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Biosignal world models are fundamentally flawed for intervention use due to inherent physiological bottlenecks, demanding a new evaluation framework.
Robots can't truly improve themselves yet; current systems lack the crucial ability to recursively refine their own learning processes based on physical experience.
Current scientific agents struggle to maintain a coherent narrative across evidence and calculations, with only 34.81% achieving strict accuracy in complex tasks.
Legacy time series benchmarks are holding back progress: TIME offers a fresh alternative with 50 new datasets, rigorous data integrity checks, and real-world task formulations.