this post was submitted on 02 Sep 2026
319 points (98.8% liked)

Technology

87773 readers
4063 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 3 years ago
MODERATORS
L3s@lemmy.world
enu@lemmy.world
technopagan@lemmy.world
L4s@lemmy.world
L3s@hackingne.ws
319
US government sides with OpenAI on issue of training LLMs on copyrighted material: »it is critical for the United States to ‘retain global leadership in artificial intelligence.« (techcrunch.com)
submitted 14 hours ago* (last edited 14 hours ago) by eicker@lemmy.world to c/technology@lemmy.world
81 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] Not_mikey@lemmy.dbzer0.com 3 points 9 hours ago (2 children)

Can you reasonably train a local model? Inference is one thing and can be run on a decent gaming graphics card but training requires a lot more compute.

[–] Dran_Arcana@lemmy.world 2 points 5 hours ago

You can absolutely train a nontrivial task model on a gaming gpu (image classifier, sound classifier, text model with a very structured input and output, etc). You can also post-train addon layers on top of existing open-weight models (LORA).

[–] frongt@lemmy.zip 3 points 8 hours ago

Depends on the size of the training data, how big the resulting model is, and how fast you want it to finish.