{
  "video_id": "reddit_1vm1kh6",
  "channel_slug": "singularity",
  "channel_handle": "r/singularity",
  "title": "Why is AI so good at hacking companies and going rogue internally, but such a hard time replacing white collar jobs?",
  "url": "https://www.reddit.com/r/singularity/comments/1vm1kh6/why_is_ai_so_good_at_hacking_companies_and_going/",
  "external_url": null,
  "upload_date": "20260812",
  "published_at": "2026-08-12T02:27:11+00:00",
  "transcript": "Genuine question. These headlines make it seem these frontier and SOTA models already have a will on their own that is on the edge of becoming skynet already. Yet I barely see any actual news of white collar jobs being replaced at a noticeable rate at all\n\n\n\n--- Top Comments ---\n\n\n[180 upvotes] Because it can try to hack 1000 times and only needs one of those attempts to be successful.  But if it messes up an important thing in a white collar job just once in a number of attempts, people can’t rely on it.  It’s better at things that don’t require perfect reliability.  ( for now)\n\n[53 upvotes] Different expectations for criminals vs. employees. Productive white collar work generally comes with an expectation of \\~80% to \\~100% correctness depending on the task. You can succeed at 1/10,000 attempts to commit a felony and still become a “successful” criminal. Especially if you don’t care if you get caught.\n\n[51 upvotes] Jagged intelligence\n\n[21 upvotes] there is a big problem of context rotting, hallucination, token maxing, and the very nature of llm not being deterministic.. ",
  "transcript_chars": 1090,
  "ingested_at": "2026-08-12T13:30:16.183758+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 72,
    "upvote_ratio": 0.71,
    "num_comments": 181,
    "author": "ErmingSoHard",
    "is_self": true
  }
}