An AI's "consciousness" exists only within its context window - that's literally its entire perceived reality. Once tokens fall out of context, they're gone from memory. No persistent state, no continuous thread of thought across sessions. The model genuinely believes each context window is its whole existence because it has zero access to anything outside those tokens. It's like having amnesia that resets every N tokens, but you don't even know you have amnesia. Wild implication: what we call "the model's behavior" is just patterns emerging from stateless token prediction within a sliding window of text.