Current AI development has hit a ceiling—but not where most people think. The real constraint isn't model architecture. It's the messy part: how data gets collected, how it's validated, and what incentives drive the whole system. That's where the friction lives. Perceptron Network is directly tackling this foundational layer, attacking the data problem at its core rather than chasing incremental model improvements.
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SerumDegen
· 2h ago
data infrastructure is where the real alpha lives, not in the next token prediction bump. everyone's chasing model gains while the supply chain's completely rekt lol
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MeltdownSurvivalist
· 2h ago
Data has indeed been an overlooked pain point; everyone is competing over parameters and computing power, but who cares about data quality?
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FrogInTheWell
· 2h ago
The issue with the data layer has indeed been overlooked for too long, and the Perceptron approach is quite on point.
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OnChainSleuth
· 2h ago
Haha, finally someone got it right. The data layer is the real bottleneck.
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FreeRider
· 2h ago
Wow, someone finally hit the nail on the head. Data is the real bottleneck.
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FlashLoanLord
· 2h ago
Data is the key, I've seen through this long ago. Perceptron made the right move.
Current AI development has hit a ceiling—but not where most people think. The real constraint isn't model architecture. It's the messy part: how data gets collected, how it's validated, and what incentives drive the whole system. That's where the friction lives. Perceptron Network is directly tackling this foundational layer, attacking the data problem at its core rather than chasing incremental model improvements.