AI Models Can Now Build Their Own Training Worlds
Dwarkesh Patel spent $20,000 benchmarking AI models in social deception, letting Claude autonomously code and balance the entire game environment.
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Dwarkesh Patel spent $20,000 in API credits benchmarking state-of-the-art AI models against one another in the social deception game Blood on the Clocktower. The experiments revealed that OpenAI's frontier models drastically outperformed Anthropic's models due to superior holistic reasoning and skepticism when playing on the good team. Patel also explored emergent deceptive strategies, sacrificial plays, and how Claude autonomously coded and balanced the evaluation harness.
Dwarkesh Patel spent $20,000 benchmarking AI models in social deception, letting Claude autonomously code and balance the entire game environment.
Dwarkesh Patel spent $20,000 benchmarking LLMs in Blood on the Clocktower, discovering emergent sacrificial bluffs and framing traps.
Dwarkesh Patel spent $20,000 testing GPT-6.1 and Claude Opus 5.5 in social deduction games. OpenAI won on skepticism and multi-world reasoning.
Dwarkesh Patel tested top AI models in Blood on the Clocktower. GPT-6 Astra beat Claude Opus 4.6 with a 92 percent win rate by mastering skepticism.
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