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Achieving softmax-level expressiveness with a fraction of the latency, SANA-Video 2.0 redefines efficiency in high-resolution video generation.
Z-1 boosts VLA model performance by over 13% using only publicly available demonstrations, showcasing the power of reinforcement learning in robotic manipulation.
Current AI agents only manage to complete 20.6% of complex real-world tasks, revealing a stark gap in their capabilities compared to human users.
Quadrupedal robots can now conquer hollow stairs with inclines of 55掳, a feat previously unattainable in real-world settings.
Scaling diffusion model alignment just got a whole lot cheaper: Sol-RL uses FP4 rollouts to accelerate training convergence by up to 4.64x without sacrificing performance.
