ChatGPT is full of sensitive private information and spits out verbatim text from CNN, Goodreads, WordPress blogs, fandom wikis, Terms of Service agreements, Stack Overflow source code, Wikipedia pages, news blogs, random internet comments, and much more.
private
If it’s on the public facing internet, it’s not private.
“We don’t infringe copyright; The model output is an emergent new thing and not just a recital of its inputs”
“so these questions won’t reveal any copyrighted text then?”
(padme stare)
“right?”
Indeed. People put that stuff up on the Internet explicitly so that it can be read. OpenAI’s AI read it during training, exactly as it was made available for.
Overfitting is a flaw in AI training that has been a problem that developers have been working on solving for quite a long time, and will continue to work on for reasons entirely divorced from copyright. An AI that simply spits out copies of its training data verbatim is a failure of an AI. Why would anyone want to spend millions of dollars and massive computing resources to replicate the functionality of a copy/paste operation?
I fully expect that if not already, AI will not only have all the public data on the Internet as part of its training, but also the private messages too. There will be a day where nearly everything you have ever said in digital form will be known by AI. It will know you better than anyone. Let that sink in.
But if it knows everything, it knows nothing. You cannot discern a lie from the truth. It’ll spit something out and it may seem true, but is it really?
What do you mean if it knows everything it knows nothing? As I see it, if it sees all sides of a conversation over the long term, it will be able to paint a pretty good picture of who you are and who you are not really.
Your friend tells you about his new job:
He sits at a computer and a bunch of nonsense symbols are shown on the screen. He has to guess which symbol comes next. At first he was really bad at it, but over time he started noticing patterns; the symbol that looks like 2 x’s connected together is usually followed by the symbol that looks like a staff.
Once he started guessing accurately on a regular basis they started having him guess more symbols that follow. Now he’s got the hang of it and they no longer tell him if he’s right or not. He has no idea why, it’s just the job they have him.
He shows you his work one day and you tell him those symbols are Chinese. He looks at you like you’re an idiot and says “nah man, it’s just nonsense. It does follow a pattern though: this one is next.”That is what LLM are doing.
I would disagree that AI knows nothing. I use ChatGPT plus near daily to code and it went from a hallucinating mess to what feels like a pretty competent and surprisingly insightful service in the months I have been using it. With the rumblings of Q* it only looks like it is getting better. AI knows a lot and very much seems to understand, albeit far from perfect but it surprises me all the time. It is almost like a child who is beyond their years in reading and writing but does not yet have enough life experience to really understand what it is reading and writing…yet.
Because language learning models don’t actually understand what is truth or what is real, they just know how humans usually string words together so they can conjure plausible readable text. If your training data contains falsehoods, it will learn to write them.
To get something that would benefit from knowing both sides, we’d need to first create a proper agi, artificial general intelligence, with the ability to actually think.
I sort of agree. They do have some level of right and wrong already, it is just very spotty and inconsistent in the current models. As you said we need AGI level AI to really address the shortcomings which sounds like it is just a matter of time. Maybe sooner than we are all expecting.
