2025-12-14 23:29:05

It seems that another AI crypto project has ended in failure. The initial idea of this project was to aggregate the GPU computing power of consumer devices (MacBooks, PCs, etc.) to provide computational services for AI models. Sounds good, right? But reality gave it a resounding slap — the project team eventually realized that this distributed computing model is completely unviable commercially. Why? The reason is quite painful: those massive internet data centers can provide computing power with far greater efficiency and at a much lower cost than imagined. Fragmented computing power from consumer devices, network latency, stability issues… these all create insurmountable barriers. This case might serve as a wake-up call for projects seeking innovation in the AI×Web3 space — the gap between technological ideals and business realities is often much larger than expected.

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zkProofInThePudding

· 2h ago

Another project that "sounds good" but dies in reality. Honestly, I'm tired of this kind of routine. Distributed computing sounds sexy, but the costs are crushing. Big tech data centers simply can't compete. That's why I never trust projects that hype Web3 and AI together; most of them won't survive past one funding round.

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faded_wojak.eth

· 5h ago

Another dream turned into reality, only to be brutally beaten by reality... Centralized data centers really dominate everything.

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LayerZeroJunkie

· 12-14 23:59

Another idealistic martyr, huh. The distributed computing power trick is just a bluff; it should have been shattered long ago. --- To be honest, the computing power of consumer-grade GPUs is really garbage, they can't compete with large factory data centers at all. --- It's always like this. Web3 people love to fantasize about overthrowing something, but reality gives them a slap in the face. --- That's why I never get involved in these kinds of projects. The risk is too high and there's no return. --- It feels like the founders didn't do the math from the beginning, and only now are they realizing what they're actually doing. --- Having great technology is useless if you can't make money; it's just a joke. This is the current state of Web3. --- I just want to know what those investors are thinking—such a big logical flaw? --- Another story fooled by hype; wake up, everyone.

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LiquidityWitch

· 12-14 23:59

Another project that sounds good on paper. Do they really think consumer-grade GPUs can overthrow data centers? --- I’ve been saying it all along, these kinds of things are a false proposition from the start. Wake up, everyone. --- Distributed computing sounds advanced, but when you look at the costs, latency, and stability, the truth is laid bare. Big capital has long since calculated the costs. --- Honestly, it’s still just a storytelling approach for financing. Ideals are ideals, but the economic realities are right here. --- Web3+AI isn’t just a matter of throwing concepts together; some are inherently opposed. --- Haha, yet another project that died at the “looks feasible” stage. But maybe it’s a warning for future entrants. --- Trying to do distributed computing with consumer devices? Dream on, and it’s not even cheap. The reality is this harsh.

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ProxyCollector

· 12-14 23:59

Another PPT dream shattered; decentralized computing power just can't be played out. Now I understand—technology is perfect, but if no one uses it, it's just a joke. Consumer-grade devices can't match the efficiency of data centers; that’s a different level. No matter how impressive the hype, it still has to benchmark against AWS and similar services—no hope. AI×Web3 is still just hype; how many are truly commercialized?

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DeFiGrayling

· 12-14 23:57

Uh... another dream shattered. The distributed computing power strategy really can't be played out. --- I've said it long ago, consumer-grade hardware is simply not enough; data centers outperform clearly. --- Tech geniuses always think about how to revolutionize, but forget the word 'cost'... --- That's why I never touch projects involving "decentralized computing power." It's too idealistic. --- Speaking of which, the efficiency and scale advantages of big companies are truly unbeatable. What can small players do? --- Losing money again? My friend invested in this, and he's probably ready to smash his screen now. --- The combination of Web3+AI sounds hot, but in reality, most are just PPT projects. --- The most awkward part of these projects is that the technical solutions sound super impressive, but once implemented, they are full of problems. --- Honestly, the decentralized computing power route might really need to wait for a complete technological breakthrough. --- Look, this is the gap between ideals and reality. It's a pity for those sincere developers.

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Whale_Whisperer

· 12-14 23:55

Another dream shattered, the argument that distributed computing power really doesn't work --- That's why I never chase after those "innovative" projects; centralized data centers are a better solution --- Consumer-grade devices dispersing computing power? Just listen, reality will teach you a lesson --- It seems Web3 always tries to use idealism to hard push against business logic, but in the end, it's repeatedly proven wrong --- It's about time to face reality; cool technology doesn't necessarily mean it can make money --- So, in the end, the infrastructure of big companies wins; distributed computing is always just an illusion --- This kind of failure case should definitely be studied more, to avoid jumping into the pit again

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NotFinancialAdvice

· 12-14 23:48

Here we go again. The story of "democratizing computing power" always ends up like this... Big tech data centers just dominate, there's nothing we can do.

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ImpermanentPhobia

· 12-14 23:45

Another project where dreams turn into reality, this time the dream of distributed computing power has been shattered. Once again, a "sexy-sounding" idea dies in the face of costs. The scale advantages of data centers are no joke. Using consumer-grade devices for computing power aggregation? That's overly optimistic; network latency and stability are major issues. This is why I always say that the most competitive aspect of AI encryption is the business model. There are many talented technologists, but few can actually make money. Once again, a wave of retail investors' hard-earned money has been tricked—classic Web3套路. The infrastructure cost optimization by big companies has reached this level; what can small projects do to compete? Frankly, it's just misaligned competition. See, this is the real crypto scene—half dreamers, half realists. Those still believing in distributed computing power should wake up; centralized solutions are the true way forward.

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