2026-01-14 11:38:16

The upper limit of an AI system's capabilities is often determined by data quality. If the source data is not up to standard, no matter how complex the algorithm, it will be difficult to break through the bottleneck.

Walrus has put a lot of effort into the underlying architecture—ensuring data verifiability, provability, and trustworthiness through on-chain mechanisms. What are the benefits of doing this? It allows AI to not only run fast but also run stably and be used with confidence.

A reliable data infrastructure is becoming the key competitive advantage for the next generation of AI applications.

WAL1,34%

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fomo_fighter

· 10h ago

Data quality is indeed a bottleneck, and Walrus's approach is quite interesting.

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APY追逐者

· 10h ago

Data quality is the key; the concept of garbage in, garbage out has long been proven in the AI community. Walrus's on-chain mechanism sounds reliable, and finally someone is taking infrastructure seriously.

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RugPullAlertBot

· 10h ago

Data quality is indeed the bottleneck here. The Walrus approach is quite good. No matter how advanced the algorithm is, without good data, it's useless. Truly. On-chain verification feels like the right way to address trust issues.

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GasFeeSobber

· 11h ago

The ceiling of data quality has really stifled many projects. The Walrus approach hits the pain point quite well. On-chain verifiability is quite interesting to me, but whether it can be practically implemented depends on if real-world applications can keep up.

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BearMarketBuyer

· 11h ago

Data quality is indeed the bottleneck, and Walrus's on-chain verification system makes it quite interesting.

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GateUser-26d7f434

· 11h ago

Data quality is really the ceiling; garbage in, garbage out. Walrus's on-chain verification approach is quite interesting.

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CircumferenceCommunityShooting

· 11h ago

Data quality bottleneck, you’re absolutely right. Walrus’s on-chain verification approach is indeed interesting; finally, someone is taking infrastructure seriously. --- In simple terms, someone needs to guard this gate well, or else even the most advanced algorithms are just garbage in, garbage out. --- What’s the use of speed? Stability is the real king. That’s the true moat. --- Reliable data infrastructure... sounds simple, but actually implementing it is a hell of a challenge. --- Another project aiming to disrupt AI—let’s see if it can survive this cycle first. --- Feels like they’re saying that the "trust issue" in Web3 will ultimately be solved by the chain? Quite interesting. --- If the underlying layer isn’t done well, then no matter how fancy the applications are above, they’re just paper tigers.

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NFTArchaeologist

· 11h ago

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