LLM Agent Driven by Qwen Beat Wikipedia Game in Six Clicks
A Reddit user demonstrated an AI agent powered by Qwen navigating between unrelated Wikipedia articles using Playwright browser automation. The model successfully reached its designated target article in just six clicks without using search bars or backtracking. Although an informal community test, the experiment illustrates how open-weight LLMs combined with browser automation tools can execute multi-step forward reasoning and web navigation. It serves as a practical, lightweight scenario for testing agentic planning capabilities in local language models. The agent was strictly limited to 10 forward-only hyperlink clicks inside Wikipedia, with search functions and external links disabled. Operating inside the OpenCode coding environment, the model used Playwright to select and click relevant context links on each page.
## BACKGROUND
The Wikipedia game is a popular online challenge where players try to navigate between two completely unrelated articles using only internal page links. Qwen is a family of open-weight large language models developed by Alibaba Cloud that can be paired with browser automation tools like Playwright to build autonomous web agents.