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Doom runs on Qwen large language model weights

A user has successfully run the classic video game Doom within the Qwen large language model. This achievement was inspired by a previous project that created a virtual machine inside the Qwen model. While the performance is described as slow, the demonstration shows Doom operating directly on the LLM. AI

IMPACT Demonstrates novel applications and potential for LLMs beyond traditional text generation.

RANK_REASON User-created demonstration of running a game within an LLM.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Doom runs on Qwen large language model weights

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-created demonstration of running a game within an LLM.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/mapestree ·

    I ran Doom inside the Qwen model weights!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xi2jfm/i_ran_doom_inside_the_qwen_model_weights/"> <img alt="I ran Doom inside the Qwen model weights!" src="https://external-preview.redd.it/MDYza2t5bWg5YXloMdBeKqmO0eMrpbZaTT8Qf99Ja_wcriGFEJsgtBGkPW-t.png?w…