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RoboDojo reveals that existing benchmarks fail to capture the full spectrum of robot manipulation capabilities, paving the way for more robust evaluations that bridge the gap between simulation and real-world performance.
Semantic priors in neural speech codecs hit a wall: their benefits plateau beyond 6 kbps, revealing a fundamental limit to improving intelligibility at higher bitrates.
VLMs can't count blocks because they lack a view-consistent spatial interface, but decomposing scenes into orthographic projections fixes it.
