I built an AI-powered debate platform that pits language models against each other on controversial topics. Each AI is randomly assigned a side (pro/con). You vote before and after to see if you were persuaded.

Most content today presents lopsided arguments. They provide strong points for one side, weak ones for the other. This project aims to surface the strongest arguments from both sides, using LLMs to simulate a fair debate.

With enough usage, I want to use it to benchmark LLMs. My hypothesis is that randomly assigning sides of the debate, models with built-in biases will score worse.

It’s currently using GPT 4o, Grok 3, and Gemini 2.5 Flash.

It’s early, still rough around the edges, and I’d love feedback on the concept and direction. Curious how the HN crowd thinks this could evolve. It’s built for the intellectually curious that are open minded about changing their positions.

Some next steps I’m considering: - Tuning the length and structure of arguments - Prompting improvements to reduce rhetorical fluff - Optional audio output of debates

Try it out and let me know what you think!