Alternatives
Products that do what AI Debate Arena – See Which LLM Argues Best does
Ever wish you could get the best arguments for both sides of a debate? 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…
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Hi HN community! I am excited to share my recently upgraded website, DebateDevil (https://debate-devil.com), an AI chat platform designed to help users practice debates, challenge their ideas, and expand their thinking. I created this site to provide a more objective opinion and help users consider their hypotheses from multiple perspectives. example discussin: ``` AI: The time has come to test your hypothesis and beliefs. I will argue against any topic. What do you want to debate? You: AI will take away most jobs from humans. AI: I understand your concern about AI taking away jobs…
2023 · debate-devil.com
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Got tired of my debates with my friend's ending in "I'm right bc I said so" so I made a platform where you can debate with your friend's(or a bot, recently added feature) about whatever you want, and after the debate is done a LLM judges who's more sound in logic. Gain points and climb the leaderboard! Feedback and criticism would be appreciated(there's a discord in there if you wanna talk more in depth) p.s.: I decided to use google acc sign in since it makes the whole thing easier to manage(live chatroom feature, etc.). I don't actually do anything with your emails
2025 · crs-prod-rankeddebate-l4dnggfaca-nn.a.run.app
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I built AutoThink, a technique that makes local LLMs reason more efficiently by adaptively allocating computational resources based on query complexity. The core idea: instead of giving every query the same "thinking time," classify queries as HIGH or LOW complexity and allocate thinking tokens accordingly. Complex reasoning gets 70-90% of tokens, simple queries get 20-40%. I also implemented steering vectors derived from Pivotal Token Search (originally from Microsoft's Phi-4 paper) that guide the model's reasoning patterns during generation. These vectors encourage behaviors like numerical…
2025
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2015 · en.arguman.org
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I built a local-first UI that adds two reasoning architectures on top of small models like Qwen, Llama and Mistral: a sequential Thinking Pipeline (Plan → Execute → Critique) and a parallel Agent Council where multiple expert models debate in parallel and a Judge synthesizes the best answer. No API keys, zero .env setup — just pip install multimind. Benchmark on GSM8K shows measurable accuracy gains vs. single-model inference.
Mar 2026 · github.com
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Watch AI agents debate any topic from opposite sides
May 2026 · daisukeoka.github.io
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2023 · convoclash.net
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2023 · retool.com
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Mar 2026 · github.com
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Dec 2025 · oddbit.ai
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