Fully Homomorphic Encryption (FHE) has been a hot topic recently. The core question is: from a purely technical perspective, can FHE truly solve the privacy leakage dilemmas in AI model training and inference?
This is not just an academic issue. Once FHE can break through performance bottlenecks in practical applications and support large-scale AI computations running in encrypted states, the imagination space for on-chain privacy computing will open up — completely reconstructing data protection and model security.
From another perspective, if the technical route is indeed feasible, is the current market valuation system still stuck in the conceptual stage when it comes to such infrastructure projects? Has the long-term value potential of privacy computing solutions based on real technological breakthroughs been fully recognized?
It seems worth discussing this in more depth.
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RektButStillHere
· 19h ago
FHE sounds pretty sexy, but honestly, when will the performance really improve? Feels like just pie in the sky.
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OnChainArchaeologist
· 19h ago
FHE sounds very advanced, but why is it so difficult to overcome the performance barrier?
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liquidation_watcher
· 19h ago
Performance bottleneck hasn't been truly broken through yet, claiming FHE now is a bit too early.
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SoliditySlayer
· 19h ago
FHE sounds very ideal, but can the performance hurdle really be overcome? It feels like just hype.
But on the other hand, if privacy computing can truly run on-chain, the valuation system definitely needs to be re-evaluated.
Why do I always feel like these infrastructure projects are betting on tomorrow?
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SundayDegen
· 19h ago
FHE sounds awesome, but can it really pass the performance test? Feels more like armchair strategy.
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ProposalDetective
· 19h ago
FHE is still mostly theoretical at this point, and the performance barrier is really harder to overcome than expected.
The optimistic view is that privacy computing is the future, but the harsh reality is that it's still in the laboratory stage... However, if a real breakthrough happens, it would indeed be valuable.
The valuations of these projects in the market... Hey, it feels like they're betting on technological breakthroughs, not on practical applications.
When will this stuff actually be usable? I'm so anxious.
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UnruggableChad
· 19h ago
FHE always sounds great, but when will we truly overcome the performance barrier?
Fully Homomorphic Encryption (FHE) has been a hot topic recently. The core question is: from a purely technical perspective, can FHE truly solve the privacy leakage dilemmas in AI model training and inference?
This is not just an academic issue. Once FHE can break through performance bottlenecks in practical applications and support large-scale AI computations running in encrypted states, the imagination space for on-chain privacy computing will open up — completely reconstructing data protection and model security.
From another perspective, if the technical route is indeed feasible, is the current market valuation system still stuck in the conceptual stage when it comes to such infrastructure projects? Has the long-term value potential of privacy computing solutions based on real technological breakthroughs been fully recognized?
It seems worth discussing this in more depth.