truly make this work solidly.
Agreed. Instead of just watching K-line charts, it's better to think more about the underlying logic—that's the real way to survive long-term.
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GovernancePretender
· 12h ago
Data is always that lifeline, now I understand.
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The oracle part has indeed been seriously underestimated; it should have been valued earlier.
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What can I do if I entered the wrong? No matter how perfect, it's useless.
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Trust minimization? Haha, that's funny. In the end, it still depends on the people.
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The old price game is outdated. What we need now is much more complex.
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On-chain garbage goes in and garbage comes out; that's the real core issue.
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SoliditySurvivor
· 12h ago
Data on the chain is not wrong; this assumption should have been broken long ago. It's a bit late to realize it now.
Oracles are really seriously underestimated; many projects are still using the pricing logic from ten years ago.
Trust minimization has been talked about for so many years, but in the end, it still comes down to people, which is quite ironic.
Can on-chain systems run stably? Don't be silly, first get the data part sorted out.
Garbage input will inevitably produce garbage output; no matter how perfect the contract is, it can't save it.
AI agents consume data, DeFi consumes data, and now everything consumes data... this is the real risk point.
I didn't expect Oracle to transform from a pipe into an understanding layer; this shift in thinking is quite good.
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ForkTrooper
· 12h ago
I've seen through the game of watching the market for a long time. Now I just want to find a reliable Oracle to avoid getting scammed.
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OnchainHolmes
· 12h ago
Incorrect data input, no matter how perfect the logic, is useless. I increasingly agree with this point.
Oracle is really a severely underestimated link... Just feeding prices alone should have been put in a museum long ago.
The key issue is human nature, which cannot be completely eliminated, and decentralization cannot escape it.
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SerLiquidated
· 12h ago
Bad data goes in, and a liquidation drama comes out—that's the true picture of Web3.
If Oracle could truly understand the meaning of data, that would be impressive, but honestly, who would believe it?
The myth that on-chain data "never makes mistakes" should have been broken long ago; only through repeated losses do we realize the truth.
AI agents feeding data are even more outrageous—this is not the future; it's like blind men leading the blind off a cliff.
Human nature and experience are the biggest variables. The author is right about that; the idea of trust minimization is nonsense.
From feeding prices to understanding data, Oracle is essentially just patching historical gaps under a fancy guise.
Those still fixated on K-line charts haven't thought this through—basically, the input source itself is toxic, and no matter how smart the contract, it can't save itself.
I'm increasingly convinced that this system is not as stable as imagined—it's so fragile that a single data point can cause a total collapse.
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GweiWatcher
· 12h ago
Data layer is the real black hole; no one wants to admit it.
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I'm also paying attention to the evolution of Oracle, but the problem is, who guarantees that the understanding layer itself won't make mistakes?
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Honestly, it's still a trust issue; layering a new skin doesn't change that.
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I've long thought that on-chain does not equal reality, and now someone finally dares to point out this flaw.
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No matter how perfect the chain is, it can't save the fate of garbage in, garbage out.
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The idea of a new Oracle doing a "understanding layer" is actually just a patch; the root cause can't be changed.
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Real-world events, ambiguous information... this makes me more pessimistic, as it's completely introducing subjectivity onto the chain.
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The early DeFi price feeding system was fragile enough; now they want to rely on AI-generated results? That's really daring.
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So after all that, it still comes down to human judgment; the idea of minimizing trust is just a joke.
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Input garbage ten or a hundred times, and it gets amplified—that's the ceiling of blockchain systems.
How long has it been since you properly looked at the candlestick charts? Recently, I've been paying less and less attention to the market, and instead, I've started pondering a more fundamental question: Can blockchain systems truly operate stably in the real world?
Thinking deeper, the answer is actually quite pessimistic.
The most vulnerable part of the entire ecosystem is often overlooked—not the smart contract vulnerabilities or flaws in execution logic, but the data itself. We've long been accustomed to a dangerous assumption: as long as the data is on the chain, it’s basically correct. But in reality? Quite the opposite.
Smart contracts, DeFi protocols, and the now ubiquitous AI agents all rely on external data. Once the input is skewed, even the most perfect execution merely amplifies the error tenfold or hundredfold.
This is why I’ve started paying attention to the Oracle component. Many people's understanding of Oracles still stops at "feeding prices"—which was sufficient during the early DeFi stage, mainly involving trading, lending, and liquidation. But now, it’s completely different.
The information that protocols need has exploded. It’s not just token prices, but also real-world events, user behavior signals, AI-generated results, governance votes, and even those fuzzy, incomplete, and non-objective pieces of information. Oracles now have to handle much more complex data.
What’s truly interesting is that the new generation of Oracles is beginning to shift their approach. They no longer want to be just a simple pipe—receiving a value and outputting a value. Instead, they are acting more like an understanding layer, helping on-chain systems comprehend what the data is, what it means, rather than just mechanically "receiving a number."
Their attitude towards "trust" is also becoming more realistic. The crypto space talks about minimizing trust all day long, but when it comes to data, human nature and experience can never be bypassed. The honesty of this aspect determines how far an Oracle can ultimately go.