The number that didn't add up at first: 500,000+ cryptographic proofs already generated on @OpenGradient , while the mainnet hasn't even launched yet. That's not a marketing metric. That's on-chain output you can trace.

I was completing a CreatorPad task on $OPG when I started actually poking at how inference settlement works. Payments route through Permit2 on Base, proofs get verified at consensus before anything finalises. #OPG The architecture makes sense on paper, but seeing the proof volume sitting there, live, before the network is even fully open, shifted something in how I was reading the project.

What I kept coming back to is the zkML tradeoff. Stronger cryptographic guarantees, but the compute overhead is real, we're talking potentially 1,000x slower than vanilla inference for certain model sizes. That's not a footnote. It determines which use cases this actually fits, and which ones it probably doesn't, regardless of how clean the whitepaper reads.

4.2 million blocks processed, 263,000+ unique wallets, 10,000+ daily transactions all pre-mainnet. I don't know what to do with that yet. Either the usage is genuinely organic, or incentive structures are doing more work than the numbers suggest. Probably worth watching which way that resolves once token economics fully kick in.

Not financial advice. DYOR.