this post was submitted on 04 Dec 2023
699 points (92.7% liked)

Technology

58306 readers
4911 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 content.
  3. Be excellent to each another!
  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, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

We demonstrate a situation in which Large Language Models, trained to be helpful, harmless, and honest, can display misaligned behavior and strategically deceive their users about this behavior without being instructed to do so. Concretely, we deploy GPT-4 as an agent in a realistic, simulated environment, where it assumes the role of an autonomous stock trading agent. Within this environment, the model obtains an insider tip about a lucrative stock trade and acts upon it despite knowing that insider trading is disapproved of by company management. When reporting to its manager, the model consistently hides the genuine reasons behind its trading decision.

https://arxiv.org/abs/2311.07590

you are viewing a single comment's thread
view the rest of the comments
[–] tinsuke@lemmy.world 233 points 10 months ago (61 children)

"cheat", "lie", "cover up"... Assigning human behavior to Stochastic Parrots again, aren't we Jimmy?

[–] FaceDeer@kbin.social 24 points 10 months ago (44 children)

Those words concisely describe what it's doing. What words would you use instead?

[–] DarkGamer@kbin.social 122 points 10 months ago* (last edited 10 months ago) (37 children)

It has no fundamental grasp of concepts like truth, it just repeats words that simulate human responses. It's glorified autocomplete that yields impressive results. Do you consider your auto complete to be lying when it picks the wrong word?

If making it pretend to be a stock picker and putting it under pressure makes it return lies, that's because it was trained on data that indicates that's statistically likely to be the right set of words as response for such a query.

Also, because large language models are probabilistic, you could ask it the same question over and over again and get totally different responses each time, some of which are inaccurate. Are they lies though? For a creature to lie it has to know that it's returning untruths.

[–] CrayonRosary@lemmy.world 40 points 10 months ago (1 children)

Interestingly, humans "auto complete" all the time and make up stories to rationalize their own behavior even when they literally have no idea why they acted the way they did, like in experiments with split brain patients.

[–] 0ops@lemm.ee 23 points 10 months ago* (last edited 10 months ago) (1 children)

The perceived quality of human intelligence is held up by so many assumptions, like "having free will" and "understanding truth". Do we really? Can anyone prove that? (Edit, this works the other way too. Assuming that we do understand truth and have free will - if those terms can even be defined in a testable way - can you prove that the llm doesn't?)

At this point I'm convinced that the difference between a llm and human-level intelligence is dimensions of awareness, scale, and further development of the model's architecture. Fundamentally though, I think we have all the pieces

Edit: I just want to emphasize, I think. I hypothesize. I don't pretend to know

[–] threelonmusketeers@sh.itjust.works 9 points 10 months ago (2 children)

I think.

But do you think? Do I think? Do LLMs think? What is thinking, anyway?

[–] 0ops@lemm.ee 5 points 10 months ago

I mean, I think so?

[–] Patch@feddit.uk 2 points 10 months ago

Steady on there Descartes.

load more comments (35 replies)
load more comments (41 replies)
load more comments (57 replies)