For a drone, an LLM derived solution is far too slow, unreliable, heavy and not fit for purpose. Developments in areas like optical flow, better small CNNs for vision, adaptive control and sensor fusion are what's needed. When neural networks are used, they are small, fast, specialized and cheap to train.
A multimodal or segmentation algorithm is not the solution for bee-level path planning, obstacle avoidance or autonomous navigation. Getting LLMs to power a robot for household tasks with low latency to action and in an energy efficient manner is challenging enough, before talking about high-speed, highly maneuverable drones.
