The paper shows that Test-Time Training (TTT) with keyβvalue (KV) binding is not really memorizing like a notebook; it is acting like a learned linear attention layer.
The paper introduces Nested Learning, a new way to build AI that learns in layers (like Russian dolls), so each part can update at its own speed and remember different things.