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A 50x speedup makes VLMs fast enough to serve as a real-time semantic safety net for self-driving cars, but NF4 quantization can cause critical recall failures.
Context-aware robots that "see something, say something" boost user trust by 82% simply by communicating more intelligently about hazards.
Even with 78% depth pixel loss, robots can navigate effectively by bootstrapping perception from the sensor's *own* sparse, valid data to calibrate learned monocular depth.