Beyond Theory of Mind in Robotics

This project is a theoretical paper (ArXiv) rather than a software product, reflected by its 0 stars and minimal fork activity. It addresses a deep conceptual bottleneck in robotics: the reliance on 'Theory of Mind' (ToM). Current AI giants (OpenAI, Google) are heavily invested in the 'Inside-Out' approach, using LLMs to infer intent via Bayesian or neural ToM. This paper argues this is fundamentally flawed, advocating for 'Second-Person' interaction where meaning is co-constructed. While intellectually stimulating, the project lacks a technical moat or implementation. Its defensibility is nearly non-existent as it is a public domain idea with no code. Frontier labs are unlikely to compete directly because they are currently seeing success with the 'flawed' ToM models this paper critiques; they will only pivot if enactivism produces superior benchmarks in HRI (Human-Robot Interaction). The primary risk is academic obscurity rather than platform domination. For an investor, there is no 'product' here yet, only a potential shift in R&D direction for future social robotics ventures.