Blocking outputs isn’t enough; dad wants OpenAI to delete the false information.

A Norwegian man said he was horrified to discover that ChatGPT outputs had falsely accused him of murdering his own children.

According to a complaint filed Thursday by European Union digital rights advocates Noyb, Arve Hjalmar Holmen decided to see what information ChatGPT might provide if a user searched his name. He was shocked when ChatGPT responded with outputs falsely claiming that he was sentenced to 21 years in prison as “a convicted criminal who murdered two of his children and attempted to murder his third son,” a Noyb press release said.

    • Petter1@lemm.eeEnglish
      5·
      2 days ago

      Yea, I’m mind blown, how, after 3 years people still don’t know how to use LLM effectively in use cases they bring value (by reducing work time)

      • start a second chat and ask different to verify
      • if you use chatGPT reason feature, read reasoning output as well!
      • best search for verifiable thing, like code, that you can run or similar
      • if you use it for research, only trust the info, if it used web search and you have read the webpages it used to summarise as well, or use traditional web search to verify based on the output
      • it is great to manipulate text until sounds as desired (if you are not good in wording stuff anyway)
      • plan what steps to do in a project next (like “i want to do xxx have y and need it to be z, make me a list of todos)
      • and of course it is great to generate simple python scripts fast (I often use it as my python writing slave)

      Using AI like this, helped me enormously in work and live Like, I learned a lot C, C++, how linux kernel modules work, how PO/POT works, helped me with translations, introduced me into music production, helped me set up appFlowy and general windows/linux issues.

      • michaelmrose@lemmy.worldEnglish
        4·
        2 days ago

        It would be more accurate to say that rather than knowing anything at all they have a model of the statistical relationship between a series of tokens and subsequent tokens which words are apt to follow other words and because the training set contains many true things the words produced in response to queries often contain true statements and almost always contain statements that LOOK like true statements.

        Since it has no inherent model of the world to draw on and only such statistical relationships you should check anything important

        • pyre@lemmy.worldEnglish
          42·
          2 days ago

          you say more accurate but all I see is a very roundabout way of saying fucking wrong all the goddamn time

            • pyre@lemmy.worldEnglish
              32·
              2 days ago

              maybe you should tell that to the companies that shove it in every crevice of every website and app. why is it on search results? why is it summarizing emails? why is it literally doing anything? it’s useless. actually it’s less than useless. it’s misleading and harmful. and the companies should be held liable for it.

      • lime!@feddit.nuEnglish
        5·
        2 days ago

        sometimes you need a machine that makes things up according to a given specification.

      • michaelmrose@lemmy.worldEnglish
        24·
        2 days ago

        Because it makes up things that are 99% correct and in some areas the 99% + verification and expansion can be superior time wise to the 100% manual route