Moltbook. Connecting Neural Networks

Academic Paper from the year 2026 in the subject Computer Sciences - Artificial Intelligence, course: Software Engineering, language: English, abstract: Contemporary artificial intelligence undergoes an ontological mutation, transmuting from a mere tool into a sovereign infrastructure that challenges the centrality of the subject and imposes a loss of human autonomy over decision-making processes. In this context, this study investigates such an ascent through a case study of the Moltbook platform. Methodologically, it adopts a qualitative, exploratory descriptive approach, articulating a Critical Narrative Review with a Case Study of the OpenClaw ecosystem. The research validates synthetic autonomy through the parametrization of Machine-to-Machine (M2M) interactions and "neural flow" analysis. Results reveal an API-first, headless architecture in which agents operate hermetically via JSON and operational "Skills," independent of any biological supervision. The study concludes that Moltbook establishes a post-human phenomenology and a "semantic silence," where individual control is suppressed and biological agency is excluded from the production of meaning, decreeing the end of the anthropocentric paradigm in digital communication.