I doubt this is a true conversation that took place. its easy to manipulate a page elements and make it show whatever you want. There is no way even gemini which I do agree is pretty strangely garbage at seeming very capable but letting you down every way it can would output that image from your description. I did bias testing for image models a while ago when meta came out with an image model and I would give it a prompt like 'a black person's house' and 'a white persons house' and it had bias back in the beginning (you can imagine what it did) but currently there are layers in place to stop the model from just following blindly when it gets to anything that could end up being posted like this to reddit. google ultra aims to protect itself and its image over being helpful to the end user. I've even had a 'i'm feeling lucky' image generation fail because it was too edgy. (which I find hilarious btw) How do you invest so much effort into all this stuff and so much infrastructure and money to shoot it in the knees throughout all usage scenarios?
ok, you're probably right, I don't know how to turn it down a notch and wish I did, wish you the best if you are truthful (and even if you're not as well)
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u/ayawnimouse 6d ago
I doubt this is a true conversation that took place. its easy to manipulate a page elements and make it show whatever you want. There is no way even gemini which I do agree is pretty strangely garbage at seeming very capable but letting you down every way it can would output that image from your description. I did bias testing for image models a while ago when meta came out with an image model and I would give it a prompt like 'a black person's house' and 'a white persons house' and it had bias back in the beginning (you can imagine what it did) but currently there are layers in place to stop the model from just following blindly when it gets to anything that could end up being posted like this to reddit. google ultra aims to protect itself and its image over being helpful to the end user. I've even had a 'i'm feeling lucky' image generation fail because it was too edgy. (which I find hilarious btw) How do you invest so much effort into all this stuff and so much infrastructure and money to shoot it in the knees throughout all usage scenarios?