{
  "video_id": "reddit_1w5eez1",
  "channel_slug": "singularity",
  "channel_handle": "r/singularity",
  "title": "Introducing Gemini 3.8 Flash and 3.8 Flash Cyber",
  "url": "https://www.reddit.com/r/singularity/comments/1w5eez1/introducing_gemini_38_flash_and_38_flash_cyber/",
  "external_url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/",
  "upload_date": "20260902",
  "published_at": "2026-09-02T15:58:20+00:00",
  "transcript": "\n\n--- Top Comments ---\n\n\n[89 upvotes] I said enough flash models   \n\n\nhttps://preview.redd.it/7o2nz0dhr4nh1.jpeg?width=236&format=pjpg&auto=webp&s=c8b4b127d1e54ef986d386000f95b43c809e2ee8\n\n[81 upvotes] Wow,\n\nThis model, especially the cyber one, looks really competent.\n\nI might switch to Gemini for my legal task job too. At least I'll try (currently using Sol Max for that).\n\nEdit: Tried it on Gemini website, still average because how lazy Gemini is. It might be better in api. \n\n[76 upvotes] I'm imagining that the flash models are much quicker and cheaper to iterate new changes on.  Given how many customers and surfaces the models have to serve it makes sense to pump the cheaper models instead of attempting to be in the lead for a few weeks tops.\n\nWhen Google have the model architecture in place to decide \"good enough\" to do the big spend required on the next pro level model then we will likely see it. \n\nFrom a business perspective this makes sense IMO\n\n[25 upvotes] Might go epileptic with all this flashing ",
  "transcript_chars": 1022,
  "ingested_at": "2026-09-03T01:30:18.885966+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 337,
    "upvote_ratio": 0.98,
    "num_comments": 84,
    "author": "Jame92",
    "is_self": false
  }
}