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Scaling Participation in Modular AI Systems

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arXiv:2606. 07812v1 Announce Type: new Abstract: Humanity is a mosaic of multifaceted talents and needs, and any truly intelligent AI must reflect that richness.

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Authors: Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov
Released: 2026-06-09 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Scaling Participation in Modular AI Systems overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: rate, trained, position, model. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.07812

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