#openledger $OPEN Whenever a model is built on @OpenLedger and produces an output, the system runs a reverse allocation process, tracing back which DataNets shaped that specific response, then distributing the inference fees accordingly.
Math works clearly on paper. But when a single DataNet impacts millions of inferences across hundreds of models simultaneously, the reward per output approaches what feels like a minuscule figure to any individual contributor. $OPEN calls this fair distribution. This could actually be precise distribution - not just a one-size-fits-all solution.
Math works clearly on paper. But when a single DataNet impacts millions of inferences across hundreds of models simultaneously, the reward per output approaches what feels like a minuscule figure to any individual contributor. $OPEN calls this fair distribution. This could actually be precise distribution - not just a one-size-fits-all solution.