NVIDIA's SpatialClaw uses code as action interface, beats prior agent by 11.2 points on 20 benchmarks
CMHungSteven · x · 2026-09-17
NVIDIA Research released SpatialClaw, a training-free spatial reasoning agent built on the thesis that "code is the right action interface":
- The agent writes Python in a persistent kernel, composing perception modules, inspecting intermediate results, and revising strategy across steps.
- Compared to single-pass code generation (can't revise) and structured tool-calls (limited composition), SpatialClaw beats a recent agent by +11.2 points across 20 benchmarks and improves consistently across six VLM backbones.
- No benchmark- or model-specific adaptation.
The author notes GPT-6 Astra's reported 3D abilities via code align with their findings; claims about Astra's >100k-GPU Stargate pretraining remain unconfirmed rumor.
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