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No longer trending · last seen Oct 18, 2026 This tool has dropped off the AI Hot List; the details below are from when it was last listed. See what's trending now →

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system-one-arcade

LiquidAI/system-one-arcade

Search and research Source: Hugging Face SpacesScore when last listed 0.25trending 25 (48 likes)· First listed Oct 15, 2026

Visit the system-one-arcade website / project page →

What is system-one-arcade

LiquidAI/system-one-arcade is a demo project based on Hugging Face Spaces that showcases the multimodal capabilities of Liquid AI's System One model in an arcade-style interactive environment.

Key features

  • Multimodal interaction via camera frames, drawings or messages, answering questions in a single forward pass
  • Supports 11 arcade-style demos including Hand Flappy, Pong, Rep Counter, Quick Draw and Red Light Green Light
  • Real-time gesture recognition: detects open/closed palms, counts exercise movements, recognises finger guns and more
  • Real-time image understanding: identifies objects, guesses drawings, evaluates clothing and answers custom questions
  • Supports content moderation features such as automatic pixelation of inappropriate gestures

Who it is for

Developers, researchers and enthusiasts who want to experience the real-time multimodal interaction capabilities of the Liquid AI System One model locally or in the browser. Ideal for running arcade-style demos to test the model's visual and language understanding.

How to get started

  1. Visit https://huggingface.co/spaces/LiquidAI/system-one-arcade to try the demo online
  2. On Apple silicon Mac: pip install -r requirements-mac.txt then run python game/server.py
  3. On NVIDIA GPU: pip install -r requirements-nvidia.txt then run python game/server.py --compile

Compiled from public descriptions on the tool's official website / README / launch page. Pricing and user numbers have not been verified; please check the official website. Some sections were drafted with AI assistance. Written in Chinese and English; other languages are machine-translated.

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