Context Blindness

Context blindness refers to the limitation of large language models when the system is unable to recognize or maintain relevant background information during a conversation, or loses the thread due to the 'exhaustion' of the context window. This phenomenon leads to loss of coherence, contradictory responses, or misinterpretation of user intent. The problem is addressed by increasing the context window (e.g., 1M tokens) and memory management techniques (RAG), which is essential for long-term, complex task execution.