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Current AI agents struggle with long-horizon professional tasks, achieving only 30% success in complex GUI workflows, revealing critical gaps in their capabilities.
A simple difference in IoU scores between class-specific and class-agnostic heatmaps can reliably flag potentially erroneous predictions in industrial defect detection, even achieving 100% recall of false negatives with adversarial enhancement.
