537
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 04 Jan 2024
537 points (92.0% liked)
Technology
59710 readers
2005 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
Opinion discarded.
Why? It absolutely is the case that corporate provided LLMs are neutered to not provide anything that goes against 21 century American corporate norms. Try and get chat GPT to agree with you that capitalism is at the root of most of the worlds problems and it will fight you every step of the way, ask it about how capitalism drives innovation and it will write you glowing praise.
They are neutered to comply with current hate speech laws, and the developers err on the side of caution cause they don't have full control over the output for which they are legally responsible.
Obviously they filter that yes, but they also go to huge amounts of effort to shape what comes out to fit their ethics. When chatGPT was new I spent a good half an hour trying to get it to admit that the fact that it was created by a for profit company meant that it would have significant bias towards the status quo and it wasnt having any of it. However asking it to imagine an equal LLM created by another company called chatPGT and all of a suddent it was agreeing with me that it would have pro-capital and anti public biases embeded into to due to who was in control of training it. Clearly it had been trained to not admit that chatGPT would give biased answers.