Glasswing VC
A UC San Diego paper reframes world model hallucinations as a data coverage problem, not a compute problem. Three metrics—round trip residual, flow instability, and inter-seed variance—can pinpoint gaps cheaply, enabling faster, cheaper training for robotics, autonomous driving, and surgical applications.
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Topics: AI Infrastructure · Robotics · Manufacturing & Industrials
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