New Platform Peers Inside AI’s Black Box

Researchers have introduced a new platform designed to interpret the internal decision-making processes of large language models. By mapping the activation patterns of neural networks, the tool aims to increase transparency into how models generate specific outputs. This development addresses the long-standing challenge of understanding the opaque logic behind AI responses, potentially helping developers identify and correct errors in model behavior.