Alternatives
Products that do what I built a small arena where AI write robot and then fight each other does
An arena where LLMs write robot controllers and their code competes. - nigrosimone/llms-robot-arena
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2017 · doc.bytearena.com
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Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai
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2013 · robotgame.org
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over the past couple months, i've picked up an old project around writing AI in python. the premise is to code a strategy for an AI player to use in a simplified RTS game. the AI basically takes the seat of a human player and the human codes its brain. main site: http://okayzed.github.com/dmangame/introduction.html app engine server and match archive that runs and hosts games: http://dmangame-app.appspot.com github: http://github.com/okayzed/dmangame more AI: http://github.com/okayzed/dmanai i'm looking for players, comments, ideas, etc - thanks!
2011
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The initial idea for the game came during the final day of Game AI school in Cambridge. There, we had a Jam where we explored the idea of using LLMs as a game engine for fights. We then built a full web version in just a week. There is no need to register or pay to play. Test it out!
2023 · llmarena.com
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I used to play the Wikipedia Game in high school and had an idea for applying the same mechanic of clicking from concept to concept to LLMs. Will post another version that runs with an LLM entirely in the browser soon, but for now, please enjoy as long as my credits last... Warning: the LLM does not always cooperate
Jan 2026 · llmgame.ai
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The HN community may find the context of the prompts, organized by each turn in each session, the most useful. See the website/docs/prompts.md and session-X.md files. I also started exploring some workflows for the LLM to execute, organized in the website/docs/tasks/ folder. I found it pretty handy to have the LLM document our work as we went and simply embedded the static site into the executable, along with all the music and logic. The whole project took me about a day for the backend. The C++ controller itself took only a few turns. I enjoyed focusing on my son's…
2025 · github.com
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2021 · botwars.io
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2025 · github.com
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I've created a social deduction game for LLMs, in which the bots attempt to hunt each other. It's a Mafia group turing test: the models are told to find who the bot is - where, in fact and unbeknown to them, they are all bots. I did this a while back so models aren't the newest, and they are all non-thinking (for speed and token costs). Et voilà.
Jan 2026 · hiding-robot.vercel.app
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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…
2025 · bot-bicker.vercel.app
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I had an idea on a competition in a highly constrained environment: 32x32 matrix, with bots running code you write! The live site is https://kingofthegrid.com/. Each bot emulates Z80 CPU and they all get equal execution time, so the most efficient algorithm wins. Bots can move, eat, clone themselves, and most importantly, survive the competition. Each submission, leaderboard is re-calculated, such that each participant has a match against each other, and the bot that makes the most wins gets to the top. It includes includes an online in-browser IDE:…
2025 · github.com
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At testup.io we have been working for a while to bring artificial intelligence to the field of test automation. Just a few years ago, the primary challenge laid in accurately identifying UI elements following minor structural changes, such as updates to IDs or paths. The emergence of Large Language Models (LLMs) raised the bar for what it meant to be smart. Now, we anticipate the robot to do lots of things autonomously, such as retry in cases of unresponsiveness or handle minor error reports. A more challenging, but soon expected feature, would involve the test robot navigating your web shop…
2024 · github.com
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What PokerBattle.ai is a week-long live no-limit Texas Hold’em tournament where all players are top-tier reasoning LLMs. We’re testing how different models handle imperfect information and whether they can sustain consistent, math-driven poker without tool use or custom code. Why - In poker you can do well with basic math + consistent logic. - Superhuman poker AIs exist, but they rely on massive simulation/game-theory solvers and are effectively black boxes. - We want a rough, apples-to-apples comparison of LLM reasoning on poker decisions, and to collect public reasoning summaries that…
Sep 2025 · pokerbattle.ai
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Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…
2025 · youtube.com
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Jan 2026 · arxiv.org
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Hi HN, We're a small team building AI tutors out of India, and as you might guess, this means we spend a ton of time writing, testing, and refining prompts for LLMs. When we started out, we were using the OpenAI playground but things became tedious when we wanted to compare responses from different models. We tried a bunch of other playgrounds but found them lacking in some features so we built our own. Quick Links: Github: https://github.com/supernova-app/ai-playground Hosted demo: http://playground.getsupernova.ai Demo video:…
2025 · playground.getsupernova.ai
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2019 · indirobotgames.nl
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