Privacy Risks of AI Companions
AI companions process large volumes of personal conversations, raising important questions about how that data is stored and used.
AI companions process large volumes of personal conversations, raising important questions about how that data is stored and used.
What makes a robot seem socially aware is not necessarily intelligence in the dramatic, science-fiction sense.
Latency sits quietly at the center of real-time AI interaction.
One of the biggest reasons companion technologies are becoming noticeably more natural is multimodal AI in companions.
Understanding why making a social robot is hard requires looking past the plastic shell at the behind the scenes of AI hardware.
Memory systems determine whether an AI feels stable or changes personality across interactions.
Identifying the features that matter in AI companions requires moving past the marketing hype.
Making robots feel more natural depends on total alignment.
Speech-to-text accuracy in AI isn’t just a technical metric; it is the backbone of the entire product.
TLDR When people talk about social robots, the conversation usually drifts toward looks first. Sleek faces, soft materials, and expressive eyes are the initial focus. However, once you dig into how people actually respond during interaction, something interesting shows up: motion tends to matter more than appearance in shaping whether a robot feels socially “real.”…