True or False: Once a model clearly outperforms people on a task, every human-based evaluation method remains equally useful.
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When does human comparison stop helping much?
Faster Gains Before Surpassing a Human Baseline
When people can no longer easily point out the model’s obvious mistakes, only a _____ of comparison methods remain useful.
Match each situation to the usual direction of progress.
Put the reasoning steps in order for why improvement slows after machine performance exceeds human performance.
Why improvement slows once a model beats human performance
Explain why progress has become harder for a package-screening model.
Examples of Tasks Where Machines Already Excel
When are human-checking methods still especially useful during model development?
True or False: Once a model clearly outperforms people on a task, every human-based evaluation method remains equally useful.