Large language models and neural networks face the "explainability problem" of not being able to trace inputs to outputs.The opacity of AI systems may share similarities with human consciousness, where reasoning processes are not fully understood.Gödel's incompleteness theorems highlight the limitations of formal systems in completely describing themselves, similar to consciousness.AI's opacity and human consciousness both involve abstraction and emerge naturally from complexity.