Competing with sampling

In 2025, ARC has been making conceptual and theoretical progress at the fastest pace that I've seen since I first interned in 2022. Most of this progress has come about because of a re-orientation around a more specific goal: outperforming random sampling when it comes to understanding neural network outputs. Compared to our previous goals, this goal has the advantage of being more concrete and more directly tied to useful applications. The purpose of this post is to: Explain and motivate o...