Call for Distributed Learning Infrastructure to Empower Firms

A critical viewpoint has been shared regarding the prevailing practices in data utilization and value creation within the AI ecosystem. The author points out the irony in companies imposing strict terms on data distillation while simultaneously reserving the right to learn extensively from customer usage and interaction data. This one-directional flow of learning is seen as problematic because it centralizes economic value with the owners of the learning infrastructure, rather than distributing it to the creators of the original knowledge. The argument emphasizes the necessity of decentralizing this learning infrastructure, enabling every firm to manage its own learning loops and retain control over the value derived from its data.