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Physical robot learning can now autonomously discover and exploit informative experiments to continuously improve foundation models, achieving 77% success on RoboCasa365 and zero-shot transfer to real hardware.
AI agents are now building climate models that outperform published research and offer novel hypotheses for long-standing scientific debates.