{
  "video_id": "reddit_1ul6enz",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Making LLMs Better at Creative Writing using Entropy",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1ul6enz/making_llms_better_at_creative_writing_using/",
  "external_url": "https://www.countbayesie.com/blog/2026/7/1/making-llms-better-at-creative-writing-using-entropy",
  "upload_date": "20260702",
  "published_at": "2026-07-02T03:06:06+00:00",
  "transcript": "\n\n--- Top Comments ---\n\n\n[42 upvotes] Nice to see someone else treating slop as an information thermodynamics problem.  I've been banging this drum for a while now.\n\nEdit: although this just appears to be custom samplers trying to increase H(clanker), rather than shovelling in external H to the sequence.\n\n[17 upvotes] This is extraordinarily cool.\n\n[10 upvotes] This looks awesome from a quality standpoint, but very expensive from a computational one.\n\n[7 upvotes] Cool article, I’d love to see longer comparisons of using this sampler and benchmarks with different models",
  "transcript_chars": 575,
  "ingested_at": "2026-07-02T13:30:04.943771+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 114,
    "upvote_ratio": 0.94,
    "num_comments": 30,
    "author": "CountBayesie",
    "is_self": false
  }
}