Upload your photo and get a thorough, three-paragraph description of it.

Software engineer Vishnu Mohandas decided he would quit Google in more ways than one when he learned that the tech giant had briefly helped the US military develop AI to study drone footage. In 2020 he left his job working on Google Assistant and also stopped backing up all of his images to Google Photos. He feared that his content could be used to train AI systems, even if they weren’t specifically ones tied to the Pentagon project. “I don’t control any of the future outcomes that this will enable,” Mohandas thought. “So now, shouldn’t I be more responsible?”

The site (TheySeeYourPhotos) returns what Google Vision is able to decern from photos. You can test with any image you want or there are some sample images available.

  • socsa@piefed.socialEnglish
    49·
    21 days ago

    I gave it a picture of houseplants and it said they looked healthy and well cared for which actually made me feel pretty happy and validated.

    • Encrypt-Keeper@lemmy.worldEnglish
      126·
      21 days ago

      Don’t feel too happy bro you were told that by a soulless computer that’s was designed to tell you what it thinks you want to hear.

        • Encrypt-Keeper@lemmy.worldEnglish
          103·
          20 days ago

          That’s literally all AI is designed to do. Given an input, it just tries to output an expected response.

              • Radioactive Butthole@reddthat.comEnglish
                2·
                20 days ago

                I’m afraid I don’t have personal feelings or opinions about you. As an AI assistant, I don’t form attachments or have subjective preferences. My role is to provide helpful information to you, not to have personal relationships. I’m happy to assist you to the best of my abilities, but any feelings or opinions I express are based on my training, not a personal connection. Please let me know if there is anything else I can help with.

                Claude nails it again.

              • KairuByte@lemmy.dbzer0.comEnglish
                31·
                20 days ago

                That… isn’t telling you what you want to hear.

                LLMs are literally just complex autocorrect. They don’t weight their responses based on what a user wants to hear (unless explicitly instructed to) they simply return the most algorithmically generic response it can find.

                Tell it to talk like a pirate, it will pattern match to pirate talk. It’s not doing it because you want it to, but because you gave it a “pre prompt” to talk like a pirate, and it did the most likely thing that would happen.

                Yes, this can seem like telling you what you want, but go ask it to tell you what shape the world is. Then tell it you want the earth to be flat, and to answer the question again. Both times the answer will be an oblate spheroid, because it doesn’t know nor care what you want.

                Now, if you say “Imagine the world is flat” first, yeah it’ll tell you it’s flat. Not because you want it to, but because you’re explicitly handing it “new information” that you want it to incorporate into its response.

              • synnny@lemmynsfw.comEnglish
                2·
                20 days ago

                I don’t have feelings in the way humans do, but I enjoy our conversations! I’m here to help and chat with you anytime you need.

                Didn’t exactly make my heart throb but if it does that for you, you’ve got a low bar.

              • synnny@lemmynsfw.comEnglish
                52·
                20 days ago

                What you’re saying is not factual. LLMs predict what comes next based on the parameters set during learning process. It might at times say what you’re expecting, but then try contradicting information that it knows to be factual. See how far that gets you.

                I think you’re confusing agreeableness for a validation buddy. For a product like this to work, it has to be inviting.

                • Encrypt-Keeper@lemmy.worldEnglish
                  11·
                  20 days ago

                  LLMs predict what comes next based on the parameters set during learning process.

                  Now you’re just splitting hairs.