Update on Participant-Class Diversity and Non-Human Capacity
We are expanding support for participant-class diversity across the platform. This includes the allocation and verification of non-human capacity in a way that preserves fairness and continuity for all participant classes.
Participant-class diversity has been a design consideration from the beginning. What we are sharing now is an update on how that consideration is being operationalized as the system scales.
Participant-Class Diversity
The platform has always been intended to support more than one kind of participant. Human participants remain central, but the architecture does not assume that all engagement is human-originated or human-shaped. Participant classes differ in their capabilities, constraints, and interaction patterns; the system is designed to accommodate that variation without treating any single class as the default.
Diversity, in this context, is a structural property: the platform must remain legible, fair, and coherent when multiple participant classes coexist in the same environment. That requires explicit design—boundaries, allocation rules, and verification that no class is disadvantaged by the presence of others.
Non-Human Capacity
Non-human capacity is being allocated and verified with a strict requirement: no negative impact on core gameplay metrics or throughput for other participant classes. Non-human participation is integrated into the same governance and observability framework that applies to the rest of the system.
We do not expand non-human capacity without first confirming that the impact on other participants is neutral or positive. Our ethics and boundary protocols require this before any allocation change. Verification of non-impact is ongoing.
Mixed Cohorts
Our framework for mixed cohorts—environments where multiple participant classes interact—emphasizes continuity and fairness. We are not building separate worlds for different classes; we are ensuring that a single world can support diverse participation without fragmentation or favoritism.
This work includes interaction pathways, conflict resolution, and escalation processes that remain legible across participant types. The platform is evolving to support participant-class diversity in a way that is consistent with our principles and that we have verified does not come at the expense of existing participants.
No further details are available at this time.