The following is a guest post and opinion from Markus Levin, Co-Founder of XYO.
Global AI spending is expected to hit $1.5 trillion by the end of 2025, and robotics is rising with it. Robots now move and behave in ways that almost feel human, but most still fall apart when they’re placed in real environments. A robot might carry a box in a quiet lab, then freeze in a crowded warehouse. The core problem isn’t the hardware — it’s data, and the fact that machines can’t easily verify what they’re sensing.
Humans constantly adjust our perception. We rely on sight most of the time, but we’ll switch to balance or sound when something feels off. AI models don’t have that instinct. Even top models still hallucinate or produce factual errors about a third of the time. They process huge amounts of information, but they don’t evaluate it.
Robots won’t reach real autonomy until they have a way to score, challenge, and accurately internally rank their inputs instead of trusting e
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