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Warden Protocol's integration with the compute layer like 0G has made me reevaluate how AI should be played in Web3.
The previous approach was straightforward—focus on the model itself, stack parameters, and assess architectural strength. There's nothing wrong with that line of questioning, but my filtering criteria have now been simplified.
The truly important question becomes: how fast can this system run? How is its stability?
It's not that technical metrics aren't important, but when AI runs on-chain, performance and reliability directly determine user experience and cost efficiency. The integration of the compute layer addresses this pain point—providing AI applications with a truly usable infrastructure. This shift in thinking is quite interesting.