Not Thinking Like Humans: Onboard AI Solves Narrow Spaceflight Bottlenecks
Space AI today is largely about narrow, onboard software that solves physical bottlenecks—limited bandwidth, long Earth–space delays, and huge data volumes—rather than machines reasoning like humans. Examples include Curiosity’s AEGIS selecting laser targets with about 93% accuracy, ESA’s OPS-SAT SmartCam achieving ~95% accuracy and built by a single engineer in under two weeks, and the Φ-Sat-1 onboard neural network that filters clouded images to save downlink bandwidth. Larger constellations use autonomous collision avoidance, but the core idea remains: real autonomy is a collection of bounded, practical fixes rather than broad machine judgment.
