Trusting unknown inferences is a serious problem, and one that’s all too familiar to those of us in crypto and Web3. For example, imagine the potential profit an arbitrageur could gain from a japan whatsapp number data decentralized exchange by garbling a feed of price information.
Luckily, there is a solution to this trust gap. The answer: Create an inference economy.
While the spotlight has justifiably been on the data powering machine learning’s inferences, what’s missing is a formal arena for nipping any bad outputs in the bud. Grounded in responsible competition, an inference economy commercializes the pursuit of honest, reliable, and secure machine learning production.
At a high level, this comes to life as a marketplace for verifiable machine intelligence, with two layers: a tournament-style competition that allows any data scientist or modeler to improve on an ML model and earn a share of the inference’s generated revenue, and an open marketplace where streams of verified inferences can be consumed.