Model Training

Opening — Why this matters now Large Language Models (LLMs) are often praised for what they generalize. Yet, beneath the surface, a less glamorous behavior quietly persists: they remember—sometimes too well. In an era where models are trained on ever-larger corpora under increasing regulatory scrutiny, understanding when memorization occurs, why it happens, and how it can be isolated is no longer an academic indulgence. It is an operational concern. ...

Opening — Why this matters now For years, we have treated AI models like polished machines: train once, deploy, monitor, repeat. That worldview is now visibly cracking. The paper you just uploaded lands squarely on this fault line, arguing—quietly but convincingly—that modern AI systems are no longer well-described as static functions. They are processes. And processes remember. ...