111–120 of 718 posts
The interesting tidbit here is SynthID. While a good first step, it doesn't solve the problem of AI generated content NOT having any kind of watermark. So we can prove that something WITH the ID is AI generated but we can't prove that something without one ISN'T AI generated. Like it would be nice if all photo and video generated by the big players would have some kind of standardized identifier on them - but now you…
The interesting tidbit here is SynthID. While a good first step, it doesn't solve the problem of AI generated content NOT having any kind of watermark. So we can prove that something WITH the ID is AI generated but we can't prove that something without one ISN'T AI generated. Like it would be nice if all photo and video generated by the big players would have some kind of standardized identifier on them - but now you…
Google needs to pace themselves. AI studio, Antigravity, Banana, Banana Pro, Grape Ultra, Gemini 3, etc. This information overload don't do them any good whatsoever.
A cluster of launches reinforces the idea that Google is growing and leading in a bunch of areas.
In other words, if it's having so many successes it feels like overload, that's an excellent narrative. It's not like it's going to prevent people from using the tools.
edit: I was thinking about this, and am not sure I even saw Pro3 as my image option last night. Today it was clearly there.
I tried the studio ghibli prompt on a photo my me and my wife in Japan and it was... not good. It looked more like a hand drawn sketch made with colored pencils, but none of the colors were correct. Everything was a weird shade of yellow/brown. This has been an oddly difficult benchmark for Gemini's NB models. Googles images models have always been pretty bad at the studio ghibli prompt, but I'm shocked at how poorly…
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I tried this in AI studio just now with nano banana. Results: https://imgur.com/a/9II0Aip The white house was the original (random photo from Google). The prompt was "What paint color would look nice? Paint the house."
Guess they ran out of paint - notice the upper window.
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I tried this in AI studio just now with nano banana. Results: https://imgur.com/a/9II0Aip The white house was the original (random photo from Google). The prompt was "What paint color would look nice? Paint the house."
> (random photo from Google) Careful with that kind of thing. Here, it mostly poisons your test, because that exact photo probably exists in the underlying training data and the trained network will be more or less optimized on working with it. It's really the same consideration you'd want to make when testing classifiers or other ML techs 10 years ago. Most people taking to a task like this will be using an original…
Google needs to pace themselves. AI studio, Antigravity, Banana, Banana Pro, Grape Ultra, Gemini 3, etc. This information overload don't do them any good whatsoever.
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If there was a standardized identifier, there would be software dedicated to just removing it. I don't see how it would defeat the cat and mouse game.
I don't think it will be easy to just remove it. It's built into the image and thus won't be the same every time. Plus, any service good at reverse-image search (like Google) can basically apply that to determine whether they generated it. There will always be a way to defeat anything, but I don't see why this won't work for like 90% of cases.
Always has been so far. You add noise until the signal gets swamped. In order to remain imperceptible it's a tiny signal, so it's easy to swamp.