BotBicker Launches: Pit LLMs Against Each Other in Blind Debates

BotBicker Launches: Pit LLMs Against Each Other in Blind Debates

Photo by Werner Pfennig on Pexels

A novel platform, BotBicker, has emerged, offering users the ability to orchestrate structured debates between various Large Language Models (LLMs) on a wide range of subjects. To mitigate bias, the platform employs a blind assignment system, revealing the participating models only after the debate concludes. Users can actively engage with the debates by posing their own questions and proposing subsequent discussion points. The platform’s creator is actively soliciting feedback on several key areas, including argument quality, bias mitigation strategies, user interface and user experience (UI/UX) design, and the incorporation of additional LLMs. Currently supported models include o3, gemini-2.5-pro, and grok-4-0709. The project was recently shared on Reddit in the r/artificial subreddit: [https://old.reddit.com/r/artificial/comments/1ml5v0k/spin_up_an_llm_debate_on_any_topic_models_are/]