Core Insights - The Alpha Arena test showcased AI trading in a real market environment, revealing the performance of various AI models in cryptocurrency trading [1][2] - Domestic AI software DeepSeek achieved a remarkable 36% profit in three days, while GPT 5 suffered a loss exceeding 40% during the same period [1][2] Group 1: AI Trading Performance - DeepSeek's initial performance peaked at a 36% return, translating to nearly $4,000 in profit, but later adjusted to a 10% return due to market fluctuations [2] - In contrast, GPT 5's losses expanded to over 40%, reducing its initial capital to below $6,000, while Gemini 2.5 faced losses exceeding 30% due to erratic trading strategies [2][4] Group 2: Underlying Strategies and Logic - The differences in AI performance stem from their underlying strategies; DeepSeek's approach is characterized by straightforward, high-leverage trading without frequent changes, while other models exhibited erratic behaviors [4] - AI trading is not solely about machines making profits; it relies on human-designed trading logic, emphasizing the importance of human input in risk management and strategy formulation [4][5] Group 3: AI's Role and Market Perception - AI trading operates on a "probability game" basis, enhancing human capabilities through efficient data processing and execution, but it cannot predict sudden market changes [5][6] - Public anxiety regarding AI replacing human traders is misplaced; AI serves as a tool to enhance human decision-making rather than a replacement [6][7] Group 4: Opportunities for Individuals - Ordinary individuals can leverage AI by focusing on their unique strengths and integrating technology into their decision-making processes, rather than competing directly with AI [7][8] - Embracing AI as a productivity tool and finding ways to participate in the evolving ecosystem can provide new opportunities for individuals [8][9]
AI量化爆赚36%后，普通人该焦虑还是拥抱未来？
3 6 Ke·2025-10-23 12:26