Modern sex dolls learn through a combination of AI algorithms, sensor input, and carefully crafted programming. At a high level, sensors gather data about touch, proximity, audio cues, and sometimes temperature or biometric signals. This data feeds into AI models that classify stimuli, predict preferences, and generate appropriate responses or actions. Programming provides the structure: predefined routines, safety constraints, and customizable behaviors that can be adjusted by users. The result is a doll that can adapt to familiar patterns, respond in context, and offer increasingly natural interactions. Important components include speech synthesis for conversational ability, sentiment analysis to gauge user mood, and reinforcement learning loops that refine behavior over time. Privacy considerations matter here: touch data and dialogue content can be sensitive, so secure storage and clear user consent are essential. Developers also implement safeguards to prevent unsafe or nonsensical outputs and to ensure that the doll remains within ethical bounds. As technology progresses, expect improvements in responsiveness, more fluid movement, and richer, more nuanced conversations that align with user boundaries and preferences.