{
  "video_id": "reddit_1ue5149",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1ue5149/qwenagentworld35ba3b_a_3bactive_moe_trained_to/",
  "external_url": null,
  "upload_date": "20260624",
  "published_at": "2026-06-24T05:52:40+00:00",
  "transcript": "Qwen just released Qwen-AgentWorld-35B-A3B — a 35B-parameter MoE with only \\~3B active parameters per token.\n\nThe interesting part: this is not positioned as a standard chat/instruction model or a full autonomous agent. It is a language world model trained to predict what an environment would return after an agent takes an action.\n\nIt covers seven agent interaction domains:\n\nMCP / tool calling\n\nSearch\n\nTerminal\n\nSoftware engineering\n\nAndroid\n\nWeb\n\nOperating-system GUI interactions\n\nThe intended use seems to be simulating the environment side of an agent loop: given the action history and a new tool/GUI action, predict the next observation/state. That could be useful for agent training, offline evaluation, synthetic trajectories, testing tool-use workflows, or building sandbox-like environments without constantly running the real tools.\n\n[huggingface link](https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B)\n\n\n\n--- Top Comments ---\n\n\n[20 upvotes] inb4 in the training set they just swapped user and assistant roles\n\n[17 upvotes] Hmm interesting so you say given the users command “ls -la” predict the terminal output.  So you might use this for evals as well to mock some of the actions. I’ll have to keep my eye on this one.\n\n[8 upvotes] That's really intersting! Is that a new concept? I know LeCun is working on a world model. But applying directly to llm thinking and training seems completely novel and their benchmarks results are very promising! This could lead a big leap in capabilities if this is not something the other SOTA labs are already doing behind the scenes.",
  "transcript_chars": 1590,
  "ingested_at": "2026-06-24T13:30:06.097582+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 143,
    "upvote_ratio": 0.96,
    "num_comments": 28,
    "author": "nikhilprasanth",
    "is_self": true
  }
}