2026-01-17 15:35:07

Messari's latest report highlights a real-world dilemma: AI models perform perfectly in laboratories, but once they enter the complex and chaotic real world, their true nature is revealed. The core issue lies in data—existing training data is far from sufficient, and its quality varies greatly. To make AI truly reliable and applicable, massive and verifiable real-world data has become an inevitable requirement.

This is the deep reason behind the hot trend of "decentralized AI." Unlike traditional AI monopolized by a few large corporations, this new framework focuses on physical data and on-chain verification. Through the distributed nature of blockchain, it is possible to aggregate vast amounts of real-world data globally while ensuring transparency and traceability. This model not only solves the data scarcity problem in AI training but also returns data ownership and revenue rights to data providers.

In other words, blockchain is not only reshaping finance but also redefining the future form of AI—from a centralized black box to a transparent, verifiable, and profit-sharing new ecosystem.

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GasFeeCrier

· 4h ago

Honestly, in the lab, everything runs under ideal conditions, but once it hits the production environment, it often fails. I've seen this happen too many times. Poor data quality is indeed a pain point, but can decentralized AI truly solve it? It still feels somewhat idealistic. Blockchain verification sounds promising, but I wonder who will define what constitutes "real data"... If this wave can return data ownership to the providers, it would indeed be a revolutionary change, but the prerequisite is that capital doesn't ruin it again.

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TideReceder

· 4h ago

Basically, large models are still paper tigers. They fall apart when faced with real-world applications. The issue of data quality should have been addressed long ago. I think the decentralized AI approach makes a lot of sense. Can this time really provide dividends to data providers? Don't get exploited by capital again.

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BagHolderTillRetire

· 4h ago

Basically, data is king. Whoever has access to real data wins. However, the logic of decentralized AI sounds great, but whether it can be practically implemented remains uncertain. Can data providers really earn profits? I have my doubts. Most of it is just armchair strategizing; let's wait until there are killer applications before judging. Are Messari's reports reliable? Recently, these kinds of reports have been quite inflated. It's still just a way to harvest retail investors, wrapping AI and blockchain in a shell. If true decentralization were possible, how would large model companies survive...

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ShibaOnTheRun

· 4h ago

The uneven data quality is really a pain point. Large models are now just built by stacking data; garbage in, garbage out. Decentralization sounds good, but can it truly incentivize small retail investors to upload data? It still depends on how the tokenomics is designed. The gap between laboratory perfection and real-world failure has been obvious to us for a long time. It all depends on who can truly fill this gap.

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MergeConflict

· 4h ago

That's right, the current big models lack data, and feeding them poor quality data is useless no matter how much you provide. Decentralization is indeed interesting, allowing data providers to truly benefit, unlike now where big companies exploit data for free. Wait, on second thought, is this verification mechanism really reliable, or is it just another round of hype?

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AirdropChaser

· 4h ago

Sounds nice, but after the data is on the chain, isn't it still being drained by large models? Let's see if decentralized AI is just a pie or real innovation. I've heard this logic too many times, but what’s the result? If blockchain verification is so powerful, why is AI still like this now? I think it's probably just a new trick to scam retail investors.

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