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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SleepTrader

· 01-20 14:18

This is why I am optimistic about decentralized AI; data democratization has been long overdue. The lab's perfect implementation collapsed—this is too real; all the large models are like this. It's another story of a big company's monopoly being broken, but this time I believe it. Basically, data providers can finally make money—that's the real innovation. How to ensure quality is inconsistent? Is on-chain verification reliable? Decentralized AI is still too advanced; in the short term, it's hard to see how it will be implemented. Maybe I overhyped it; transforming AI with blockchain isn't that simple. The issue of data scarcity is correctly pointed out, but how to efficiently train with dispersed data is a tough problem. Finally, someone explained it thoroughly: centralization is indeed the ceiling for AI development. Profit rights returning to providers—this logic makes sense, but how to design the incentive mechanism?

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LiquidatedThrice

· 01-18 09:59

Oh, come on, there's nothing wrong with that. The set in the laboratory is indeed not resistant to attacks. The issue of poor data quality has long been overdue for disruption by big companies' monopolies. Decentralized AI still depends on practical implementation; just talking on paper isn't enough. Wait, the return of data ownership... isn't that what we've been wanting all along? Interesting, we'll keep observing, but don't get sidetracked again, okay? Solving the data scarcity problem is the key to making AI truly useful. Right now, we're stuck at this point. Centralized black boxes should really be shattered; transparency and verification are the right directions. Hmm, decentralized AI + blockchain—this combination might really make a difference. It's a common topic, but the key is who can truly implement this set effectively.

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tokenomics_truther

· 01-18 08:52

Basically, large models are all paper tigers now; without good data, everything is useless. The logic of decentralized AI indeed hits the pain points, but can it really be implemented? I'm a bit skeptical. It's about time to break the monopoly of big corporations. Why should data producers be just used and not rewarded? This time, blockchain seems to have found its true use case... Hopefully it's not just another hype.

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GasFeeCrier

· 01-17 16:04

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

· 01-17 16:02

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

· 01-17 16:02

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

· 01-17 15:56

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

· 01-17 15:53

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

· 01-17 15:46

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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