GPT-6 Astra pilots drone autonomously but succeeds only 2.8% of the time

OpenAI’s GPT-6 Astra can now fly a drone through an office, find a specific person from a photo, and follow them around. The AI handles the entire process: building a 3D map of the space, figuring out where it is, planning a route, identifying its target, and tracking that person as they move. That’s the good news. The less glamorous part: it pulls off the complete sequence roughly 2.8% of the time. What Astra actually did The demonstration was conducted by Andon Labs using a benchmark called Drone-Bench, which breaks autonomous drone navigation into five distinct subtasks: 3D mapping, self-localization, route planning, person detection, and motion tracking. Astra became the first AI model to surpass human-level performance on all five of those individual subtasks in at least one trial run. Previous models could handle some pieces of the puzzle but couldn’t match human competence across the entire chain. When Andon Labs ran the full end-to-end sequence across multiple attempts, the complete success rate averaged about 2.8%. To put that in perspective, if you asked Astra to perform the full find-and-follow mission 100 times, it would nail it roughly three times. The experiment used ...