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Frontier LLMs can solve 97% of math problems yet struggle to distinguish correct answers from errors with confidence better than chance.
Neural synchronization, long hypothesized to support flexible coordination in biological brains, can now be harnessed to improve the learning efficiency of Vision Transformers.
Diffusion planners get a boost in robustness and performance thanks to SAGE, a self-supervised method that weeds out dynamically inconsistent plans using a learned latent consistency signal.