Scientists Crack Open AI's 'Black Box' to Reveal How Neural Networks Think
Scientists are cracking open AI's mysterious 'black box' using a groundbreaking field called Mechanistic Interpretability, reverse-engineering neural networks at the neuron level to reveal how AI models think, make decisions, and potentially develop harmful behaviors — a critical breakthrough for building safer, more trustworthy AI systems.