Every time a model built on @OpenLedger generates output, the system runs a reverse allocation process, tracing back the DataNets that shaped that specific response, and then distributes 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 gets so tiny that it hardly matters to any individual contributor. $OPEN we call this fair distribution. This could actually be precise distribution - not just the same thing. #openledger