551–560 of 1001 posts
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The faces...that's nice that it turned a kid's book into an abomination
By image generation standards this is a ridiculously good result. No surprise that people instantly find the new limits, but they are new limits.
Are camera manufacturers working on signed images? That seems like the only way our trust in any digital media doesn't collapse entirely.
Ultimately even with that tech, you can still take a photo of an AI generated scene. Maybe coupled with geolocation data in the signature or something it might work.
Kind of like showing the proctor around your room with your webcam before starting the exam.
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I think legacy media stands a chance at coming back as long as they maintain a reputation of deeply verifying images, not being fooled.
Are camera manufacturers working on signed images? That seems like the only way our trust in any digital media doesn't collapse entirely.
Signed images don’t get you much. You can just hardwire the image sensor to a computer and sign raw pixels.
Taking a picture of an AI generated image aside, theoretically could Apple attest to origin of photos taken in the native camera app and uploaded to iCloud?
Fascinating, by the way, thank you!
And here I was proud of myself, having taught my mom and her friends how to discern real from fakes they get on WhatsApp groups. Another even more powerful tool for scammers. I'm taking a break.
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I think we are just going to have to accept that realistic images can be easily fabricated now. Seeing is not believing anymore, and I don't think SynthID or anything like it can restore that trust in images.
It's going to mess up accountability. Some politician will be recorded doing something & he'll have his people release a thousand photos/videos of him doing crimes. And they'll say, look, it's a smear campaign. This is just one stupid example, but people will have better schemes. Also global coordinated releases of fake content and hypertargeted possibly abusive content. Virtual kidnappings will take off, automated &…
And his enemies will do the same, hopefully resulting in less blind trust for everyone in the population, which can only be a good thing.
So during my Nano Banana Pro experiments I wrote a very fun prompt that tests the ability for these image generation models to follow heuristics, but still requires domain knowledge and/or use of the search tool: Create a 8x8 contiguous grid of the Pokémon whose National Pokédex numbers correspond to the first 64 prime numbers. Include a black border between the subimages. You MUST obey ALL the FOLLOWING rules for th…
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What would make the prompt a better actual evaluation in your judgement?
Genuine question: what positive use cases are sufficient to accept the harm from image generators? One that i can think of: - replacing photography of people who may be unable to consent or for whom it may be traumatic to revisit photographs and suitable models may not be available, e.g. dementia patients, babies, examples of medical conditions. Most other vaguely positive use cases boil down to "look what image gene…
There are many use-cases outside of spam and slop. For example, take a picture of your garden. Ask chatgpt to give you ideas how to improve it and a step by visual guide. Anything that can be expressed visually is effectively target for this technology - this covers pretty much everything.
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I just got a much better version using this command instead, which uses the maximum image size according to https://github.com/openai/openai-cookbook/blob/main/examples... OPENAI_API_KEY="$(llm keys get openai)" \ uv run 'https://raw.githubusercontent.com/simonw/tools/refs/heads/main/python/openai_image.py' \ -m gpt-image-2 \ "Do a where's Waldo style image but it's where is the raccoon holding a ham radio" \ --quali…
I tried it on the ChatGPT web UI and it also worked, although the ham radio looks like a handbag to me. https://postimg.cc/wyxgCgNY