From Profiles to Intent Graphs: A New Model for AI-Native Social Discovery
Traditional social discovery matches static profiles. AI-native systems can instead model current intent, context and conversational signals to build a dynamic intent graph.
Traditional social discovery matches static profiles. AI-native systems can instead model current intent, context and conversational signals to build a dynamic intent graph.
A digital human can look consistent while feeling inconsistent. This framework evaluates whether text, voice, facial behavior and visual style express the same underlying identity.
Creator digital twins need governance beyond content moderation. A practical model for controlling likeness, voice, verified knowledge, behavior boundaries, updates and revocation.
Long-term memory is valuable only when the system knows what deserves permanence. A practical model for storing, summarizing, decaying and deleting relationship memories in AI companions.