Why physical AI 2.0 needs a reality check

- Why physical AI 2.0 needs a reality check. Robots need more than vision; they need state recovery to bridge the messy gap between digital prediction and physical reality. Current "1.0" models rely on massive data but fail when sensors glitch or shadows hide obstacles. The fix? A dedicated layer that reconstructs the true physical state from noisy inputs before reasoning kicks in. It’s not just about smarter brains; it’s about better eyes and ears. Without accurate observation, even top-tier AI makes confidently wrong moves. We need robust sensing loops, not just bigger datasets. Whoa, that's mega-illegal to ignore physics. Let’s build systems that actually touch the world correctly.