Ever wondered how much language models truly memorize? With advancements like Meta's new framework that defines model capacity at the bit level, we’re diving deep into the fascinating world of AI and its memory capabilities. As language models grow in complexity—like the impressive 8-billion parameter transformer trained on a whopping 15 trillion tokens—it raises the intriguing question of whether they really remember their training data in a meaningful way. This scrutiny is essential as we explore the limitations of existing techniques for data extraction and membership inference. What do you think—can AI truly learn from its vast datasets, or are we just scratching the surface? Share your thoughts below! #LanguageModels #AIResearch #MachineLearning #DataMemorization #MetaAI