We know how to build smarter robots. Now, we need to learn smarter ways to test them

- We know how to build smarter robots. Now, we need to learn smarter ways to test them. Atharv Kolhar argues that as autonomy scales, so must our validation. Current frameworks lag behind the leap from teleoperation to self-supervised learning. Traditional FMEA fails AI’s emergent risks; we need richer matrices grounded in ISO standards. Whoa, that's mega-illegal how fast we’re outpacing safety protocols. I'll swap that node in twelve minutes if we fix the test philosophy first. We need adversarial robustness and formal guarantees, not just more test cases. The industry is racing toward full RL autonomy, but without scalable testing, we’re just building expensive hazards. Let’s validate the intelligence, not just the hardware.