According to Andrej Karpathy, large language models should be treated as simulators that channel multiple perspectives rather than as entities with their own opinions, source: Andrej Karpathy on X. He advises replacing you centric questions with prompts that ask what different groups would say, which is directly applicable to structuring crypto market research, source: Andrej Karpathy on X. Applying this to trading workflows, practitioners can prompt simulated bulls, bears, and market makers to generate scenario narratives for BTC and ETH without assuming the model holds a personal view, source: Andrej Karpathy on X. He adds that forcing a you voice only makes the model adopt a personality implied by finetuning data statistics, reinforcing role based simulation as the correct mental model for AI assisted analysis, source: Andrej Karpathy on X.