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Figure has unveiled Helix 2.5, the latest version of its humanoid robot AI model, which was evaluated zero-shot across 30 home environments the system had never seen during training. Zero-shot generalization to novel physical environments is one of the hardest unsolved problems in embodied AI, and testing at this scale across diverse home layouts represents a meaningful benchmark advance. Helix 2.5 appears to leverage improved visual and spatial reasoning to handle the variability in real-world domestic settings without environment-specific fine-tuning. For developers and researchers working on robotics, physical AI, or sim-to-real transfer, this is a concrete data point about how far generalist robot policies have progressed. It also signals that household robotics is moving from controlled demos toward genuine deployment-readiness evaluation.