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This work takes an RSI-inspired approach at the harness layer, scaling auto-research loops across increasingly numerous and diverse environments for harness rollouts, and yields reusable improvements that transfer beyond their development setting.
Achieving over 2x speedups in video generation without sacrificing visual quality, Sol-Attn redefines the efficiency of sparse attention mechanisms.
Achieving softmax-level expressiveness at a fraction of the cost, SANA-Video 2.0 is 120x faster than its closest competitor while generating high-quality video.
Switching between autoregressive and diffusion modes allows Nemotron-Labs-Diffusion to achieve unprecedented throughput and efficiency in language modeling.
RoboDojo reveals that integrating simulation and real-world tasks can significantly enhance the evaluation of robot manipulation policies, bridging the gap between theoretical performance and practical deployment.
