Choosing What to Test, and Who Actually Tests It | Visual AI Learning Guide

All of that prediction and generation funnels into one scarce resource: bench time. So the next job is deciding which experiment is actually worth running.

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Because physical testing is the scarce resource, deciding which experiment to run next is itself a high-value decision. AI can rank candidate experiments by how much information each would add, so limited bench time goes to the most informative tests. But ranking is where AI's role ends in today's typical setup: a person still performs the experiment, judges whether the result is real or an artifact, and decides what it means for the next round. AI predicts and prioritizes; humans execute and interpret.