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Zen KOH's avatar

The RLDX-1 discussion reinforces a critical shift in robotics: embodied intelligence will not be solved by vision-language scale alone, but by integrating tactile, force, temporal, and high-DoF interaction data. Dexterity is not downstream of intelligence; it is one of the core pathways through which physical AI becomes commercially reliable.

Lious's avatar

The line that scale cannot recover a modality it never received applies beyond robotics. In knowledge work, a model may see the document but miss the conversation, exception, or field judgment that gave it meaning. Benchmarking should therefore test whether the system recognizes absent evidence, not only whether it succeeds on complete inputs. Do current dexterity benchmarks reward an explicit 'insufficient sensing' response, or do they still push models to act even when the decisive modality is unavailable?

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