OpenAI researchers are working on a project called mechanistic interpretability, which aims to understand how neural networks make decisions. They've developed a new approach called sparse circuits, where connections between neurons are reduced to improve transparency and reliability in AI systems. --- Why it matters: This matters because making AI more transparent can help engineers identify biases and errors, leading to safer and more reliable behavior in applications like self-driving cars or medical diagnosis. Source: https://openai.com/index/understanding-neural-networks-through-sparse-circuits