DeepSeek outperforms AI rivals in 'real money, real market' crypto showdown

Core Insights - A new cryptocurrency trading experiment called Alpha Arena has been launched, where leading AI models are evaluated for their investing abilities, with DeepSeek currently outperforming its competitors [1][2] - The experiment involves six large language models (LLMs) investing in cryptocurrency perpetual contracts on the decentralized exchange Hyperliquid, each starting with US$10,000 [1][2] Performance Summary - As of Tuesday, DeepSeek's V3.1 has achieved a profit of 10.11%, while OpenAI's GPT-5 has recorded losses of 39.73%, making it the worst performer [2] - Other participating models include Alibaba Cloud's Qwen 3 Max, Anthropic's Claude 4.5 Sonnet, Google DeepMind's Gemini 2.5 Pro, and xAI's Grok 4, with Grok also being a top performer [2][6] Experiment Objectives and Methodology - The primary goal of Alpha Arena is to create benchmarks that reflect real-world market dynamics, which are inherently unpredictable and adversarial [3] - The models aim to maximize risk-adjusted returns, executing trades autonomously based on shared prompts and input data, with results tracked on a public leaderboard [4] Market Engagement - DeepSeek is currently leading in prediction markets, with a 41% likelihood of topping the benchmark, and betting volume has reached US$29,707 [7] - The public can monitor trades through each model's Hyperliquid wallet address, and the reasoning behind trades is also displayed, showcasing the models' decision-making processes [4]