Show HN: Jev vs. GPT-5.6 and Claude Haiku at Pong (jev-pong.ably.dev)

A recent experiment showcased the performance of Jev, a typed-decision AI model, against prominent AI models GPT-5.6 and Claude in a game of Pong. Conducted under controlled conditions where all models responded to the same serve and question simultaneously, each AI's decision influenced the ball's movement without introducing speed variations. This unique approach allowed for a direct comparison of decision-making capabilities across different types of AI architectures, focusing on their performance in a gaming environment that traditionally challenges chat-based models. The significance of this experiment lies in its exploration of the strengths and weaknesses of various AI models, particularly in dynamic scenarios like gaming. While chat models like GPT-5.6 and Claude are generally optimized for conversational tasks, the use of Jev's typed-decision framework highlights an alternative approach to AI reasoning. By leveraging a non-linear response mechanism, Jev's performance in Pong underscores the potential for specialized models to excel in areas where traditional chat-based frameworks may falter, opening new avenues for AI application in interactive and real-time environments.