Morning Edition · Thursday, July 2, 2026
NVIDIA's SpatialClaw Uses Code as the Action Interface for Spatial Reasoning
A training-free framework lets a vision-language agent write and run Python to compose perception steps and inspect intermediate results.
NVIDIA researchers introduced SpatialClaw, described as a training-free framework for spatial reasoning that treats code as the interface for action. Rather than fine-tuning a model for spatial tasks, the approach lets a vision-language mod…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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