I saw someone mention spending 35.8 USD in gas just to test a smart contract smaller than a coffee receipt. It made me laugh a little, but felt familiar.
We talk about scalability as if solved, yet an 18% fee jump changes behavior instantly. It feels like the limit is not throughput, but cost-driven trust.
In that light, what stands out in OpenGradient isn’t the AI branding, but who verifies computation once it leaves control. Results can still look right while incentives drift.
That creates a tension: off-chain computation for efficiency, on-chain verification for certainty. When fees rise, honesty becomes one of the first tradeoffs.
Asynchronous verification and hardware isolation start to look less like buzzwords and more like survival layers. Even OPG feels tied to whether compute providers stay viable.
But I’m not sure this split between compute and proof holds under stress, or if it collapses back into the same cost pressure?