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#image#images#synthid#watermark#don#generated#remove#model#google#watermarks

Discussion (175 Comments)Read Original on HackerNews

himata4113•about 22 hours ago
if you tell it to generate the AI image with a black background you can visually see the synthid with a good enough monitor, it's just a repeating fuzzy pattern, nothing special.

I have found great success of getting rid of it by masking every 2nd pixel, regenerating missing pixels and then once again masking every 2nd pixel offset by 1.

Used an off the shelf model to fill in the pixels, but I also exported a depthmap first (before any alternations) and denoised it so generated masked pixels comform to the original content. The result was obviously not 100% perfect, but with more time and a model fine tuned for this specific use-case would be able to remove any kind of ai watermarking without too many issues.

teravor•about 21 hours ago
i wouldn't have any confidence in being able to remove a 0.5 bit watermark (presence/absence). what you see is probably a functional decoy.
yorwba•about 13 hours ago
You can use the verification tool to check whether the watermark is still detectable and iterate until you successfully removed it .

Of course if you need to regenerate the image with an unwatermarked image-generation model to remove it, it more or less still serves its purpose.

tux3•about 12 hours ago
How confident are you that the verification tool detects all of the watermark, and not just one layer?

I would layer two watermarks and let the public remove the most visible one.

ZiiS•about 13 hours ago
A better way of looking at it is you only need to introduce a .5 bit error.
userbinator•about 20 hours ago
but with more time and a model fine tuned for this specific use-case would be able to remove any kind of ai watermarking without too many issues.

Always amusing to see AI used against itself.

dyauspitr•about 14 hours ago
So it actually affects the quality of the image. Well, that sucks.
unglaublich•about 14 hours ago
What would be the alternative? If you would store more information without affecting image quality, then compression would remove this information again while retaining the image quality. You will _have_ to alter the 'visible' image to store information.
dyauspitr•about 13 hours ago
Yeah I get that anything short of an alteration of the entire surface of the image is reversible. Still, the fact that it is visible sucks.
himata4113•about 4 hours ago
a model trained specifically for this would not have accuracy loss ~99% identical if I had to guess I got to around 85%.
cryptoegorophy•about 17 hours ago
Can an image just be stretched or compressed a very tiny bit?
m00dy•about 18 hours ago
It’s definitely hackable, Some of our engineers worked on this long time ago

https://deepwalker.xyz/blog/bypassing-synthid-in-gemini-phot...

noodlesUK•about 9 hours ago
I'm shocked that someone would write a blog post like this in which they openly admit to something that is widely understood to be fraud. Even if I'm sympathetic to why this individual chose to do this, and the technical side is interesting, I think the decision to just publicly tell a story in which you criminally defraud the villain is not a choice I'd ever make.
himata4113•about 7 hours ago
It appears that this company already does fraud so they're most likely comfortable with fraud. It seems normal in isolation, but from an outside lense it's crazy.
VortexLain•about 15 hours ago
Conducting insurance fraud? What a usecase.
unglaublich•about 14 hours ago
You'd be surprised how many people use AI to commit such insurance fraud.
DroneBetter•about 12 hours ago
it would be nice to show an amplified pixelwise difference between the before and after images
tantalor•about 21 hours ago
But why
noir_lord•about 21 hours ago
Because we are on Hacker News.
tantalor•about 21 hours ago
good point
neksn•about 9 hours ago
Interestingly, using AI Studio with the gemini-2.5-flash-image model and asking it to generate a "completely black image" fails with the message "Image recitation block," which has zero hits in Google.
jmole•about 8 hours ago
"image recitation block" means they are blocking generation of images that already exist in their database (training data).
neksn•about 8 hours ago
Just to confirm, what this means is that the training data contains one or multiple pitch black images, and their system is refusing to reproduce them verbatim?
big_toast•about 24 hours ago
What information is included in the metadata or SynthID? How many bits can be encoded in a SynthID?

Can it be used to create something like nutritional labels for synthetic content? 10% synthetic text, 30 synthetic images.

Your reality was 15% synthetic today (75% mega corp, 25% open-weight neocloud).

big_toast•about 23 hours ago
I guess the SynthID-Image paper from Oct 2025[0] was an encoder-decoder for which they tested checking a flag or a 136 bit payload in 512x512 images and the watermark's robustness after various transformations.

Presumably the deployed version is meaningfully different.

[0]:https://arxiv.org/html/2510.09263v1

echelon•about 22 hours ago
This is very similar to audiowmark

https://github.com/swesterfeld/audiowmark

You can stuff per-item database unique IDs, user IDs, geohashes, and other nefarious things inside.

We need to protest this LOUDLY.

Our devices are being locked down, we're having attestation and trusted computing forced on us, the internet all over the world is undergoing age verification with full ID verification.

Just because this is on "ai images" today doesn't mean it won't be on all images - screenshots, your camera reel, etc. - in the fullness of time.

This is scary.

These are the tools of 1984. They've been boiling the water slowly, but in the last year things have really started to pick up pace. Please push back. Loudly.

Everyone at Google and OpenAI working on this: WHAT THE FUCK ARE YOU DOING. STOP.

We have laws and mechanisms to prevent revenge porn, CSAM, defamation, etc. They are robust and can be made even stronger. We do not need to sacrifice the security of our privacy and our speech to fight imagined harms when the real danger is turning into an authoritarian society.

tadfisher•about 20 hours ago
The point of SynthID is to make generated images identifiable, in an attempt to prevent 1984-esque situations where you can't believe your eyes and ears. Applying it to screenshots and camera output defeats its only purpose.

If the powers-that-be want to enforce age verification, watermarking camera output is not the correct technology to do so. It would be something like HDCP, where camera manufacturers are given keys and a whole trusted media path is built so that the relying party can cryptographically enforce that a trusted camera is being used to capture live images.

Extropy_•about 22 hours ago
Most cameras already produce metadata. You can remove this metadata. Can you not also detect and remove watermarks?
Dylan16807•about 18 hours ago
I'm going to save my protests for anyone trying to watermark real images.

Zero watermarks is a lot worse than semi-effective AI watermarks.

gumby271•about 20 hours ago
Or perhaps a user id or fingerprint to an individual. We added that to printers long ago, this would easily enable that for every photo and image you generate too.
janalsncm•about 22 hours ago
Don’t think that would be possible. If I paste a synthetic piece into an otherwise organic image, the synth id isn’t going to know that.
animal_spirits•about 22 hours ago
Synth ID can detect parts of images with the watermark.
WhatIsDukkha•about 23 hours ago
This is just performative nonsense.

As someone that creates things with tools with different media I would just hard avoid this tool that adds...

arbitrary metadata not of my choosing.

Should I seriously make a texture for a videogame with this weird DRM glorp in it?

How old is photoshop and why is it exempt?

ericpruitt•about 23 hours ago
Just because something isn't perfect doesn't mean it's not useful. I've already seen posts online that were able to be proven as falsified because someone ran the images through Google for SynthID checks.

> How old is photoshop and why is it exempt?

For one, it's not developed by Google or OpenAI. The barrier to entry to making realistic but deceptive images with Photoshop is far higher than with AI, and there are already techniques that can, imperfectly, be used to detect the use of traditional image editing.

WhatIsDukkha•about 21 hours ago
So 999 people that are just making an image need to be DRM'ed so that you might catch the 1 person making "realistic but deceptive" images... like this is some kind of special case of ... internet images.
space_fountain•about 21 hours ago
This isn't DRM right? This is metadata attached to the image that makes it clear it was synthetically generated. The public has a huge incentive to know when images are AI generated and the harm to legitimate users seems pretty small: aka someone might complain online that you use AI
mschuster91•about 11 hours ago
> So 999 people that are just making an image need to be DRM'ed so that you might catch the 1 person making "realistic but deceptive" images

Unfortunately, simple statistics mean that you will get a lot more people than just "1" creating disinformation with AI assistance.

bsder•about 20 hours ago
I guarantee this works poorly, at best.

If this actually works solidly, Google is in deep, deep, deep shit. It would mean that I can put a mark on my non-AI videos and demand that Google not allow upload of my identifiably copyrighted content.

This would completely obliterate YouTube.

fc417fc802•about 18 hours ago
No, it wouldn't. ContentID is already used by Google for that exact purpose. They appear to be fully in favor of enforcing IP law provided the owning party raises a complaint.
nathancahill•about 19 hours ago
I mean I see a lot of images online where people forget or don't care enough to remove/crop the Gemini watermark.
Jtarii•about 23 hours ago
>How old is photoshop and why is it exempt?

I'm sure you can think of a couple things that differentiate gen AI from photoshop, I believe in you.

WhatIsDukkha•about 21 hours ago
The main difference is we are in the middle of a moral panic and people have lost perspective.

Its a tool with different modalties and affordances.

surgical_fire•about 20 hours ago
When I saw the article I was initially skeptical. I do look down on OpenAI, Google, and other such companies.

But on second thought it is not a bad idea to be able to have a quick tool to identify an image as AI generated.

And after reading your reaction to it, I am sure now that the watermark is for the best.

numpad0•about 13 hours ago
NO OFFENSE - I think this is genuinely worth digging down that:

  - you identify as an artist of sorts,  
  - you can't tell AI from human images, and  
  - you sound absolutely pissed off by this.
In my personal experience watching online flamewars, there seem to be two types of people when it comes to AI, even among highly tech literate, which are:

  - those who can tell that an image was AI generated, instantly, even at thumbnail sizes, and manually drawn over
  - those who can NOT, regardless of time or resource allotted. Tends to be perpetually angry(my prejudiced PoV).
I personally hate the state of AI image generators, but simultaneously I feel this goes above hate or ethics. There has to be some thing or process that's causing it, and it's probably not like IQ or EQ or autism or anything. Also, I am of opinion that there is some chances that prolonged exposure to AI generated data might be corrupting brains of pro-AI people, but that's again just my highly prejudiced PoV and not a fact.

What could be it? More/less exposure to older, simplistic examples? Prior exposure to human art? Childhood head traumas? Or something else?

tskj•about 9 hours ago
Idk, wasn't there a survey by Scott Alexander or Aella or something which showed that people aren't reliably able to distinguish AI generated images from human paintings? Not that some people suck at it, but that it's not really possible in any statistically significant way, with a curated set of images.

ie. you would fail too.

numpad0•about 8 hours ago
That[1] used a hand picked set of ambiguous images and still got 60% overall accuracy across 11k participants. I don't know much about statistics[2], but 1) 60% HAS to be statistically significant, and it was 2) under ADVERSARIAL, not neutral, condition. So people can tell.

Anyways, that's besides my point. The point of mine is that, it always turn into all-caps flamewars like this, with no middle ground or third camps, and that this has to be more of a phenomenon than regular disagreements. This isn't bikeshedding. This is Spanish bullfighting centered around a piece of red cloth.

1: https://news.ycombinator.com/item?id=42216694

2: I just asked Gemini "is 60% accuracy over 11k participant for a test statistically significant and why", it said "yes, it is overwhelmingly statistically significant" and "completely off the charts". They said p<0.05 figure would be 50.94%.

WhatIsDukkha•about 6 hours ago
I don't actually care about AI images?

Most people put so little effort into prompting them that they come out statistically "average" which makes them blatantly ugly.

Most of them are pretty bad just like 90% of everything is bad. Humans create bad art all day long too.

I gave a specific example of a making a texture for a videogame? How does that change what you actually said to me very specifically despite maybe not reading what I said?

To the extent that I'm upset its at peoples capitulation at this DRM nonsense over being overly reactive to ... internet images which dont matter.

runarberg•about 21 hours ago
janalsncm•about 22 hours ago
Strictly speaking, DRM = digital rights management, which is related to intellectual property.

SynthID would only be DRM if Google/OpenAI were claiming IP rights over their images. I don’t even know if that’s legal though.

WhatIsDukkha•about 21 hours ago
What value does "strictly speaking" bring to the discussion?

So that you don't have to address any of the issues?

janalsncm•about 20 hours ago
Words matter? DRM means digital rights management, not simply any kind of metadata a person doesn’t like.
dylan604•about 20 hours ago
Because DRM is primarily used to ensure the content is not shared in a way the owner does not allow. That is not what SynthID is doing. All it does is allow people to know it is a generated image specifically for when it starts to be widely shared on the internet.

So strictly speaking brings a lot to the discussion when you actually think about it. Stating that DRM != SynthID is addressing issues where people seem to think that DRM == SynthID. Those people are wrong, and strictly speaking need to be corrected.

drdeca•about 20 hours ago
Accuracy is valuable.
Barbing•about 23 hours ago
> How old is photoshop and why is it exempt?

How does today’s maximum theoretical disinformation output per minute compare to 2021 Photoshop?

WhatIsDukkha•about 21 hours ago
Its 2026... people are deliberately choosing to live in their own realities with no care about objective facts or moral choices.

So weird images are a big problem? No they don't matter at all.

Barbing•about 21 hours ago
Political deepfakes on the mind here more than weird stuff.
surgical_fire•about 20 hours ago
If they don't matter, neither does a watermark.
doctorpangloss•about 19 hours ago
You: "performative nonsense! Arbitrary metadata not of my choosing!"

Also you: well, games go through some kind of distribution, which has plenty of telemetry and metadata. Whether it is App Store with notarization, or Steam or Itch who collect analytics and know a lot about you, or your ISP if you self host your eclectic WebGL game from home. Posting on an iPhone or Android phone, to hacker News which has your email address, on your cell network which has IPv6 globally unique addresses...

"But my choosing!" You'll say. It is extremely performative of you to say, "everything that would make me 200% wrong isn't valid."

I don't know. I really hate these vibes-driven reactions to (checks notes) content attribution. Every accusation is a confession in this frame of mind. How do you not see that?

WhatIsDukkha•about 19 hours ago
You are asserting that the existence of metadata in other venues to be proof that this form of watermarking metadata is just fine with you and should be for everyone else because... nope don't see any reason listed here.

I have an IP address so therefore this is all fine?

"Every accusation is a confession" also seems like an insinuation that I have something to hide but you have "nothing to hide, nothing to fear"ie the very generic privacy right fallacy.

As for "vibes driven"... this whole technical "fix" is a result of the reactionary "vibe" of the ai moral panic, your "notes" don't seem to be providing any perspective there?

whatever120•about 13 hours ago
Lmao you don’t have to use these AI image tools then, it’s not that hard
827a•about 17 hours ago
Interesting that it seems to be the case that SynthID has been totally busted open, but OpenAI's new watermark has not yet [1]

[1] https://github.com/wiltodelta/remove-ai-watermarks

CSMastermind•1 day ago
Aren't these kinds of watermarks easy to remove or distort? Seems like they're only helpful as long as people are relying on them sparingly so it's not worth the effort to circumvent.

If social media platforms started banning images with these watermarks seems like they'd be stripped out overnight.

amazingamazing•1 day ago
No, they are very resistant to modification that can be done easily. That being said I doubt it is impossible
janalsncm•about 22 hours ago
Yeah cropping, color shifting, resizing and compression don’t remove it. That said, there’s pretty well known workarounds:

https://github.com/wiltodelta/remove-ai-watermarks

surgical_fire•about 20 hours ago
The sort of people that generate AI images that need a watermark are not exactly the kind of people prone for this sort of effort.
snissn•1 day ago
I’m surprised! I guess I’m being naive but I would imagine you could pass an image to an image model without synthid and have it reconstruct the image in a net new way without the markers. I guess I’m wrong? That’s cool if the watermarks are so deeply ingrained that they persist
cephei•1 day ago
As I understand it, they modify the image by applying a special Gaussian noise filter which affects each pixel in the image in subtle (possibly not reversible) ways. The detecting service will look for this noise pattern to flag it, so even a part of the image is enough to know it was generated by AI.
programd•1 day ago
Define easily. There is an approach that apparently works and is based on spectral analysis of the images.

https://github.com/aloshdenny/reverse-SynthID

toraway•about 23 hours ago
FWIW there are a few people in the issues saying that the tool is giving false negatives and the output image gets flagged by the actual Gemini API as having SynthID. Most recently 3 weeks ago without a response.
Tiberium•1 day ago
I still don't think there's a single GitHub repo that actually removes real SynthID watermarks from Nano Banana 2/NBPro outputs. Most of them are just some research projects that haven't achieved this. The only methods so far I've seen are weird tricks with transparency/overlaying the original image if you're using edits, and also using a diffusion model to regenerate the NB-generated image at low noise levels, but this also modifies the original.
vunderba•1 day ago
Right I think that’s why you probably need to start with very low levels of denoising and experiment with different approaches.

Set up as a ComfyUI workflow that does a few things: it tries SDXL, Flux, and a couple of different denoising methods at the lowest possible strength (progressively incrementing) to avoid changing the image too much, while also running a SynthID check each time, and repeating this in a loop until the watermark is essentially gone.

At the same time, you’d probably want to add some kind of threshold based on a perceptual hash aka the maximum perceptual quality difference you’re willing to accept.

Arnt•1 day ago
This one was released a few years ago and still seems unbroken. I'm sure it will be broken at some point, but if you have to wait a year or two from when you make a deepfake until you can post it on Facebook, maybe that's enough. Maybe even a month is enough.
ZeWaka•about 23 hours ago
I imagine the technique of having AI recreate the image from scratch based on a very detailed description might work.
raincole•about 23 hours ago
That'd not work with today's technology. No open model's prompt adherence is anywhere remotely close to ChatGPT/NanoBanana. 'remotely' here is a funny understatement, as I don't have a strong enough word in my vocabulary to describe how far the open models are behind the closed ones.

Writing a more detailed description does not make the models stick to it more.

vunderba•about 23 hours ago
Definitely. I run an entire site built around a series of benchmarks that focus on prompts of increasingly difficult complexity with a focus on adherence, and even the state-of-the-art local models are probably only about thirty percent as good as proprietary models like Gemini 3.1 Flash Image and GPT Image 2.

Comparing Qwen-Image, Flux.2, ZiT, NB2, and gpt-image-2

https://genai-showdown.specr.net/?models=qi,nbp3,f2d,g2,zt

amazingamazing•1 day ago
Good. Despite people saying it will be removed, I have seen no reproducible repo demonstrating it.
raincole•1 day ago
Stable Diffusion with 10%~15% denoising strength. Done.

I tested the day 1 when Nano Banana Pro was released and it worked. It still works today for Nano Banana 2.

I didn't post this anywhere because I (arrogantly) thought saying it publicly would make the internet worse. But it was pure arrogancy: if I came up with this the first day then of course other millions of programmers did too.

That being said, it'll introduce the typical artifacts from SD models and that might be detected by other methods (or just by zooming in a lot and looking carefully).

vunderba•1 day ago
Yup, OOC a while back I put together a ComfyUI node that took in a NB image and start with the smallest amount of denoise strength using Flux.1 (but works with any model), then run img2img with a synthid check incrementing denoise in a loop until it was defeated.

Never released it, but it was obvious to most people in the SD community that denoising using a diffusion model was a relatively trivial means to beat most steganographic watermarks.

londons_explore•about 23 hours ago
Yet is in itself fairly trivial to detect assuming you use some open-weight image model as a base.
zulban•about 23 hours ago
> if I came up with this the first day then of course other millions of programmers did too.

Don't sell yourself short. I'm sure it was only hundreds of thousands.

amazingamazing•1 day ago
Post a repro. I can do that too but then the similarity index is weak. The point is that it it looks indistinguishable then the integrity persists.

In my tests the image looks clearly distinct. In other words, if you can tell the difference then it isn’t a good test.

gempir•about 7 hours ago
I agree. This thread is so negative, seeing everything black and white. 99% of the users of these tools are never going to bother trying to figure out how to remove synthId. And then for the small percentage that do bother, they would have the knowledge to usage image models that don't use watermarking in the first place.

So this is a big win IMO.

DonsDiscountGas•about 22 hours ago
Probably a lot easier to use a different model in the first place
dvngnt_•about 22 hours ago
It will but many people won't as i've seen disinformation that could be detected by synth-id.
4ashz•about 22 hours ago
First they verify whether a picture came from OpenAI, then they'll include subscriber data and geolocation.

Well, they'll finally find out that no one wants to look at AI generated pictures or text. Once they do that, the tool will fail for the public and only work for the government.

Gigachad•about 19 hours ago
Seemingly the only use for photo realistic ai generation is deception. We are already seeing AI generated video used in political ads in America.
myaccountonhn•about 12 hours ago
I imagine it'd be more impactful to add attestations to cameras so one can validate that X photo came from Y camera.
OvervCW•about 12 hours ago
Useless because you can use a camera to take a photo of a synthetic image.
mpetrovich•about 18 hours ago
Seems inferior to C2PA, which is actually an open standard: https://contentauthenticity.org/
progbits•about 15 hours ago
Completely different things.

C2PA is basically a signature that serves to prove it came from certain source.

It's useful in case you want to prove you got an image from AI model to someone who doesn't believe you.

It's trivially removable and not useful against people trying to pass off generated images as real.

userbinator•about 19 hours ago
Currently, this article is conveniently right next to it: https://news.ycombinator.com/item?id=48200569
svara•about 15 hours ago
I think something like this will need to become ubiquitous, widely supported in software and understood by lay people: https://en.wikipedia.org/wiki/Content_Credentials
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julianozen•about 24 hours ago
While these are great, isn’t the problem that malicious actors will create systems that do not use synthID
nerdsniper•about 24 hours ago
It helps significantly in the current moment. A lot of people are lazy and are getting caught quickly by SynthID.

Eventually it won’t matter when image generation is cheap. But few self-host today and few are willing to pay unsubsidized prices, so the vast majority are using the Gemini, OpenAI, and Midjourney. If all 3 adopted SynthID, only a small fraction would use something else.

echelon•about 23 hours ago
These systems should be removed.

This is antithetical to freedom and privacy.

There should be no way for anyone to track down who posted a political meme, anti-religious message, or any other legally protected speech. This will come back to bite us in the ass if we keep building it.

Soon every image or communication we make will be watermarked if we continue to let this shit seep into the commons. Everything from your phone photos, to your screenshots, to your social media posts.

One day soon Republicans or Democrats or whoever doesn't like your freedoms will use this tech to identify you and control you.

There are laws for harms - CSAM, revenge porn, etc. Social media platforms can identify, ban, and report abusers. The framework of the law can take care of the rest.

Our digital footprint should not be tracked and barcoded.

Barbing•about 19 hours ago
Any privacy-respecting way for these big labs to keep selling their generators while minimizing e.g. political deepfake harms?

> Social media platforms can identify, ban, and report abusers.

& do but Americans nonetheless argue with troll farms[1] every day & it hurts us

[1] 2013-2023, just one known company https://en.wikipedia.org/wiki/Internet_Research_Agency

kleiba2•about 14 hours ago
If the watermark is anonymous with respect to the person who created it, I do not see a threat to privacy.
croes•about 21 hours ago
> There are laws for harms

These laws need a method to know what is true and what is fake. Good luck with that if you can’t tell if neither images, audio or video are true.

This fakes will pave the way for fascists.

How much freedom and privacy will they allow?

toraway•about 23 hours ago
That's a lot of hyperbole, there's no cause/effect relationship I can think of here that could realistically produce your slippery slope.

Google or anyone else could start adding those unique tracking watermarks you're concerned about any time they want, regardless of whether they use this AI detection watermark, that to be clear can not track you in any way.

keyle•about 17 hours ago
Is it like metadata in mp3?

If I take a screenshot of an AI image, will that then be seen as an AI image? Is that 'hidden in the image' or as metadata?

nojs•about 16 hours ago
It’s in the image, designed to survive those kinds of operations
atleastoptimal•about 16 hours ago
Eventually this won't matter as open source models will be good enough to fool 99% of people.
rickcarlino•about 23 hours ago
What if they use advanced evasion techniques like printing it out and scanning it or taking a photo with their phone?
Retr0id•about 23 hours ago
SynthID is fairly resistant to this sort of thing, although not perfect.
minimaxir•1 day ago
I'm annoyed that Google is keeping it closed-sourced and limited to partners. Is there a negative externality about open-sourcing image watermark technology so anyone can use it and audit the watermarks independently? If not, then I may have a repository for an open-source invisible and tamper-resistant image watermarking approach that's feature complete...
thisisthenewme•about 24 hours ago
potentially to stop bad actors from poisoning datasets by just adding the filter to real pictures?
bsder•about 20 hours ago
The fact that they have to keep this closed source is a giant red flag. It means that you can copy it or strip it if you have the knowledge.

I'm not all that worried about stripping it (I'm sure that's trivial).

The problem that I am worried about is that it can be copied (I'd bet $20 that's trivial, too). People WILL put this on images so that they can be "discredited".

parhamn•1 day ago
might be easier to strip it?
kube-system•1 day ago
Is there no way to do this without uploading it?
woadwarrior01•about 24 hours ago
I'd built an on-device app for detecting C2PA and IPTC metadata in images, amongst other things. I might be able to add support for SynthID detection once it's been reverse engineered.
duskwuff•1 day ago
Currently, there is not. OpenAI has promised "public verification tooling" down the line, but I'll believe it when I see it.
cosmobiosis•about 19 hours ago
Well that's not very useful. I think that can easily be hacked and many people were doing that frankly
sigbeta•about 18 hours ago
I think this is a move by openai/google to prevent their own models from training on ai slop rather than some morally righteous public initiative.
saberience•about 23 hours ago
What happens if you generate an image with only a single pixel color or say two colors?
akersten•about 22 hours ago
This was done in the past, Google saw it, and now either refuses to generate or doesn't emit the SynthID watermark for those images
userbinator•about 20 hours ago
You create an image so trivial that no one would care if it was AI-generated or not.
saberience•about 11 hours ago
That's not really the point. I was wondering at what point of complexity the SynthID watermark is added.

I.e. it doesn't make sense for a purely white or black image, but as you gradually add colors or features, at some point they would want to add a watermark, but based on what? It's an interesting question.

SiempreViernes•about 22 hours ago
You waste a lot of compute on overhead?
PunchyHamster•1 day ago
so ? people wanting to make AI propaganda will just make tool to remove it. Possibly using AI to do it too
pta2002•1 day ago
I assume a selfish benefit is that OpenAI and Google don't want the models to train on their own data. There is just /so much/ AI generated content online that they definitely need to filter it out somehow when assembling the training data. This is a pretty effective way to do that, with the nice bonus of being mostly good from a PR standpoint.
sgc•about 21 hours ago
I immediately thought that was the real reason. Their models will quickly break without some sort of consensus on how to reliably exclude them.
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potsandpans•about 17 hours ago
While this is definitely one of the topics of the moment. I find these threads really just ragebait magnets. A bunch of people effectively talking past one another: privacy vs preserving the status quo.

It's certain now that most of the Western world has slid into fascism. Privacy and common decency advocates are all but lost.

I will say this, for everyone celebrating this as something that is "extremely beneficial to the cultural moment",

If I were an adversarial nation-state actor, I might be extremely interested in reverse engineering this and poisoning the well by applying it to real images.

Let's make the world impossible to understand.