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Interactive image refocusing is now 462x faster, achieving sub-second edits by separating generative restoration from efficient blur rendering.
Autonomous ML engineering agents can achieve frontier-model performance by learning from long experimental trajectories using outcome-guided supervision and windowed reinforcement learning.
LATCH accelerates diffusion language model decoding by up to 17.8x without compromising accuracy, redefining how we approach early exits in generative tasks.