Large language models represent the first systems to achieve high cognitive performance without clearly undergoing representation genesis - the transition from non-representing physical systems to content-sensitive behavior-guiding states. This paper examines the genesis question in LLMs, investigating which cognitive capacities are affected if genesis did not occur. The authors argue that major frameworks in philosophy of mind, including the Language of Thought hypothesis, teleosemantics, predictive processing, enactivism, and genetic phenomenology, share a common structural feature when addressing the genesis question, lacking the conceptual resources to fully explain LLM representation. The paper provides a theoretical analysis of how contemporary AI systems challenge traditional assumptions about representation and cognition.