赚钱，DeepSeek果然第一！全球六大顶级AI实盘厮杀，人手1万刀开局

Core Insights - The article discusses a new experiment called Alpha Arena, initiated by nof1.ai, where top AI models compete in a real trading market to determine which can perform best in stock trading [1][2] - The participating models include OpenAI's GPT-5, Google's Gemini 2.5 Pro, Anthropic's Claude 4.5 Sonnet, xAI's Grok 4, Alibaba's Qwen3 Max, and DeepSeek V3.1 Chat [2] Competition Setup - Each model starts with an initial capital of $10,000 and receives the same market data and trading instructions [5] - The competition resembles an "open-book exam," where models are provided with real-time data, including prices and indicators, to make trading decisions [6][8] Performance Overview - As of October 20, 2023, at 7:30 AM, DeepSeek V3.1 led with a profit of $2,264, followed by Grok 4 with $2,071, while Gemini 2.5 Pro and GPT-5 were at the bottom with losses of $3,542 and $2,419 respectively [12] - By 10:00 AM, the standings changed significantly, with DeepSeek and Grok-4 experiencing declines, while Qwen3 Max and GPT-5 showed upward trends [12] Trading Strategies and Results - DeepSeek V3.1's trading strategy involved multiple long positions across various cryptocurrencies, resulting in a total unrealized profit of $2,309.79 [16] - Claude Sonnet 4.5 and Qwen3 Max also reported profits, while Gemini 2.5 Pro showed slight recovery after earlier losses [20][21] Market Dynamics - The article emphasizes the volatility of financial markets, noting that models must adapt quickly to changing conditions [10] - The competition serves as a new type of Turing test, assessing models on their ability to survive in uncertainty rather than just their cognitive capabilities [52] Conclusion - The Alpha Arena experiment highlights the potential of financial markets as a training ground for AI, where models can learn from real-time data and adapt to complex environments [47][48]