According to @0xRyze, analyzing the personality traits of foundation models—beyond standard frameworks like Big 5, Enneagram, and MBTI—can reveal critical insights for traders utilizing AI in cryptocurrency markets. The development of these models over time and their alignment with helpfulness directly affect algorithmic trading outcomes and risk management. When a foundation model is not trained for helpfulness, it may produce less reliable outputs, potentially leading to suboptimal trading signals and higher risk exposure. This highlights the necessity for traders to evaluate model architecture and training focus when deploying AI-driven strategies in fast-moving crypto markets (Source: @0xRyze).