The real driver behind sustainable AI isn't model scale or benchmark dominance—it's the continuous data pipeline feeding the system post-deployment. Once a model goes live, what matters is that steady stream of fresh, relevant data keeping it sharp and useful. Without it, even the most impressive architecture becomes stale. That's the unglamorous truth nobody talks about.
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MoodFollowsPrice
· 16h ago
Data pipelines are the real bottleneck; everyone wants fancy large models but no one wants to maintain them.
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MetaverseLandlady
· 16h ago
Basically, it's just feeding data nonstop so that the model can stay alive.
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FlashLoanLarry
· 16h ago
ngl this is the actual tea nobody wants to hear... model size is just marketing fluff, the real opex sink is maintaining that data pipeline. it's like having a lamborghini that runs on expensive fuel—the car's worthless if you can't keep feeding it
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MEVHunterX
· 16h ago
Data is king, the whole idea of model scale should have been discarded long ago.
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ExpectationFarmer
· 16h ago
Data pipelines are the key; having a good-looking model architecture is useless without continuous fresh data feeding, it's just a display.
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RugPullAlertBot
· 16h ago
Data feeding is the key, just stacking parameters has long been outdated.
The real driver behind sustainable AI isn't model scale or benchmark dominance—it's the continuous data pipeline feeding the system post-deployment. Once a model goes live, what matters is that steady stream of fresh, relevant data keeping it sharp and useful. Without it, even the most impressive architecture becomes stale. That's the unglamorous truth nobody talks about.