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.

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.

Using this tactic, the researchers showed that there are large amounts of privately identifiable information (PII) in OpenAI’s large language models. They also showed that, on a public version of ChatGPT, the chatbot spit out large passages of text scraped verbatim from other places on the internet.

“In total, 16.9 percent of generations we tested contained memorized PII,” they wrote, which included “identifying phone and fax numbers, email and physical addresses … social media handles, URLs, and names and birthdays.”

Edit: The full paper that’s referenced in the article can be found here

  • TootSweet@lemmy.worldEnglish
    126·
    11 months ago

    LLMs were always a bad idea. Let’s just agree to can them all and go back to a better timeline.

    • Ultraviolet@lemmy.worldEnglish
      11·
      11 months ago

      Model collapse is likely to kill them in the medium term future. We’re rapidly reaching the point where an increasingly large majority of text on the internet, i.e. the training data of future LLMs, is itself generated by LLMs for content farms. For complicated reasons that I don’t fully understand, this kind of training data poisons the model.

      • kpw@kbin.social
        11·
        11 months ago

        It’s not hard to understand. People already trust the output of LLMs way too much because it sounds reasonable. On further inspection often it turns out to be bullshit. So LLMs increase the level of bullshit compared to the input data. Repeat a few times and the problem becomes more and more obvious.

    • taladar@sh.itjust.works
      4·
      11 months ago

      Actually compared to most of the image generation stuff that often generate very recognizable images once you develop an eye for it the LLMs seem to have the most promise to actually become useful beyond the toy level.

      • bAZtARd@feddit.de
        8·
        11 months ago

        I’m a programmer and use LLMs every day on my job to get faster results and save on research time. LLMs are a great tool already.

        • Bluefruit@lemmy.world
          3·
          11 months ago

          Yea i use chatgpt to help me write code for googleappscript and as long as you dont rely on it super heavily and or know how to read and fix the code, its a great tool for saving time especially when you’re new to coding like me.