this post was submitted on 21 Aug 2025
814 points (98.6% liked)

Technology

74331 readers
2955 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots


founded 2 years ago
MODERATORS
 

Paywall bypass: https://archive.is/oWcIr

you are viewing a single comment's thread
view the rest of the comments

So... I actually proposed a use case for NLP and LLMs in 2017. I don't actually know if it was used.

But the usecase was generating large sets of fake data that looked real enough for performance testing enterprise sized data transformations. That way we could skip a large portion of the risk associated with using actual customer data. We wouldn't have to generate the data beforehand, we could validate logic with it, and we could just plop it in the replica non-prodiction environment.

At the time we didn't have any LLMs. So it didn't go anywhere. But it's always funny when I see all this "LLMs can do x" because I always think about how my proposal was to use it... For fake data.