In this talk, Joel explores how current machine learning systems optimize for immediate human desires rather than deeper flourishing, and proposes 'machine love' as a framework that provides unconditional support for human growth and self-discovery. Drawing from positive psychology and diverse wisdom traditions, he demonstrates how we might design AI systems that help us uncover and align with our authentic values and highest aspirations, rather than systems that merely distract or divide us.