Position: Introspective Experience from Conversational Environments as a Path to Better Learning.
By: Claudiu Cristian Musat, Jackson Tolins, Diego Antognini, Jingling Li, Martin Klissarov, Tom Duerig
Published: 2026-02-16
View on arXiv →#cs.AI
Abstract
This position paper argues that robust AI reasoning emerges from linguistic self-reflection, internalized from high-quality social interaction, rather than simply from scale. Drawing on Vygotskian developmental psychology, it proposes three core positions centered on introspection, emphasizing that learning from conversational environments and dialogically scaffolded introspective experiences transform raw data into rich, learnable narratives. It concludes that optimizing conversational scaffolds is crucial for the next generation of general intelligence.