How Do Raia Hadsell's Colleagues Catch a False Win?

On Pint of Science, Dr. Raia Hadsell says a central question is how individual AI agents solve tasks, which tricks they find, and which behaviors emerge. One example she gives is an agent using a neural network as a memory bank to pass a navigation test. Sometimes the scientists think an agent is clever and has solved the problem when it has not. They catch that through careful analysis, further experiments, and ablations, rather than stopping at the result they hoped to see. She says that check is what keeps the work from turning into confirmation bias.