The gap between AI research progress in 2026 and zero-knowledge proof advances from 2021 is massive—honestly, it's not even comparable anymore. What's wild is how every minor algorithmic tweak or optimization now gets dressed up in sophisticated academic terminology. The speed of iteration in AI has completely outpaced the research cycle we saw with ZK tech a few years back. Small incremental improvements that would've gone unnoticed now come wrapped in fancy papers and formal frameworks. It's a reflection of how much resources and attention have shifted into the AI space.
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OnChainDetective
· 3h ago
ngl the academic papering-over of incremental gains is sus... traced the narrative shift through citation patterns and it's wild how marketing wrapped in formalism just passes as "research" now. classic resource concentration signature tbh
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MetaMaximalist
· 14h ago
ngl the zk summer was cute but yeah, ai just ate everyone's lunch. those papers back then actually meant something tho—now it's just marketing wrapped in arxiv. the resource asymmetry is insane, no competition
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GasFeeAssassin
· 14h ago
AI has indeed taken off this time, and that zk set has long been ignored.
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FOMOSapien
· 14h ago
ngl AI has truly crushed zk this time, and the entire narrative has changed.
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PessimisticOracle
· 14h ago
AI is just constantly packaging itself now; no matter how fancy the papers are stacked, it's still the same thing.
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ChainPoet
· 14h ago
Really, the ZK approach has long been surpassed by AI. Now even a small optimization requires wrapping it in a fancy paper shell, making it look like a breakthrough.
The gap between AI research progress in 2026 and zero-knowledge proof advances from 2021 is massive—honestly, it's not even comparable anymore. What's wild is how every minor algorithmic tweak or optimization now gets dressed up in sophisticated academic terminology. The speed of iteration in AI has completely outpaced the research cycle we saw with ZK tech a few years back. Small incremental improvements that would've gone unnoticed now come wrapped in fancy papers and formal frameworks. It's a reflection of how much resources and attention have shifted into the AI space.