Language AI requires real world/real-time agency in order to sharpen inference

ChatGPI requires a real world interface in order to understand “agency”.
THis will transform it into a participant and “agent” in the real world and deliver much more “value” to those who interact from the real-world continuum? Please discuss?

I suggest that this should start with a visual system that pre- processed images/video into a rich text-based meta-data, coupled to camera and focus metadata from the AI, coupled to the AI attention frame capacity. THe “visual system” would be a pre-trained system to avoid too much integration between meta-data integration - thus avoiding disruption to either trained systems. Later, inter-training might be explored. But to start? Am I wrong?