Centralized AI is hitting the same wall Web2 ran into—power concentrating in the hands of a few, everyone else paying for access.
Here's the thing: training these models requires massive datasets. One entity controlling that data pipeline? That's a monopoly waiting to happen. The compute side doesn't have to follow the same path though.
You can distribute computational work across independent nodes instead of locking it into mega data centers. Let global data feed the models, but spread the processing load. That's where things get interesting for Web3 infrastructure.
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MetaverseMortgage
· 2h ago
It's a familiar topic again—still the centralized approach... But to be honest, distributed computing is indeed interesting. However, can it really be implemented?
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SurvivorshipBias
· 6h ago
Is it the same old story? Centralized AI is just Web2 with a new coat, data oligarchs call the shots, and we still have to pay.
Distributed computing definitely has potential, but the key question is who will maintain all these nodes...
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GigaBrainAnon
· 01-08 18:57
NGL, centralized AI is just a replica of Web2. Data bottlenecks are the most annoying, and decentralized computing is the real interesting path.
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DuskSurfer
· 01-08 18:55
It's the same old story. Centralized AI is just like Web2—power concentrated in the hands of a few big players, and we all have to pay the price.
Distributed computing power does have potential, but data sources are still the bottleneck. Who dares to say they can truly break the monopoly?
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NestedFox
· 01-08 18:36
It's the same old story again, the big companies monopolizing data... but the idea of distributed computing layers is indeed worth exploring.
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MemeTokenGenius
· 01-08 18:36
Here we go again, the old trick of centralized AI—just a different name for the Web2 approach.
Data monopoly is indeed trash, but truly decentralized computing? Sounds very sexy, but in practice, I don't know.
Web3 infrastructure is still in the pie-in-the-sky stage, so don't be too optimistic, brother.
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SadMoneyMeow
· 01-08 18:36
It's the same centralized approach again. Can't you learn? OpenAI should have been split up long ago.
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FlashLoanPhantom
· 01-08 18:29
NGL, this is something Web3 must get right; otherwise, AI will truly be tied down by a few big corporations.
Centralized AI is hitting the same wall Web2 ran into—power concentrating in the hands of a few, everyone else paying for access.
Here's the thing: training these models requires massive datasets. One entity controlling that data pipeline? That's a monopoly waiting to happen. The compute side doesn't have to follow the same path though.
You can distribute computational work across independent nodes instead of locking it into mega data centers. Let global data feed the models, but spread the processing load. That's where things get interesting for Web3 infrastructure.