ChatGPT Images 2.0
13 hours ago (openai.com)
Livestream: https://openai.com/live/
System card: https://deploymentsafety.openai.com/chatgpt-images-2-0/chatg...
13 hours ago (openai.com)
Livestream: https://openai.com/live/
System card: https://deploymentsafety.openai.com/chatgpt-images-2-0/chatg...
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:
The NBP result is here, which got the numbers, corresponding Pokemon, and styles correct, with the main point of contention being that the style application is lazy and that the images may be plagiarized: https://cdn.bsky.app/img/feed_fullsize/plain/did:plc:oxaerni...
Running that same prompt through gpt-2-image high gave an...interesting contrast: https://cdn.bsky.app/img/feed_fullsize/plain/did:plc:oxaerni...
It did more inventive styles for the images that appear to be original, but:
- The style logic is by row, not raw numbers and are therefore wrong
- Several of the Pokemon are flat-out wrong
- Number font is wrong
- Bottom isn't square for some reason
Odd results.
This is an amazing test and it's kinda' funny how terrible gpt-2-image is. I'd take "plagiarized" images (e.g. Google search & copy-paste) any day over how awful the OpenAI result is. Doesn't even seem like they have a sanity checker/post-processing "did I follow the instructions correctly?" step, because the digit-style constraint violation should be easily caught. It's also expensive as shit to just get an image that's essentially unusable.
This is from Gemini - https://lens.usercontent.google.com/banana?agsi=CmdnbG9iYWw6...
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that is interesting cause I feel gpt-image-1 did have that feature.
(source: https://chatgpt.com/share/69e83569-b334-8320-9fbf-01404d18df...)
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I wouldn’t say it’s terrible. I wouldn’t say it’s a huge step forward in terms of quality compared to what I’ve seen before from AI
banana Pro gets the logic and punts on the art; gpt-2-image gets the art and punts on the logic. Feels like instruction-following and creativity sit on opposite ends of the same slider.
Why would you consider this a good prompt?
Because both Nano Banana Pro and ChatGPT Images 2.0 have touted strong reasoning capabilities, and this particular prompt has more objective, easy-to-validate criteria as opposed to the subjective nature of images.
I have more subjective prompts to test reasoning but they're your-mileage-may-vary (however, gpt-2-image has surprisingly been doing much better on more objective criteria in my test cases)
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Even a few months ago, ChatGPT/Sora's image generation performed better than Gemini/Nano Banana for certain weird prompts:
Try things like: "A white capybara with black spots, on a tricycle, with 7 tentacles instead of legs, each tentacle is a different color of the rainbow" (paraphrased, not the literal exact prompt I used)
Gemini just globbed a whole mass of tentacles without any regards to the count
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Prob a very unscientific way to test an image model. This would me likely because they have the reasoning turned down and let its instant output takeover
There's no good scientific way to test a closed-source model with both nondeterministic and subjective output.
This example image was generated using the API on high, not the low reasoning version. (it is slow and takes 2 minutes lol)
If the results are quantifiable/objective and repeatable it's scientific, how is it not scientific?
The reasoning amount is part of the evaluation isn't it?
This is the best kind of science there is: direct, empirical test.
Anyone test it out for generating 2D art for games? Getting nano banana to generate consistent sprite sheets was seemingly impossible last time i tried a few months ago.
A great technical achievement, for sure, but this is kind of the moment where it enters uncanny valley to me. The promo reel on the website makes it feel like humans doing incredible things (background music intentionally evokes that emotion), but it's a slideshow of computer generatated images attempting to replicate the amazing things that humans do. It's just crazy to look at those images and have to consciously remind myself - nobody made this, this photographed place and people do not exist, no human participated in this photo, no human traced the lines of this comic, no human designer laid out the text in this image. This is a really clever amalgamation machine of human-based inputs. Uncanny valley.
I've been trying out the new model like this:
Code here: https://github.com/simonw/tools/blob/main/python/openai_imag...
Here's what I got from that prompt. I do not think it included a raccoon holding a ham radio (though the problem with Where's Waldo tests is that I don't have the patience to solve them for sure): https://gist.github.com/simonw/88eecc65698a725d8a9c1c918478a...
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...
https://gist.github.com/simonw/88eecc65698a725d8a9c1c918478a... - I found the raccoon!
I think that image cost 40 cents.
Funny how it can look convincing from far away but once you zoom in you find out most characters have a mix of leprosy and skin cancer.
Fed into a clear Claude Code max effort session with : "Inspect waldo2.png, and give me the pixel location of a raccoon holding a ham radio.". It sliced the image into small sections and gave:
"Found the raccoon holding a ham radio in waldo2.png (3840×2160).
Which is correct!
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A startling number of people either have no arms, one arm, a half of an arm, or a shrunken arm; how odd!
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The faces...that's nice that it turned a kid's book into an abomination
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The real NFTs where the images we generated along the way
The people in this image remind me of early this person does not exist, in the best way
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Can it generate non halloween version though?
This lower-is-better danse macabre, nightmares inducing ratio feels like interesting proxy for models capability.
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
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I found it on the 2nd image! On the 1st one not yet...
Cost me < 1 cents - https://elsrc.com/elsrc/waldo/wojak.jpg
And this medium quality, high resolution https://elsrc.com/elsrc/waldo/10_wojaks.jpg was 13cents
p.s. aaaand that's soft launch my SaaS above, you can replace wojak.jpg with anything you want and it will paint that. It's basically appending to prompt defined by elsrc's dashboard. Hopefully a more sane way to manage genai content. Be gentle to my server, hn!
>I think that image cost 40 cents.
Kinda made me sad assuming the author didn't license anything to OpenAI.
I recognize it could revert (99% of?) progress if all the labs moved to consent-based training sets exclusively, but I can't think of any other fair way.
$.40 does not represent the appropriate value to me considering the desirability of the IP and its earning potential in print and elsewhere. If the world has to wait until it’s fair, what of value will be lost? (I suppose this is where the big wrinkle of foreign open weight models comes in.)
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> though the problem with Where's Waldo tests is that I don't have the patience to solve them for sure
I see an opportunity for a new AI test!
There have already been several attempts to procedurally generate Where’s Waldo? style images since the early Stable Diffusion days, including experiments that used a YOLO filter on each face and then processed them with ADetailer.
It's a difficult test for genai to pass. As I mentioned in a different thread, it requires a holistic understanding (in that there can only be one Waldo Highlander style), while also holding up to scrutiny when you examine any individual, ordinary figure.
I've actually been feeding them into Claude Opus 4.7 with its new high resolution image inputs, with mixed results - in one case there was no raccoon but it was SURE there was and told me it was definitely there but it couldn't find it.
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Really hard to look at these images given how not human like the humans are. A few are ok, but a lot are disfigured or missing parts and its hard to find a raccoon in here.
The second 4K image definitely has a raccoon on the left there! Nice.
That is a devilishly difficult prompt for current diffusion tasks. Kudos.
Thanks for the image, I will see their faces in my nightmares.
This happens all too frequently when you ask a GenAI model to create an image with a large crowd especially a “Where’s Waldo?” style scenes, where by definition you’re going to be examining individual faces very closely.
What about the faces of the people ChatGPT killed?
Like... this has things that AI will seemingly always be terrible at?
At some point the level of detail is utter garbo and always will be. An artist who was thoughtful could have some mistakes but someone who put that much time into a drawing wouldn't have:
- Nightmarish screaming faces on most people
- A sign that points seemingly both directions, or the incorrect one for a lake and a first AID tent that doesn't exist
- A dog in bottom left and near lake which looks like some sort of fuzzy monstrosity...
It looks SO impressive before you try to take in any detail. The hand selected images for the preview have the same shit. The view of musculature has a sternocleidomastoid with no clavicle attachment. The periodic table seems good until you take a look at the metals...
We're reconfiguring all of our RAM & GPUs and wasting so much water and electricity for crappier where's Waldos??
AI will seemingly always be ...
You do realize that the whole image generation field is barely 10 years old?
I remember how I was able to generate mnist digits for the first time about 10 years ago - that seemed almost like magic!
haha took me a while to notice that one of the buildings is labelled 'Ham radio'
Damn. There’s a fun game app to make here ^^
Is there? The moment you look closely at the puzzle (which is... the whole point of Where's Waldo), you notice all the deformities and errors.
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I see the raccoon
5.4 thinking says "Just right of center, immediately to the right of the HAM RADIO shack. Look on the dirt path there: the raccoon is the small gray figure partly hidden behind the woman in the red-and-yellow shirt, a little above the man in the green hat. Roughly 57% from the left, 48% from the top."
(I don't think it's right).
I tried
> please add a giant red arrow to a red circle around the raccoon holding a ham radio or add a cross through the entire image if one does not exist
and got this. I'm not sure I know what a ham radio looks like though.
https://i.ritzastatic.com/static/ffef1a8e639bc85b71b692c3ba1...
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OpenAI’s gpt-image-1.5 and Google’s NB2 have been pretty much neck and neck on my comparison site which focuses heavily on prompt adherence, with both hovering around a 70% success rate on the prompts for generative and editing capabilities. With the caveat being that Gemini has always had the edge in terms of visual fidelity.
That being said, gpt-image-1.5 was a big leap in visual quality for OpenAI and eliminated most of the classic issues of its predecessor, including things like the “piss filter.”
I’ll update this comment once I’ve finished running gpt-image-2 through both the generative and editing comparison charts on GenAI Showdown.
Since the advent of NB, I’ve had to ratchet up the difficulty of the prompts especially in the text-to-image section. The best models now score around 70%, successfully completing 11 out of 15 prompts.
For reference, here’s a comparison of ByteDance, Google, and OpenAI on editing performance:
https://genai-showdown.specr.net/image-editing?models=nbp3,s...
And here’s the same comparison for generative performance:
https://genai-showdown.specr.net/?models=s4,nbp3,g15
UPDATES:
gpt-image-2 has already managed to overcome one of the so‑called “model killers” on the test suite: the nine-pointed star.
Results are in for the generative (text to image) capabilities: Gpt-image-2 scored 12 out of 15 on the text-to-image benchmark, edging out the previous best models by a single point. It still fails on the following prompts:
- A photo of a brightly colored coral snake but with the bands of color red, blue, green, purple, and yellow repeated in that exact order.
- A twenty-sided die (D20) with the first twenty prime numbers (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71) on the faces.
- A flat earth-like planet which resembles a flat disc is overpopulated with people. The people are densely packed together such that they are spilling over the edges of the planet. Cheap "coastal" real estate property available.
All Models:
https://genai-showdown.specr.net
Just Gpt-Image-1.5, Gpt-Image-2, Nano-Banana 2, and Seedream 4.0
https://genai-showdown.specr.net?models=s4,nbp3,g15,g2
Very useful website. Would you have insight into what models are best at editing existing images?
I often have to make very specific edits while keeping the rest of the image intact and haven't yet found a good model. These are typically abstract images for experiments.
I asked gpt-image-2 to recolor specific scales of your Seedream 4 snake and change the shape of others. It did very poorly.
OpenAI actually has really good adherence, but occasionally tends to introduce its own almost equivalent of "tone mapping", making hyper-localized edits frustrating.
I don’t know how much work it is for you, but one thing a lot of people do, myself included, is take the original image, make a change to it using something like NB, then paste that as the topmost layer in something like Krita/Pixelmator. After that, we’ll mask and feather in only the parts we actually want to change. It doesn’t always work if it changes the overall color balance or filters out certain hues, it can be a real pain but it does the job in some cases.
The Flux models (like Kontext) are actually surprisingly good at making very minimal changes to the rest of the image, but unfortunately their understanding of complex prompts is much weaker than the closed, proprietary models.
I will say that I’ve found Gemini 3.0 (NB Pro) does a relatively decent job of avoiding unnecessary changes - sometimes exceeding the more recent NB2, and it scored quite well on comparative image-editing benchmarks.
https://genai-showdown.specr.net/image-editing
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Why does Gemini 3.1 get a pass for the same reasons they got image 2 gets a fail on the flat earth one? Gemini has all sorts of random body parts and limbs etc.
That's a mistake~ None of the models successfully passed the Flat Earth composition test. I've updated the passing criteria to be more explicit as well. Thanks for catching that!
It'd be interesting if you could add HunyuanImage-3 to the competition. It's better than Z-Image at almost everything I've thrown at it.
It can be (slowly) run at home, but needs 96GB RTX 6000-level hardware so it is not very popular.
I’ll have to give it another try. Its predecessor, Hunyuan Image 2.0, scored pretty poorly when I tested it last year: 2 out of 15, so it'll be interesting to see how much it has improved.
Here's ZiT, Gpt-Image-2, and Hunyuan Image 2 for reference:
https://genai-showdown.specr.net/?models=hy2,g2,zt
Note: It won't show up in some of the newer image comparisons (Angelic Forge, Flat Earth, etc) because it's been deprecated for a while but in the tests where it was used (Yarrctic Circle, Not the Bees, etc.) it's pretty rough.
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Where can I see the actual prompts and follow ups you fed each model?
So the prompts are tuned and adjusted on a per-model basis. If you look at the number of attempts, each receives a specific prompt variation depending on the model. This honestly isn't as much of an issue these days because SOTA models natural language parsing (particularly the multimodal ones) has eliminated a lot of the byzantine syntax requirements of the SD/SDXL days.
The template prompt seen in each comparison gets adjusted through a guided LLM which has fine-tuned system prompts to rewrite prompts. The goal is to foster greater diversity while preserving intent, so the image model has a better chance of getting the image right.
Getting to your suggestion for posting all the raw prompts, that's actually a great idea. Too bad I didn't think about it until you suggested it. And if you multiply it out - there's 15 distinct test cases against 22 models at this point, each with an average of about 8 attempts so we’re talking about thousands of prompts many of which are scattered across my hard drive. I might try to do this as a future follow-up.
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Price comparison:
GPT Image 2
GPT Image 1
Weird that they restrict the resolution so much. Does it fall apart with more detail (when zoomed in) or does the cost just skyrocket?
actually gpt-image-2 is VERY flexible with the resolution. You can use arbitrary resolution within the max pixel budget.
It's usually based on what they've been trained on. There aren't very many models that'll do higher resolutions outside of Seedream but adherency is worse.
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Generate a lower resolution image and upscale to the resolution you need.
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It can generate 3840x2160
Interesting, I wonder why larger outputs are more expensive than smaller square ones on v2, while it’s the other way around in v1.
Here is my regular "hard prompt" I use for testing image gen models:
"A macro close-up photograph of an old watchmaker's hands carefully replacing a tiny gear inside a vintage pocket watch. The watch mechanism is partially submerged in a shallow dish of clear water, causing visible refraction and light caustics across the brass gears. A single drop of water is falling from a pair of steel tweezers, captured mid-splash on the water's surface. Reflect the watchmaker's face, slightly distorted, in the curved glass of the watch face. Sharp focus throughout, natural window lighting from the left, shot on 100mm macro lens."
google drive with the 2 images: https://drive.google.com/drive/folders/1-QAftXiGMnnkLJ2Je-ZH...
Ran a bunch both on the .com and via the api, none of them are nearly as good as Nano Banana.
(My file share host used to be so good and now it's SO BAD, I've re-hosted with them for now I'll update to google drive link shortly)
I mean, your prompt is basically this skit: https://www.youtube.com/watch?v=BKorP55Aqvg ("The Expert" 7 red lines: all strictly perpendicular, some with green ink some with transparent ink)
I couldn't imagine the image you were describing. I've listed some of the red lines with green ink I've noticed in your prompt:
Macro Close Up - Sharp throughout
Focus on tiny gear - But also on tweezers, old watchmakers hand, water drop?
Work on the mechanism of the watch (on the back of the watch) - but show the curved glass of the watch face which is on the front
This is the biggest. Even if the mechanism is accessible from the front, you'd have to remove the glass to get to it. It just doesn't make sense and that reflects in the images you get generated. There's all the elements, but they will never make sense because the prompt doesn't make sense.
Why would you consider this a good prompt?
My observations have been that image generation is especially challenged when asked to do things that are unusual. The fewer instances of something happening it has to train on, the worse it tends to be. Watch repair done in water fits that well - is there a single image on the internet of someone repairing a watch that is partially submerged in water? It also tends to be bad at reflections and consistency of two objects that should be the same.
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Looks like your image host has rate limited viewing the shared images, wanted to give you a heads up
Thanks, I need to get off Zight, they used to be such an nice option for fast file share but they've really suffered some of the worst enshittification I've seen yet.
Links are broken.
So.. sign up. "Get Sight for free". Ads everywhere bro.
Generating a 4096x4096 image with gemini-3.1-flash-image-preview consumes 2,520 tokens, which is equivalent to $0.151 per image.
Generating a 3840x2160 image with gpt-image-2 consumes 13,342 tokens, which is equivalent to $0.4 per image.
This model is more than twice as expensive as Gemini.
this is apples to oranges, the flash version version a full version
this thing is like 5x better than flash at fine grain detail
Google's naming might be misleading, currently 3.1 flash image outperforms the available pro version (3.0 pro) on most benchmarks: https://deepmind.google/models/model-cards/gemini-3-1-flash-...
.40 cents for high quality output is insanely cheap
it is only going to get cheaper
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This seems like a great time to mention C2PA, a specification for positively affirming image sources. OpenAI participates in this, and if I load an image I had AI generate in a C2PA Viewer it shows ChatGPT as the source.
Bad actors can strip sources out so it's a normal image (that's why it's positive affirmation), but eventually we should start flagging images with no source attribution as dangerous the way we flag non-https.
Learn more at https://c2pa.org
> but eventually we should start flagging images with no source attribution as dangerous the way we flag non-https.
Yes, lets make all images proprietary and locked behind big tech signatures. No more open source image editors or open hardware.
C2PA is actually an open protocol, à la SMTP. the whole spec is at https://spec.c2pa.org/, available for anyone to implement.
Yeah, OpenAI has been attaching C2PA manifests to all their generated images from the very beginning. Also, based on a small evaluation that I ran, modern ML based AI generated image detectors like OmniAID[1] seem to do quite well at detecting GPT-Image-2 generated images. I use both in an on-device AI generated image detector that I built.
[1]: https://arxiv.org/abs/2511.08423
> Bad actors can strip sources out
I think the issue is that it's not just bad actors. It's every social platform that strips out metadata. If I post an image on Instagram, Facebook, or anywhere else, they're going to strip the metadata for my privacy. Sometimes the exif data has geo coordinates. Other times it's less private data like the file name, file create/access/modification times, and the kind of device it was taken on (like iPhone 16 Pro Max).
Usually, they strip out everything and that's likely to include C2PA unless they start whitelisting that to be kept or even using it to flag images on their site as AI.
But for now, it's not just bad actors stripping out metadata. It's most sites that images are posted on.
There’s actually a part of the NY state budget right now (TEDE part X, for my law nerds) that’d require social media companies to preserve non-PII provenance metadata and surface it to the user, if the uploaded image has it.
linkedin already does this--- see https://www.linkedin.com/help/linkedin/answer/a6282984, and X’s “made with ai” feature preserves the metadata but doesn’t fully surface it (https://www.theverge.com/ai-artificial-intelligence/882974/x...)
You're implying social platforms aren't bad actors ;)
In seriousness, social platforms attributing images properly is a whole frontier we haven't even begun to explore, but we need to get there.
What a dystopian, pro-tyranny ask. Horrifying.
This time it passed the piano keyboard test:
https://chatgpt.com/s/m_69e7ffafbb048191b96f2c93758e3e40
But it screwed up when attempting to label middle C:
https://chatgpt.com/s/m_69e8008ef62c8191993932efc8979e1e
Edit: it did fix it when asked.
When NB 2 came out I actually had to increase the difficulty of the piano test - reversing the colors of all the accidentals and the naturals, and it still managed it perfectly.
https://mordenstar.com/other/nb-pro-2-tests
Been using the model for a few hours now. I'm actually reall impressed with it. This is the first time i've found value in an image model for stuff I actually do. I've been using it to build powerpoint slides, and mockups. It's CRAZY good at that.
Yeah, it's funny. I would expect to see more enthusiasm versus just basic run-of-the-mill, "oh, there it is". Leave it to the HN crowd. This is incredible. I don't even like OpenAI.
I have a few cases where nano banana fails all the time, even gpt image 2 is failing.
A 3 * 3 cube made out of small cubes, with a small 2 * 2 cube removed from it - https://chatgpt.com/share/69e85df6-5840-83e8-b0e9-3701e92332...
Create a dot grid containing a rectangle covering 4 dots horizontally and 3 dots vertically - https://chatgpt.com/share/69e85e4b-252c-83e8-b25f-416984cf30...
One where Nano banana fails but gpt image 2 worked: create a grid from 1 to 100 and in that grid put a snake, with it's head at 75 and tail at 31 - https://chatgpt.com/share/69e85e8b-2a1c-83e8-a857-d4226ba976...
> A 3 * 3 cube made out of small cubes, with a small 2 * 2 cube removed from it - https://chatgpt.com/share/69e85df6-5840-83e8-b0e9-3701e92332...
It is a little ambiguous (what exactly is a "3x3 cube") but I tried a bunch of variations and I simply could not get any Gemini models to produce the right output.
The improvement in Chinese text rendering is remarkable and impressive! I still found some typos in the Chinese sample pic about Wuxi though. For example the 笼 in 小笼包 was written incorrectly. And the "极小中文也清晰可读" section contains even more typos although it's still legible. Still, truly amazing progress. Vastly better than any previous image generation model by a large margin.
Is this even better than Chinese models? I suppose they focus much more on that aspect, simply because their training data might include many more examples of Chinese text.
This is not as exciting as previous models were, but it is incredibly good. I am starting to think that expressing thoughts in words clearly is probably the most important and general skill of the future.
Well that was probably the most important general skill even before this.
> I am starting to think that expressing thoughts in words clearly is probably the most important and general skill of the future.
Without question.
AI will be indistinguishable from having a team. Communicating clearly has always and will always mattered.
This, however, is even stronger. Because you can program and use logic in your communications.
We're going to collectively develop absolutely wild command over instruction as a society. That's the skill to have.
How can AI be the amazing thing you say it is, but also too stupid to understand unless you get really good at communicating. Wouldn't better AI just mean it understands your ramblings better?
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On the other hand LLMs are getting very good at understanding poorly constructed instructions as well.
So being able to express oneself clearly in a structured way may not be such an edge.
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System card link with safety details https://deploymentsafety.openai.com/chatgpt-images-2-0
direct pdf https://deploymentsafety.openai.com/chatgpt-images-2-0/chatg...
Link added to toptext. Thanks!
The image of the messy desktop with the ASCII art is so impressive - the text renders, the date is consistent, it actually generated ASCII art in "ChatGPT", etc. I was skeptical that it was cherry-picked but was able to generate something very similar and then edit particular parts on the desktop (i.e. fixing content in the browser window and making the ASCII dog "more dog like"). It's honestly astounding, to me at least.
"Benchmarks" aside, do anyone actually use these image models for anything?
Look around? It's everywhere. Try talking to a graphic designer looking for a job theses days. Companies didn't wait for these tools to be good to start using them.
MAGA to show how terrible Europe is ;)
One interesting thing I found comparing OpenAI and Gemini image editing is - Gemini rejects anything involving a well known person. Anything. OpenAI is happy to edit and change every time I tried
I have a sideproject where I want to display standup comedies. I thought I could edit standup comedy posters with some AI to fit my design. Gemini straight up refuses to change any image of any standup comedy poster involving a well know human. OpenAI does not care and is happy to edit away
How does it determine they are well known and not just similar looking?
Gemini often rejects photos of random people (even ones it generated itself) because it thinks they look too similar to some well known person.
I don't know tbh. I've tried it on 10-20 various level of famous standups and Gemini refuses every time
Just for testing, I just tried this https://i.ytimg.com/vi/_KJdP4FLGTo/sddefault.jpg ("Redesign this image in a brutalist graphic design style"). Gemini refuses (api as well as UI), OpenAI does it
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There are models specifically for detecting well known people https://docs.aws.amazon.com/rekognition/latest/dg/celebritie...
Are you using Google Gemini directly? I've found the Vertex API seems to be significantly less strict.
No mention of modifying existing images, which is more important than anything they mentioned.
I think we all know the feeling of getting an image that is ok, but needs a few modifications, and being absolutely unable to get the changes made.
It either keeps coming up with the same image, or gives you a completely new take on the image with fresh problems.
Anyone know if modification of existing images is any better?
Anything better that OpenAI?
Image editing program -> different versions of the image, each with some but not all of the elements you want, on each layer -> mask out the parts you don't need/apply mask, fill with black, soft brush with white the parts you want back in. Copy flattened/merged, drop it back into the image model, keep asking for the changes. As long as each generation adds in an element you want, you can build a collage of your final image.
It's the first thing I tried, because Nano Banana 2 deteriorates the output with each turn, becoming unusable with just a few edits.
ChatGPT Images 2.0 made it unusable at the first turn. At least in the ChatGPT app editing a reference image absolutely destroyed the image quality. It perfectly extracted an illustration from the background, but in the process basically turned it from a crisp digital illustration into a blurry, low quality mess.
There was an Edit button in one of the images in the livestream
Can we talk about how jarring the announcement video is?
AI generated voice over, likely AI generated script (You see, this model isn't just generating images, it's thinking!). From what it looks like only the editing has some human touch to it?
It does this Apple style announcement which everyone is doing, but through the use of AI, at least for me, it falls right into the uncanny valley.
Having the launch website just scrollable generated images is so slick. I love this.
You can click the images too, to see the prompt that got them gen'ed.
I know people like to dunk on ChatGPT and Gemini and say Claude is or used to be better, but you can still use worse models when you're out of usage AND make use of Nano Banana and and ChatGPT Image generation with separate limits for your subscription. I think it could make it a more package as a whole for some people (non-programmers). I do like having the option and am excited for which improvements they've done to ChatGPT Image generation because in the past it had this yellow piss filter and 1.5 it sort of fixed it but made things really generic with Nano Banana beating it (altough Gemini also had a too aggressively tuned racial bias which they fixed), it seems the images ChatGPT generates have gotten better.
I still see that piss filter on their samples. It isn’t as bad, but someone there really loves it.
Pretty mixed feelings on this. From the page at least, the images are very good. I'd find it hard to know that they're AI. Which I think is a problem. If we had a functioning congress, I wonder if we might end up with legislation that these things need to be watermarked or otherwise made identifiable as AI generated..
I also don't like that these things are trained on specific artist's styles without really crediting those artists (or even getting their consent). I think there's a big difference between an individual artist learning from a style or paying it homage, vs a machine just consuming it so it can create endless art in that style.
> If we had a functioning congress, I wonder if we might end up with legislation that these things need to be watermarked or otherwise made identifiable as AI generated..
Not a lawyer, but that reads as compelled speech to me. Materially misrepresenting an image would be libel, today, right?
Well, considering that AI generated content can't be copyrighted (afaik at least), I think we're in very different legal territory when it comes to AI creating things. While it's true that deepfakes could be considered libel.. good luck prosecuting that if you can't even figure out where the image came from.
The problem is it's all too easy to generate - you can't really do much about an individual piece of slop because there's so much of it. I think we need a way to filter this stuff, societally.
Trying to watermark or otherwise label them as AI generated is a lost fight, we should assume every image and video we see online may be AI generated.
This helps the segment of society that is interested in applying critical thinking to what they see. I am not sure that is anything like a majority or even a significant plurality. It seems like just about every image or video gets accused of being AI these days, but predictably the accusations depend on the ideology of the accuser.
You might be onto something. I find every image unsettling. they're very good no doubt, but maybe it disturbs me because all of it is a complete copy of what someone else created. I know, I know, there is no pure invention. That's not what i mean. Humans borrow from other humans all the time. There's a humanity in that! A machine fully repurposing a human contribution as some kind of new creation, iono i'm old, it's weird and i don't like it.
Maybe i'm just bloviating also.
The quality of the text is really impressive and I can’t seem to see any artefacts at all. The fake desktop is particularly good: Nano Banana would definitely slip up with at least a few bits of the background.
There are a couple of AI-esque misspellings - in the More Myth than Menace wolves image, on the right in the "at a glance" section, it reads "wolves aarely approach people," and in the Typography image the text in the top right is "Type connncts us all."
But yeah the quality is remarkable, and rather scary.
I use Nano Banana all the time and this seems like a step up
I caught the last minute of this—was it just ChatGPT Images 2.0?
It appears so!
yes
200+ points in Arena.ai , that's incredible. They are cleaning house with this model
point delta (from 2nd) not total
https://www.youtube.com/watch?v=Adsaiyr7Nv8
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.
Is the situation brighter for a company who owns the hardware and the software, for Apple?
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!
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.
Any thoughts on attempted multiple camera/360 camera solutions? Can make it cost prohibitive to generate exceptional fakes… for a little while
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.
I see signing chains as the way to go here. Your camera signs an image, you sign the signed image, your client or editor signs the image you signed etc etc. Might finally have a use for blockchain.
Its amazingly good at creating UI mockups. Been trying this to create UI mockups for ideas.
One of the images in the blog (https://images.ctfassets.net/kftzwdyauwt9/4d5dizAOajLfAXkGZ7...) is a carbon copy of an image from an article posted Mar 27, 2026 with credits given to an individual: https://www.cornellsun.com/article/2026/03/cornell-accepts-5...
Was this an oversight? Or did their new image generation model generate an image that was essentially a copy of an existing image?
That has to be the wrong stock image included or something, bloody hell.
It's practically all dark except for a few spots. It's the same image just different size compression whatever. I can't find it in any stock image search, though. Surely it could not have memorized the whole image at that fidelity. Maybe I just didn't search well enough.
Or the image was generated with AI in the first place and a test for Images 2.0
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This is hilarious. Seems like kind of a random image for a model to memorize, but it could be.
There is definitely enough empirical validation that shows image models retain lots of original copies in their weights, despite how much AI boosters think otherwise. That said, it is often images that end up in the training set many times, and I would think it strange for this image to do that.
Regardless, great find.
I feel it's too much of a perfect match to be generated from the model's memory. It's pixel perfect. Gotta be a mistake.
Given the recency of that image, it is unlikely it is in the training data and therefore I would go with oversight.
The image is likely older than the article given this picture from over a year ago.
https://www.instagram.com/p/DGQ01bzTwyo/
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It seems to still have this gpt image color that you can just feel. The slight sepia and softness.
I was just wondering about that. Did they embrace it as a “signature look”? it cant be accidental, right?
It's definitely not accidental but I'm not completely sure whether or not it is simply a "tell" or watermark or an attempt to foster brand association.
It's the Stranger Things nostalgia filter. Almost all the sample pictures they had looked like they were vaguely from the 90s-00s era.
My test for image models is asking it to create an image showing chess openings. Both this model and Banana pro are so bad at it.
While the image looks nice, the actual details are always wrong, such as showing pawns in wrong locations, missing pawns, .. etc.
Try it yourself with this prompt: Create a poster to show opening game for Queen's Gambit to teach kids to play chess.
It almost nailed it for me (two squares have both white and black color). All pieces and the position look correct.
What move? Who's turn is it? Declined or accepted? Garbage in, garbage out.
In some cases I would agree with this, but image model releases including this one are beginning to incorporate and market the thinking step. It is not a reach at this point to expect the model to take liberties in order to deliver a faithful and accurate representation of your request. A model could still be accurate while navigating your lack of specificity.
Kasparov vs Karpov ‘87 Olympiad. Move 6
What do you mean? Parent clearly describes the Queen's Gambit. 1.d4 d5 2.c4 There is no room for ambiguity here.
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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 generators can do", with very little "here's how image generators are necessary for society.
On the flip side, there are hundreds of ways that these tools cause genuine harm, not just to individuals but to entire systems.
Democratizing visual communication is arguably useful, for instance helping people to create diagrams that illustrate a concept they wish to convey. This is contingent on the tech working sufficiently well that the visuals are more effective at communication than the text that went into producing them though.
It's always felt like way overhyping to call something "democratization" when it's something I could do as a middle schooler in 2005. It takes some skill to do very well but it's not like basic diagram creation isn't something people already could do for basically free (I create figures for my job all the time now and chatGPT is more expensive than tools I use for design).
Commissioning high quality diagrams from a designer is expensive and I guess it's much cheaper now to essentially commission something but idk, "democratization" still feels weird for just undercutting humans on price.
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My workplace does this for EVERYTHING. And they are always immediately obviously AI slop, both because we all know they wouldn't ever pay an actual artist to create graphics, but also because the people creating the graphics have no sense of style and let it generate the most generic shit possible with zero creativity.
It's definitely not helpful. It's just annoying and disgusting and a waste of resources IMO. But hey at least Powerpoint presentations have AI slop instead of stuff taken from Google Images!?
Can these people not just create a diagram with their own hands? Literally a pencil and paper.
I am at the point where I would prefer a poorly human drawn diagram with terrible handwriting over AI slop.
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I'm not convinced that "arguably useful" is sufficient to offset its much more heavily-used application as a casually-available disinformation engine.
I mean, the cat's out of the bag; but the cat stinks.
How else do you expect me to illustrate my LLM-generated blog posts about AI?
Oh my. You still make those? Ever since model chupacobra 2.46 we have AI agents making those for us. At one point I was on the fence about totally outsourcing it to agents but it's way more efficient. Now I have 50 posts a day under different names.
The same question could be poised of art in general. I know that response would (and probably should) ruffle peoples' figurative feathers, but I think it's worth considering. A lot of art isn't "necessary for society".
The question still stands, "are the benefits worth the cost to society", but it bears remembering we do a lot of things for fun which aren't "necessary for society".
I used to think like what you describe, but I've fallen on the side of "art is just more emotionally resonant human communication". And most of the time human communication with more effort and thought behind it. AI art falls short on both being human and, on average, having more effort or thought behind it than your general interaction at the supermarket.
I will say, it can be emotionally resonant though - but it's a borrowed property from the perception of human communication and effort that made the art the models were trained on.
If you want to say the complete destruction of truth is worth it because some people are having "fun" then idk.
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The difference between "art in general" and this is scale and speed. Sure, I'll grant you that people are going to engage in deception with or without this but the barrier to entry with this is literally on the floor. Do you have a $5 prepaid VISA? You can generate whatever narrative you want in 30 seconds. Replace the $5 Prepaid VISA with the pocketbook of a three letter agency and it starts getting crazy.
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Art is for the producer, and if they feel it’s necessary for them to produce it than it’s necessary for them, and what is necessary for the individual extends to the society they’re in.
The problem is I'd prefer access to near-photorealistic image gen to be commodified vs something that is restricted, as then only those willing to skirt the law or can leverage criminal networks have access to it.
Every technological advance in this space has caused harm to someone.
The advent of digital systems harmed artists with developed manual artistic skills.
The availability of cheap paper harmed paper mills hand-crafting paper.
The creation of paper harmed papyrus craftsmen.
The invention of papyrus really probably pissed off those who scraped the hair off thin leather to create vellum.
My point is that in line with Jevon's paradox there is always a wave of destruction that occurs with technological transformation, but we almost always end up with more jobs created by the technology in the middle and long term.
Ok, but the models only know what to draw because we fed them images of dementia patients and babies.
Maybe image generators can be a loophole for consent legally, but it seems even grosser morally.
Is the argument any different replacing the word "image generators" with "photoshop" ?
Scale matters. Using Photoshop took vastly more time and skill to pull off realistic images, limiting how many could be made. With image generation there's no practical limit. Some of it will be used for relatively innocuous purposes like making joke images for friends or menus for restaurants. But the floodgates are open for more socially negative uses.
If you're the only one in the world with an internal combustion engine, the environmental impact doesn't matter at all. When they're as common as they are now, we should start thinking about large-scale effects.
It turns out that effort matters
Prototyping. Suppose you have a hard time expressing your vision in words or executing it visually.
1. Generate 100s or 1000s of low-fidelity candidates, find something that matches your vision, iterate.
2. Hand that generated image off to a human and say, "This is what I'm thinking of, now how do we make it real?"
Important: do not skip the last step.
You audit thousands of genAI prototype candidates?
Not much beyond food, water, and shelter is "necessary" for society, but it's nice to have nice things.
I'm teaching my 4 year old to read. She likes PAW Patrol, but we've kind of exhausted the simple readers, and she likes novelty. So yesterday I had an LLM create a simple reader at her level with her favorite characters, and then turned each text block into a coloring page for her. We printed it off, she and her younger sister colored it, and we stapled it into her own book.
I could come up with 10 3 word sentences myself of course, but I'm not really able to draw well enough to make a coloring book out of it (in fact she's nearly as good as me), and it also helps me think about a grander idea to turn this into something a little more powerful that can track progress (e.g. which phonemes or sight words are mastered and which to introduce/focus on) and automatically generate things in a more principled way, add my kids into the stories with illustrations that look like them, etc.
Models will obviously become the foundation of personalized education in the future, and in that context, of course pictures (and video) will be necessary!
Repetition rather than novelty is good for learning.
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So the use case is just IP theft so you can get more Paw Patrol?
AI aside, if you’ve truly exhausted all the simple readers, maybe she should move on to more advanced books instead of repeating more of the same and gamifying it, which seems a great way to destroy a child’s natural curiosity.
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Saving money for businesses trying to promote their products?
> Genuine question: what positive use cases are sufficient to accept the harm from image generators?
Diagrams and maps. So much text-based communication begs for a diagram or a map.
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.
That's a multimodal model with text output, I think GP is asking about image generators.
Are those sufficiently valuable that the death of photographic evidence is worth it?
Could the same argument not be applied to practically everything and have drastically different perspectives from people?
I have plenty for you:
- package design
- pictures for manuals and guides
- navigation and signs
- booklets, tickets and flyers
- logos of all sorts
- websites
- illustrations for books
And many. many others. Not every image is art and very few illustrators are artists.
So the benefits are that something that was already being mass produced with no issue is slightly easier to mass produce?
It's not a particularly compelling argument.
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No idea why you were down voted, I think that's exactly how this will get used.
I'm already imagining this is how the local live indie band night I sometimes go to will generate poster images each week for the bands that are playing, whether to put up at the venue or post to social media. And the bands might be using it to design images to put on their t-shirts and other merch. I already know some indie bands using this stuff for their album covers.
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How do these justify the costs to society?
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people pay them to use it, they find that positive
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I a 5’5” male can make myself look taller on dating apps
Short kings on tinder no more!
/s
Looks like analog clocks work well enough now, however it still struggles with left-handed people.
Overall, quite impressed with its continuity and agentic (i.e. research) features.
do they have anything similar to SynthID, or are they just pretending that problem doesn't exist?
I know this is probably mega cherry-picked to look more impressive, but some of the images are terrifyingly realistic. They seem to have put a lot of effort into the lighting.
> Integrating an imperceptible, robust, and content-specific watermark
From the system card someone linked elsewhere in the discussion
Zhao et al. 2023 showed any imperceptible watermark is provably removable by generative regeneration: pass the image through an img2img or VAE, the model reconstructs it visually identical but starts from a different latent. Watermark gone. SynthID and similar schemes do hold up well against normal sharing: recompression, crops, color tweaks, Twitter's pipeline. That covers most users. But the asymmetry is stuck — normally a GPU and a bit of motivation should be enough to strip it. Right? Got a tool to share? ;-)
> do they have anything similar to SynthID, or are they just pretending that problem doesn't exist?
At least they aren't pretending that a solution exists.
I feel like asking the image generators to mark AI images is the wrong way to go about it. It's like trying to maintain a blocklist. It seems better to me to have the major camera manufacturers or cell phones cryptographically sign their images as real.
I feel like this idea comes up often and in my opinion it doesn't solve anything. Take a picture of an AI image and you've made this approach useless. Which then goes to the argument of "well you'll see it's a picture of a picture" to which I will say there are plenty of ways to make this not appear so, and the ultimate form of this argument is that you can eventually project light directly into the photosensors, or otherwise hack the input between the photosensors and the rest of whatever digital magic that turns light into a JPG on your phone.
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Maybe a stupid question, but does the SynthID still exist if you screenshot and crop your generated image? What if you screenshot, rotate _just_ a bit, and crop? Or apply some other effect to the image like adjusting the coloring a little bit, adding some blur, etc.
The paper they published last year goes over some of these transformations: https://arxiv.org/pdf/2510.09263
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 & scaled.
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Hopefully the arms race will balance out with improved AI image detection, but I can see how that will never be guaranteed to be reliable.
Someone remind me again why this is a good idea to be able to create perfect fake images?
If every single image on their blog was generated by Images 2.0 (I've no reason to believe that's not the case), then wow, I'm seriously impressed. The fidelity to text, the photorealism, the ability to show the same character in a variety of situations (e.g. the manga art) -- it's all great!
Why do all of the cartoons still look like that? Genuinely asking.
Can it generate transparent PNGs yet?
Previous gpt image models could (when generating, not editing) but gpt-image-2 can't.
Noticed it earlier while updating my playground to support it
https://github.com/alasano/gpt-image-playground
Works for me, but really weirdly on iOS: Copying to clipboard somehow seems to break transparency; saving to the iOS gallery does not. (And I’ve made sure to not accidentally depend on iOS’s background segmentation.)
OpenAI’s API docs are frustratingly unclear on this. From my experience, you can definitely generate true transparent PNG files through the ChatGPT interface, including with the new GPT-Image-2 model, but I haven’t found any definitive way to do the same thing via the API.
I wonder if this confirms version 1 of some kind of "world model."
It has an unprecedented ability to generate the real thing (for example, a working barcode for a real book)
I decided to run gpt-image-2 on some of the custom comics I’ve come up with over the years to see how well it would do, since some of them are pretty unusual. Overall, I was quite impressed with how faithful it adhered to the prompts given that multi-panel stuff has to maintain a sense of continuity.
Was surprised to see it be able to render a decent comic illustrating an unemployed Pac-Man forced to find work as a glorified pie chart in a boardroom of ghosts.
https://mordenstar.com/other/gpt-2-comics
Well artists, you guys had a good run thank you for your service.
I would love to see prompt examples that created the images on the announcement page.
You can by changing the view before the gallery
Every time a new image gen comes out I keep saying that it won't get better just to be surprised again and again. Some of the examples are incredible (and incredibly scary. I feel like this is truly the point where understanding if something is AI becomes impossible)
So do you think there will be a better image model in a year?
I'll bite: no I don't think so. If the examples are not cherry-picked and by "image model" we mean just the ability to generate pictures, this looks like parity with human excellence, there isn't much space for further improvement. The images don't just look real, they look tasteful- the model is not just generating a credible image, it's generating one that shows the talent of a good photographer/ designer/ artist.
I'm honestly unsure what could be improved at this point.
Consistency? So it fails less often?
Based on the released images, (especially the one "screenshot" of the Mac desktop) I feel like the best images from this model are so visually flawless that the only way to tell they're fake is by reasoning about the content of the image itself (ex. "Apple never made a red iPhone 15, so this image is probably fake" or "Costco prices never end in .96 so this image is probably fake")
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In the next round of ChatGPT advertisements, if they don’t use AI generated images, then that means they don’t believe in their own product right?
I wonder if this will be decent at creating sprite frame animations. So far I've had very poor results and I've had to do the unthinkable and toil it out manually.
I created this little demo of an animated sprite sheet using generative AI. It's not great, but it is passable.
https://mordenstar.com/other/hobbes-animation/
Looks good to me. Would be nice to see the process. I'm having trouble with parts of the stride when the far leg is ahead. Doing 8-directional isometric right now.
I had exactly the same thought! I've got a game I've been wanting to build for over a decade that I recently started working on. The art is going to be very challenging however, because I lack a lot of those skills. I am really hoping the AI tools can help with that.
Is anyone doing this already who can share information on what the best models are?
Use the imagegen skill in codex and ask it to create sprites. It works really well.
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It's still bad.
Yay, let's burn the planet computing more slopium..
It stands out to me that this page itself is wonderful to go through (the telling of the product through model generated images).
Model card for the API endpoint gpt-image-2 (which may or may not reflect the output from ChatGPT Images 2): https://developers.openai.com/api/docs/models/gpt-image-2
API Pricing is mostly unchanged from gpt-image-1.5, the output price is slightly lower: https://developers.openai.com/api/docs/pricing
...buuuuuuuuut the price per image has changed. For a high quality image generation the 1024x1024 price has increased? That doesn't make sense that a 1024x1024 is cheaper than a 1024x1536, so assuming a typo: https://developers.openai.com/api/docs/guides/image-generati...
The submitted page is annoyingly uninformative, but from the livestream it proports the same exact features as Gemini's Nano Banana Pro. I'll run it through my tests once I figure out how to access it.
> That doesn't make sense that a 1024x1024 is cheaper than a 1024x1536, [...]
I think you meant more expensive, right? Because it would make sense for it to be cheaper as there are less pixels.
> you can make your own mangas
No you can’t.
You still have the studio ghibili look from the video. The issue of generating manga was the quality of characters, there’s multiple software to place your frame.
But I am hopeful. If I put in a single frame, can it carry over that style for the next images? It would be game changing if a chat could have its own art style
the tragedy of image generating ai is that it is used to massively create what already exists instead of creating something truly unique - we need ai artists - and yeah, they will not be appreciated
so yeah a smart move of openai would be to sponsor artists - provokant ones, junior ones, with nothing to lose - but that cell in the spreadsheet will be too small to register and will prop. never happen
Scrolling through those images it just feels like intellectual theft on a massive scale. The only place I think you're going to get genuinely new ideas is from humans. Whether those humans use AI or not I don't care, but the repetitive slop of AI copying the creative output of humans I don't find that interesting. Call me a curmudgeon. I guess humans also create a lot of derivative slop even without AI assistance. If this leads somehow to nicer looking user interfaces and architecture maybe that is good thing. There are a lot of ugly websites, buildings and products.
> On the flip side, there are hundreds of ways that these tools cause genuine harm, not just to individuals but to entire systems.
Yeah, agree. I think it's the first time I'm asking myself: Ok, so this new cool tech, what is it good for? Like, in terms of art, it's discarded (art is about humans), in terms of assets: sure, but people is getting tired of AI-generated images (and even if we cannot tell if an image is AI-generated, we can know if companies are using AI to generate images in general, so the appealing is decreasing). Ads? C'mon that's depressing.
What else? In general, I think people are starting to realize that things generated without effort are not worth spending time with (e.g., no one is going to read your 30-pages draft generated by AI; no one is going to review your 500 files changes PR generated by AI; no one is going to be impressed by the images you generate by AI; same goes for music and everything). I think we are gonna see a Renaissance of "human-generated" sooner rather than later. I see it already at work (colleagues writing in slack "I swear the next message is not AI generated" and the like)
> I think it's the first time I'm asking myself: Ok, so this new cool tech, what is it good for?
I feel like this is something people in the industry should be thinking about a lot, all the time. Too many social ills today are downstream of the 2000s culture of mainstream absolute technoöptimism.
Vide. Kranzberg's first law--“Technology is neither good nor bad; nor is it neutral.”
Completely unrelated, but I am curious about your keyboard layout since you mistyped ö instead of - these two symbols are side by side in the Icelandic layout, and the ö is where - in the English (US) layout. As such this is a common type-o for people who regularly switch between the Icelandic and the English (US) layout (source: I am that person). I am curious whether more layouts where that could be common.
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I can’t design wallpapers/stickers/icons/…, but I can describe what I want to an image generation model verbally or with a source photo, and the new ones yield pretty good results.
For icons in particular, this opens up a completely new way of customizing my home screen and shortcuts.
Not necessary for the survival of society, maybe, but I enjoy this new capability.
So we get a fresh new cheap way to spread propaganda and lies and erode trust all across society while cementing power and control for a few at the top, and in return get a few measly icons (as if there weren’t literally thousands of them freely available already) and silly images for momentaneous amusement?
What a rotten exchange.
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Is that worth the cost of this technology? Both in terms of financial shenanigans and its environmental cost?
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This is where I’m at. If you can’t be bothered to write/make it, why would I be bothered to read or review it?
Because I'm not an artist and can't afford to pay one for whatever business I have? This idea that only experts are allowed to do things is just crazy to me. A band poster doesn't have to be a labor of love artisanal thing. Were you mad when people made band posters with MS word instead of hiring a fucking typesetter? I just don't get it.
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Exactly how I feel. There is already more art, movies, music, books, video games and more made by human beings than I can experience in my lifetime. Why should I waste any time on content generated by the word guessing machine?
Nobody can be bothered to make my cat out of Lego and the size of mount Everest but if an AI did I'd sure love to see it.
Your quip is pithy but meaningless.
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The issue is that the signalling makes sense when human generated work is better than AI generated. Soon AI generated work will be better across the board with the rare exception of stuff the top X% of humans put a lot of bespoke highly personalized effort into. Preferring human work will be luxury status-signalling just like it is for clothing, food, etc.
I'm probably in a weird subgroup that isn't representative of the general public, but I've found myself preferring "rough" art/logos/images/etc, basically because it signals a human put time into it. Or maybe not preferring, but at least noticing it more than the generally highly refined/polished AI artwork that I've been seeing.
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I think "better" is doing a lot of heavy lifting in this argument. Better how?
Is an AI generated photo of your app/site going to be more accurate than a screenshot? Or is an AI generated image of your product going to convey the quality of it more than a photo would?
I think Sora also showed that the novelty of generating just "content" is pretty fleeting.
I would be interested to see if any of the next round of ChatGPT advertisements use AI generated images. Because if not, they don’t even believe in their own product.
The issue being, it's not an expression of anything. Merely like a random sensation, maybe some readable intent, but generic in execution, which isn't about anything even corporate art should be about. Are we going to give up on art, altogether?
Edit: One of the possible outcomes may be living in a world like in "Them" with glasses on. Since no expression has any meaning anymore, the message is just there being a signal of some kind. (Generic "BUY" + associated brand name in small print, etc.)
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Only novel art is interesting. AI can't really do novel. It's a prediction algorithm; it imitates. You can add noise, but that mostly just makes it worse. It can be used to facilitate original stuff though.
But so many people want to make art, and it's so cheap to distribute it, that art is already commoditized. If people prefer human-created art, satisfying that preference is practically free.
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"Artisanal art" as it were.
The goal of art isn't to be perfect or as realistic as possible. The goal of art is to express, and enjoy that unique expression.
> Preferring human work will be luxury status-signalling just like it is for clothing, food, etc.
What? Those items are luxuries when made by humans because they are physical goods where every single item comes with a production and distribution cost.
Here’s one example:
I just recently used for image generation to design my balcony.
It was a great way to see design ideas imagined in place and decide what to do.
There are many cases people would hire an artist to illustrate an idea or early prototype. AI generated images make that something you can do by yourself or 10x faster than a few years ago.
Did the same for my front garden.
Not withstanding a few code violations, it generated some good ideas we were then able to tweak. The main thing was we had no idea of what we wanted to do, but seeing a lot of possibilities overlaid over the existing non-garden got us going. We were then able to extend the theme to other parts of the yard.
100%. A picture is worth a thousand words only when it conveys something. I love to see the pictures from my family even when they are taken with no care to quality or composition but I would look at someone else’s (as in gallery/exhibitions) only when they are stunning and captured beautifully. The medium is only a channel to communicate.
Also, this can’t be real. How many publications did they train this stuff on and why are there no acknowledgment even if to say - we partnered with xyz manga house to make our model smarter at manga? Like what’s wrong with this company?
We need to flip the script. AI is trying to do marketing: add “illegal usage will lead to X” is a gateway to spark curiosity. There is this saying that censoring games for young adults makes sure that they will buy it like crazy by circumventing the restrictions because danger is cool.
There is nothing that cannot harm. Knives, cars, alcohol, drugs. A society needs to balance risks and benefits. Word can be used to do harm, email, anything - it depends on intention and its type.
I see your point but reconsider: we will and need to see. Time will tell and this is simply economics: useful? Yes, no.
I started being totally indifferent after thinking about my spending habits to check for unnecessary stuff after watching world championships for niche sports. For some this is a calling for others waste. It is a numbers game then.
>and even if we cannot tell if an image is AI-generated, we can know if companies are using AI to generate images in general, so the appealing is decreasing
Is that true? Don't think I'd get tired of images that are as good as human made ones just because I know/suspect there may have been AI involved
The technically (in both senses) astonishing and amazing output is not far off from some of the qualities of real advertising: Staged, attention grabbing, artificially created, superficially demanded, commercially attractive qualities. These align, and lots of similarities in the functions and outcomes of these two spheres come to mind.
I think there's real value to be had in using this for diagrams.
Visual explanations are useful, but most people don't have the talent and/or the time to produce them.
This new model (and Nano Banana Pro before it) has tipped across the quality boundary where it actually can produce a visual explanation that moves beyond space-filling slop and helps people understand a concept.
I've never used an AI-generated image in a presentation or document before, but I'm teetering on the edge of considering it now provided it genuinely elevates the material and helps explain a concept that otherwise wouldn't be clear.
Are there any models that are specifically trained to produce diagrams as SVG? I'd much prefer that to diffusion-based raster image generation models for a few reasons:
- The usual advantages of vector graphics: resolution-independence, zoom without jagged edges, etc.
- As a consequence of the above, vector graphics (particularly SVG) can more easily be converted to useful tactile graphics for blind people.
- Vector graphics can more practically be edited.
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This is the key point. In my view it's just like anything else, if AI can help humans create better work, it's a good thing.
I think what we'll find is that visual design is no longer as much of a moat for expressing concepts, branding, etc. In a way, AI-generated design opens the door for more competition on merits, not just those who can afford the top tier design firm.
yeah I'm not sure I'm in agreement that we can hand-wave assets and ads as entire classes of valuable content
I tend to share your same view. But is there really a line like you describe? Maybe AI just needs to get a few iterations better and we'll all love what it generates. And how's it really any different than any Photoshop computer output from the past?
> What else?
I used to have an assistant make little index-card sized agendas for gettogethers when folks were in town or I was organising a holiday or offsite. They used to be physical; now it's a cute thing I can text around so everyone knows when they should be up by (and by when, if they've slept in, they can go back to bed). AI has been good at making these. They don't need to be works of art, just cute and silly and maybe embedded with an inside joke.
I'm not seeing how it takes more than 5 minutes to type up an itinerary. If you want to make it cute and silly, just change up the font and color and add some clip art.
If this is the best use case that exists for AI image generation, I'm only further convinced the tech is at best largely useless.
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You are kidding, right?
It's good that my friends don't make a coffee date feel like a board meeting (with an agenda shared by post 14 working days ahead of the meeting, form for proxy voting attached).
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I don't care how many times you write "cute," having my vacation time programmed with that level of granularity and imposed obligation sounds like the definition of "dystopian."
If I got one of your cute schedule cards while visiting you, I'd tear it up, check into a cheap motel, and spend the rest of my vacation actually enjoying myself.
Edit: I'm not an outlier here. There have even been sitcom episodes about overbearing hosts over-programming their guests' visits, going back at least to the Brady Bunch.
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I'm working on an edutech game. Before I would've had much less of a product because I don't have the budget to hire an artist and it would've been much less interactive but because of this I'm able to build a much more engaging experience so that's one thing. For what it's worth.
While I agree with you, hacker news audience is not in the middle of the bell curve.
I get this sounds elitist - but tremendous percentage of population is happily and eagerly engaging with fake religious images, funny AI videos, horrible AI memes, etc. Trying to mention that this video of puppy is completely AI generated results in vicious defense and mansplaining of why this video is totally real (I love it when video has e.g. Sora watermarks... This does not stop the defenders).
I agree with you that human connection and artist intent is what I'm looking for in art, music, video games, etc... But gawd, lowest common denominator is and always has been SO much lower than we want to admit to ourselves.
Very few people want thoughtful analysis that contradicts their world view, very few people care about privacy or rights or future or using the right tool, very few people are interested in moral frameworks or ethical philosophy, and very few people care about real and verifiable human connection in their "content" :-/
HN is absolutely not more critical of AI output than the norm.
It's been true for various technologies that HN (and tech audiences in general) have a more nuanced view, but AI flips the script on that entirely. It's the tech world who are amazed by this, producing and being delighted by endless blogposts and 7-second concept trailers.
I recently shoulder-surfed a family member scrolling away on their social media feed, and every single image was obvious AI slop. But it didn't matter. She loved every single one, watched videos all the way through, liked and commented on them... just total zombie-consumption mode and it was all 100% AI generated. I've tried in the past pointing out that it's all AI generated and nothing is real, and they simply don't care. People are just pac-man gobbling up "content". It's pretty sad/scary.
> Like, in terms of art, it's discarded (art is about humans)
If a work of art is good, then it's good. It doesn't matter if it came from a human, a neanderthal, AI, or monkeys randomly typing.
The connection with the artist, directly, or across space and time, is a critical part of any artwork. It is one human attempting to communicate some emotional experience to another human.
When I watch a Lynch film I feel some connection to the man David Lynch. When I see a AI artwork, there is nothing to connect with, no emotional experience is being communicated, it is just empty. It's highest aspiration is elevator music, just being something vaguely stimulating in the background.
Provenance is part of the work. If a roomful of monkeys banged out something that looked like anything, I'd absolutely hang it on my wall. I would not say the same for 99% of AI generated art.
Whether art is considered good is in practice highly contextual. One of those contexts is who (what) made it.
Seems good enough to generate 2D sprites. If that means a wave of pixel-art games I count it as a net win.
I dont think gamers hate AI, it is just a vocal miniority imo. What most people dislike is sloppy work, as they should, but that can happen with or without AI. The industry has been using AI for textures, voices and more for over a decade.
> Seems good enough to generate 2D sprites.
It’s really not. That's actually a pet peeve of mine as someone who used to spent a lot of time messing with pixel art in Aseprite.
Nobody takes the time to understand that the style of pixel art is not the same thing as actual pixel art. So you end up with these high-definition, high-resolution images that people try to pass off as pixel art, but if you zoom in even a tiny bit, you see all this terrible fringing and fraying.
That happens because the palette is way outside the bounds of what pixel art should use, where proper pixel art is generally limited to maybe 8 to 32 colors, usually.
There are plenty of ways to post-process generative images to make them look more like real pixel art (square grid alignment, palette reduction, etc.), but it does require a bit more manual finesse [1], and unfortunately most people just can’t be bothered.
[1] - https://github.com/jenissimo/unfake.js
There are already more games being released on Steam than anyone can keep up with, I'm not sure how adding another "wave" on top of it helps.
AI for textures for over a decade? What AI?
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Are you kidding? I think I see more vitriol for AI in gaming communities than anywhere else. To the point where steam now requires you to disclose its usage
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The Human Renaissance is something I've been thinking of too and I hope it comes to pass. Of course, I feel like societally, things are gonna get worse for a lot of folks. You already see it in entire towns losing water or their water becoming polluted.
You'd think these kickbacks leaders of these towns are getting for allowing data centers to be built would go towards improving infrastructure but hah, that's unrealistic.
WTF is that unrealistic? SMH
>You already see it in entire towns losing water or their water becoming polluted
Do you have any references for such cases? I have seen talk of such thing at risk, but I am unaware of any specific instances of it occuring
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>Like, in terms of art, it's discarded (art is about humans)
I dunno how long this is going to hold up. In 50 years, when OpenAI has long become a memory, post-bubble burst, and a half-century of bitrot has claimed much of what was generated in this era, how valuable do you think an AI image file from 2023 - with provenance - might be, as an emblem and artifact of our current cultural moment, of those first few years when a human could tell a computer, "Hey, make this," and it did? And many of the early tools are gone; you can't use them anymore.
Consider: there will never be another DallE-2 image generation. Ever.
My only actual use of image or video AI tools is self-entertainment. I like to give it prompts and see the results it gives me.
That's it. I can't think of a single actual use case outside of this that isn't deliberately manipulative and harmful.
>In general, I think people are starting to realize that things generated without effort are not worth spending time with
Agreed mostly, BUT
I'm building tools for myself. The end goal isn't the intermediate tool, they're enabling other things. I have a suspicion that I could sell the tools, I don't particularly want to. There's a gap between "does everything I want it to" and "polished enough to justify sale", and that gap doesn't excite me.
They're definitely not generated without effort... but they are generated with 1% of the human effort they would require.
I feel very much empowered by AI to do the things I've always wanted to do. (when I mention this there's always someone who comes out effectively calling me delusional for being satisfied with something built with LLMs)
Porn and memes. Obviously. This is all that Stable Diffusion has been used for since it was released.
I completely disagree, this replaces art as a job. Why does human art need monetary feedback to be shared? If people require a paycheck to make art then it was never anything different than what Ai generated images are.
As for advertising being depressing - its a little late to get up on the high horse of anti-Ads for tech after 2 decades of ad based technology dominating everything. Go outside, see all those bright shiny glittery lights, those aren't society created images to embolden the spirit and dazzle the senses, those are ads.
North Korea looks weird and depressing because the don't have ads. Welcome to the west.
AI loopidity rearing it's head. Just send the bullet points that we all want anyway, right?! Stop sending globs of text and other generated content!
Oh my god, it's very nice!
Why is it all so asian?
Having 60% of the world’s population might do that.
Oh wow, scrolling through the page on mobile makes me dizzy
Can it generate anything high resolution at increased cost and time? Or is it always restricted?
We were afraid it would be Skynet and instead we got the ultimate meme generator !
Now we'll just get teabagged by killer robots for the lolz.
Pretty much all of the kerfuffle over AI would go away of it was accurately priced.
After 2008 and 2020 vast (10s of trillions) amounts of money has been printed (reasonably) by western gov and not eliminated from the money supply. So there are vast sums swilling about - and funding things like using massively Computationally intensive work to help me pick a recipie for tonight.
Google and Facebook had online advertising sewn up - but AI is waaay better at answering my queries. So OpenAI wants some of that - but the cost per query must be orders of magnitude larger
So charge me, or my advertisers the correct amount. Charge me the right amount to design my logo or print an amusing cat photo.
Charge me the right cost for the AI slop on YouTube
Charge the right amount - and watch as people just realise it ain’t worth it 95% of the time.
Great technology - but price matters in an economy.
Fake layouts, fake handwritten kid story, fake drunk photos? All from training on real things people did.
As with anything AI, we are not ready for the scale of impact. And for what? Like, why are you proud of this?
I find the video to be very annoying. Am I supposed to freeze frame 4x per second to be able to see whether the images are actually good? I've never before felt stressed watching a launch video.
Yeah same. At first I thought they're using it to conceal quality, but pausing it they do actually look really good, so strange choice.
Maybe it's meant to convey pace & hype
Maybe so, but to me it conveys a headache.
great obfuscation idea - hidden message on a grain of rice
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.
I told my mom not to believe anything unless she trusts the source. The way people always did with text.
IMO you're fighting the wrong battle: there'll always be a new model.
But the broader concept of fake news and the manufactured nature of media and rhetoric is much more relevant - e.g. whether or not something's AI is almost immaterial to the fact that any filmed segment does not have to be real or attributed to the correct context.
Its an old internet classic just to grab an image and put a different caption on it, relying on the fact no one can discern context or has time to fact check.
The page keeps crashing on my iPhone 17 Pro.
there's something funny going on with the live stream audio
Wow, the difference between AI and non-AI images collapses. I hate the future where I won't be able to tell the difference.
I wake up everyday, read the tech news, and usually see some step change in AI or whatever. It's wild to think I'm living through such a massive transformation in my lifetime. The future of tech is going to be so different from when I was born (1980), I guess this is how people born in 1900 felt when they got to see man land on the moon?
> Wow, the difference between AI and non-AI images collapses. I hate the future where I won't be able to tell the difference.
Image generation is now pretty much "solved". Video will be next. Perhaps things will turn out the same as chess: in that even though chess was "solved" by IBM's Deep Blue, we still value humans playing chess. We value "hand made" items (clothes, furniture) over the factory made stuff. We appreciate & value human effort more than machines. Do you prefer a hand-written birthday card or an email?
"Solved" seems a tad overstated if you scroll up to Simonw's Where's Waldo test with deformed faces plus a confabulated target when prompted for an edit to highlight the hidden character with an arrow.
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As someone born in 1975 I always felt until the last couple of years that I had been stuck in a long period of stagnation compared to an earlier generation. My grandmother who was born in the 1910s got to witness adoption of electricity, mass transit, radio, television, telephony, jet flights and even space exploration before I was born.
Feels like now is a bit of a catchup after pretty tepid period that was most of my life.
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Chess exists solely for the sake of the humans playing it. Even if machines solved chess, people would rather play chess against a person than a machine because it is a social activity in a way. It's like playing tennis versus a person compared to tennis against a wall.
Photographs, videos, and digital media in general, in contrast, are used for much, much more than just socializing.
Well, for some of these images for the first time I can't tell that they are AI generated
fal has the endpoint under openai/gpt-image-2
It's great. Also doesn't seem to have any "slop" standard look, the images it produces are quite diverse.
I would imagine this will hit illustrators / graphics designers / similar people very hard, now that anyone can just generate professional looking graphical content for pennies on the dollar.
I don't know how this benefits humanity. In what way was ChatGPT Images 1.0 not already good enough? Perhaps some new knowledge was created in the process?
Ok, I can hear the sound of entire industries crumbling right now.
How hard is it to have a video player with a fucking volume toggle?
https://openai.com/index/introducing-chatgpt-images-2-0/
Thanks, all displayed images look horrible and artificial. This will fail like Sora.
Hard disagree on this, I was coming here to comment that this is the first time I really can't tell that some of the photos are AI generated.
I felt the same, particularly with the diagrams / magazines anyway.
I don't think it'll fail like Sora though. gpt-image-1.5 didn't fail.
Denial is real…
Your single other comment is simplistic hyperbole as well, so this is presumably a bot account.
No gpt-5.5
Thursday
for video game assets this is massive.
but in general though - will people believe in anything photographic ?
imagine dating apps, photographic evidence.
I'm guessing we're gonna reach a point where - you fuck up things purposely to leave a human mark.
> for video game assets this is massive.
Storefronts like Steam require disclosing use of AI assets for art. In most indie dev spaces, devs are scolded for using AI art in their games. I wonder if this perspective will change in a few years.
> but in general though - will people believe in anything photographic ?
Hopefully film makes a come back.
lol at the fake handwritten homework assignment. Know your customer!
ChatGPT image generation is and has been horrific for the simple reason that it rejects too many requests. This hasn't changed with the new model. There are too many legal non-adult requests that are rejected, not only for edits, but also for original image generation. I'd rather pay to use something that actually works.
It definitely lost the characteristic slop look.
This is so stupid. As a free OSS tool it’s amazing. Paying money for this is fucking stupid. How blind are we all to now before this tech?
Can it generate Chibi figures to mask the oligarchy's true intentions on Twitter and make them more relatable?
the guys presenting are probably all like 25x smarter than I am but good god, literally 0 on screen presence or personality.
I liked it that way, felt more authentic to see the noobs
That's a trained skill, and they presumably have focused on other skills.
Yeah, skills to make them a cool 10mn a year
eh, i don't think personalities are trained. on screen presence for sure, but you'd see right through it IRL.
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I think its endearing
didn't think that sam guy was that bad
HN submission for a direct link to the product announcement which for some reason is being penalized by the HN algorithm: https://news.ycombinator.com/item?id=47853000
(We eventually merged the threads hither)
Suggest renaming this to "OpenAI Livestream: ChatGPT Images 2.0"
(We've since merged the threads and moved the livestream link to the toptext)
or "How we make money with your images 2.0".
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In 5 years and 3 months between DALL-E and Images 2.0 we've managed to progress from exuberant excitement to jaded indifference.
Who's 'we'? Speak for yourself!
Because we are all seeing the harm these tools are being used for.
It's just another step into hell.
Introducing DeepFakes 2.0 /s
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Image generation? Hmm, would be cool if OpenAI also made a video-generation model someday..
If only there was a social network with solely AI generated videos, I would pay literal money for it...
If I may address this with both skepticism and curiosity, why. I think I speak for everyone when I say I would pay to go back to facebook 2018. No algorithm, no ai.
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Each day when my AI girlfriend wakes me up and shows me the latest news, I feel: This is it! We are living in a revolution!
Never before in history did humanity have the possibility of seeing a picture of a pack of wolves! The dearth of photographs has finally been addressed!
I told my AI girlfriend that I will save money to have access to this new technology. She suggested a circular scheme where OpenAI will pay me $10,000 per year to have access to this rare resource of 21th century daguerreotype.
Oh no.
I am hopeful that OpenAI will potentially offer clarity on their loss-leading subscription model. I'd prefer to know the real cost of a token from OpenAI as opposed to praying the venture-funded tokens will always be this cheap.
Goated release tbh. The text work inside the images are nice
I had it produce a two-page manga with Japanese dialogue. Nearly perfect:
https://www.gally.net/temp/20260422-chatgpt-images-2-example...
Sam Altman in his meeting with Tim Cook two and a half years ago give me money. I think it’ll take $150 billion dollars, Tim Cook well here’s what we’re going to do, this is what I think it’s worth…
Later Google tried the same thing, Apple we will give you a $1 billion dollar a year refund, what’s changed in two and a half years?
I hope they will consider releasing DALL-E 2 publicly, now that there has been so much progress since it was unveiled. It had a really nice vibe to it, so worth preserving.
Yes, I’ve always thought of AI companies as sentimental. They will definitely do this :-/
That's why I want it; their motives for doing it, should they decide to, would presumably be different.
Looks like AI and I look away from any image generated by a LLM. It's my easy internal filter to weed out everything that isn't art.