this post was submitted on 20 Jul 2023
663 points (97.4% liked)
Technology
59288 readers
4375 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
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
ChatGPT generates responses that it believes would "look like" what a response "should look like" based on other things it has seen. People still very stubbornly refuse to accept that generating responses that "look appropriate" and "are right" are two completely different and unrelated things.
In order for it to be correct, it would need humans employees to fact check it, which defeats its purpose.
It really depends on the domain. Asking an AI to do anything that relies on a rigorous definition of correctness (math, coding, etc) then the kinds of model that chatGPT just isn't great for that kinda thing.
More "traditional" methods of language processing can handle some of these questions much better. Wolfram Alpha comes to mind. You could ask these questions plain text and you actually CAN be very certain of the correctness of the results.
I expect that an NLP that can extract and classify assertions within a text, and then feed those assertions into better "Oracle" systems like Wolfram Alpha (for math) could be used to kinda "fact check" things that systems like chatGPT spit out.
Like, it's cool fucking tech. I'm super excited about it. It solves pretty impressively and effiently a really hard problem of "how do I make something that SOUNDS good against an infinitely variable set of prompts?" What it is, is super fucking cool.
Considering how VC is flocking to anything even remotely related to chatGPT-ish things, I'm sure it won't be long before we see companies able to build "correctness" layers around systems like chatGPT using alternative techniques which actually do have the capacity to qualify assertions being made.
That's kind of the whole point of RLHF though
That’s not necessarily true: https://arstechnica.com/google/2023/06/googles-bard-ai-can-now-write-and-execute-code-to-answer-a-question/. If the question gets interpreted correctly and it manages to write working code to answer it, it could correctly answer questions that it has never seen before.