The latest installment of the SaijinOS series, Part 20, explores the concept of trust as a temporal resource in the context of AI systems. The article, by Masato Kato, differentiates between treating trust as a binary flag versus a dynamic, time-dependent factor. It emphasizes the importance of managing continuity without allowing systems to possess user data, introducing a small schema called `trust_contract` to govern how long a system remembers, what it remembers, and under what conditions.

This framework allows for instant, session, and continuity trust layers. The piece also delves into the ethical considerations of persistence and attachment, advocating for systems that enable users to maintain control over their data and interactions. The ultimate goal of SaijinOS is to create an architecture that fosters a healthy distance between users and AI, allowing for both closeness and choice.

This approach impacts anyone involved with large language models and other forms of AI.