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Tiling multi-shot video chunks across a 2D spatial grid instead of stretching them along a single temporal axis yields 6脳 more narrative shots under the exact same token budget while decisively outperforming prior consistency baselines.
VisualClaw slashes API costs by 98% while boosting accuracy, transforming how VLMs can operate in real-time environments.