I'm sure this has been written about but here's what happens long term - images are commoditized and lose their emotional appeal.
Probably about half of us here remember photos before the cell phone era. They were rare, and special, and you'd have a few photos per YEAR to look back on. The feel of photos back then, was at least 100x stronger than now. They were a special item, could be given as a gift. But once they became freely available that same amount of emotion is now split across many thousands of photos. (not saying this is good or bad, just increased supply reducing value of each item)
With image/art generation the same thing will happen and I can already feel it happening. Things that used to be beautiful or fantastic looking now just feel flat and AI-ish. If claymation scenes can be generated in 1s, and I see a million claymation diagrams a year, then claymation will lose its charm. If I see a million fake Tom Cruise videos, then it oversaturates my desire for desire for all Tom Cruise movies.
I believe this is the reason for a return to interest in analog media with both my generation (millenials) and gen-z. I do wedding photography on the side, and the past ~2 years have seen a huge increase in requests for film photography, either exclusively film or as an add-on to digital. Offering film has been one of the best things I've done for my side hustle.
Likewise with the sort of resurgence of vinyl, and the obsession over "old" point and shoot digicams.
The best weddings I've been to had a photo booth where you can have photos printed out (any number) and texted to you. I think that's the best way to do it. I agree, people like physical photos still. I've bought my wife several different ways to print photos, including a smaller portable printer, and one of those Instant photo cameras.
> They were rare, and special, and you'd have a few photos per YEAR to look back on. The feel of photos back then, was at least 100x stronger than now. [...] But once they became freely available that same amount of emotion is now split across many thousands of photos
I don't think I fully agree. Sure people make so many photo's that they don't have the time or the will to start looking through them all.
You can't just whip out your phone and start scrolling through thousands of photo's with friends. It would get so boring so fast.
But if you put some effort into making a nice little selection of the best photo's, that emotion is 100% still there.
Curation was implicit when the cost of image creation was high and authors had to consider the photos they were taking beforehand. Now curation comes afterward.
"One of the primary properties of anything with Mana is a feeling of uniqueness. That one has never encountered something like this before, and therefore it is important. The uniqueness of the thing is a property that pulls you in to focus more closely, to attempt to understand more closely why the thing is unique."
> They were rare, and special, and you'd have a few photos per YEAR to look back on. The feel of photos back then, was at least 100x stronger than now. They were a special item, could be given as a gift. But once they became freely available that same amount of emotion is now split across many thousands of photos. (not saying this is good or bad, just increased supply reducing value of each item)
I take a hundred photos on a trip, my phone uses AI (not even the new fancy AI, but old 5-10 year old stuff to detect smiling faces and people in frame) to pull out less than a dozen that are worth keeping. Once a month or so I get fed a reminder of some past trip.
This isn't any different than before. The number of photos taken is greater, but the overall number of worthwhile photos from a given trip is about the same.
It reminds me of the Star Wars content thats come out recently - before there was the Original Trilogy which we all watched many times and the lines became iconic. Since then it's all become a mismash and blur of mediocrity due to over-exposure.
(except The Mandalorian, and I can't believe I'm using the word "content" :/)
edit: Totally forgot about Andor & Rogue One sorry, great film and two seasons of top-notch storytelling.
And that is the gist of the problem, isn't it? As we approach our forties and beyond, chances are we have lived more than half our lives. So do I really want to spend hours watching something I might hate and might leave a bad taste in my mouth? (See game of thrones season 8 or worse, Westworld the HBO series which I don't even want to know what happened in season 3 or 4). I am sure there are people who will enjoy those but for the average person it is highly unlikely.
I don't fully agree. Perhaps you're right when it comes to images as a whole, but I think individual images themselves still capture that emotional value for me.
Even if there were a million fake Tom Cruise movies I would still like Edge of Tomorrow (even if it had been AI made).
I totally get this, but on the other hand, we have definitely benefited from being able to take more photos. I have some older friends (pushing 80 or so) who sucked at taking photos, so 9 of 10 photos they have from their prime adult years raising their family are blurry to the point of not recognizing the people if you don't already know who they are.
They have great photos from the last 15-20 years, but of course they do, phone cameras are vastly superior to the point-and-shoot cameras from the 70s, and when you reflexively shoot a dozen photos every time you pose for a picture your odds are way better that one will come out clear, everyone looking at the camera, smiling, etc.
> They were rare, and special, and you'd have a few photos per YEAR to look back on.
My generation generally only had photos from birthdays, holidays, vacations, weddings, graduations and reunions. We looked at the three albums which contained every family photo often and I know them all by heart.
My kid was born in 2009 and our family digital album has nearly 1,000 photos per year of her life. And she's seen virtually none of them and seems to have little interest in ever seeing them since she creates so many of her own photos every day which are ephemeral.
You know, all of a sudden, I am starting to lose interest in meticulously drawn Mermaid diagrams in README, perfect grammar and spelling in doc reviews, or neat generated general photographs. They are all correctly presented, of course. But the ideas are mostly wrong, too.
I guess my stick figure hand drawn diagrams, a doc with few mistakes in grammar or spelling would be seen as more worthy to read as long as my ideas are sound. Right? :-)
The first time I got a photo scanner, I was blown away that I could see myself on a screen. I eventually got a digital camera, and the novelty started to wear off. Now I can make myself the lead in a blockbuster movie, but that feels boring.
Strictly speaking, I don't think it is the generation or creation that diminishes their value. it is the consumption.
You said it too:
> If I see a million fake Tom Cruise videos, then it oversaturates my desire for desire for all Tom Cruise movies.
The trick of course is to keep yourself from seeing that content.
The other nuance is that as long as real performance remains unique, which so far it is, we can appreciate more what flesh and blood brings to the table. For example, I can appreciate the reality of the people in a picture or a video that is captured by a regular camera; it's AI version lacks that spunk (for now).
Note that iPhone in its default settings is already altering the reality, so AI generation is far right on that slippery axis.
Perhaps, AI and VR would be the reason why our real hangouts would be more appreciated even if they become rare events in the future.
A kind of the same happend to music. With a LP or a tape, you had to listen to all songs. Later with a CD you just skipped the not so good songs. And with MP3, you don't even bothered to save not so good songs. And now with TikTok etc. a song just have to be 20sec but has to bang hard for this short time.
Unimaginable abundance may sound good (it does to me), but scarcity has value too. We might just find put that its value is too important. I just hope that if we do, it’s not too late.
> If I see a million fake Tom Cruise videos, then it oversaturates my desire for desire for all Tom Cruise movies.
I often call this over-saturation the media equivalent of semantic satiation. Anything commoditized or mass-manufactured isn't going to have emotional appeal.
I've often had an "addictive" personality and now I see it as an over satiation, in a semantic way, sort of thing. When I found something I liked I would over saturate my self in it, and lose interest and move on faster than others I knew.
Feels like what you described describes that inner personality trait better than I have heard before.
As somebody who juggles both figuratively and literally a lot of hobbies, I can definitely relate! One of my friends is a bit like you, they tend to experience the sudden flash of interest in various hobbies, dive extremely deeply and then experience a "bit flip". (a quote describing John Romero's hot/cold personality when he worked at id Software)
With respect to people with a consumptive addictive personality though - I really feel for them, it's a rough time to be alive.
Agree. But there are some use-cases where images can still be of huge help. Making textbooks come alive for instance. We are trying to do that and make a whole bunch of Indian textbooks into comics and free for students. (zerobyheart.com if anyone's interested and would like to make suggestions; the panel-to-panel continuity is still off and something we are working on )
Don't disagree but being the social animals we are, images and videos will never not be important. Things will always feel better when I can connect it with a friendly face.
The source, personal significance, and intent of images and videos will matter a lot, though. I'll cherish photos of my family members forever, regardless of technical excellence.
Or a photo of my freshman dorm room during exam season. Subpar image quality, lousy lighting, etc. but so many memories, positive and negative, are elicited by that fleeting glimpse from an era of excitement, boredom, stress, uncertainty, and optimism, not knowing where I was going in life, when I'd ever look back at that snapshot, but deciding on a whim to grab it during a break from cramming topics now long forgotten.
But I roll my eyes at the idea of injecting my likeness into a short clip depicting random over-the-top action sequences, no matter how photorealistic, because I've never wanted to do that.
I have a photo of a friend I’ve since drifted from, it’s her in her army fatigues after basic. She was had just went through a horrible divorce and that was a shining achievement for her.
The story behind the photo is what makes it matter.
Not the format.
However I will agree AI is a poor substitute. You’ll have people creating AI photos of a fake marriage and fake pets in a big fake house, while they sleep in a bunk bed in a halfway house.
Every time in human civilization there's a new technology, existing humans rail against it and want the Good Old Days back, existing children grow up to get used to it, the generation-to-be-born knows it as the normal baseline, then maybe future generations rediscover the past and take the best things about how things used to be without being held back by how bad they were. (see retro games made after retro games died)
There is more to that, globalization. Now we have 8 billions humans. They are connected to the same infospace (internet) and share much more and more diverse content. Which means a lot more of emotional/interesting/helpful things. While each of them becomes less emotional.
Well, world changes dramatically. Connected old folks are like neanderthals in big city now. However not connected are still living locally in their minds. Youngsters are just accepting the world as it is. Nobody is amused by computers and cameras anymore. (at least in developed areas)
Probably some of us here remember paintings before the photography era. They were rare, and special, and you'd have a few painting per YEAR to look back on. The feel of paintings back then, was at least 100x stronger than now. They were a special item, could be given as a gift. But once they became freely available that same amount of emotion is now split across many thousands of photos. (not saying this is good or bad, just increased supply reducing value of each item)
There is still room for art. Any photographer sees lots of pictures, but can tell the good from the bad, and find pleasure. They don't dismiss photography altogether.
Exactly right. A flood of content devalues content, which devalues whatever makes that content. AI fanboys are gushing over every overhyped release and reveal but are really just showing themselves to be incapable of second order thinking and very susceptible to marketing hype.
I think you're being tricked by nostalgia. It's about the fact that of course older photos you remember have a stronger emotional tie to you (they've had more time to form that bond), and it just so happens that older photos are not digital.
In my experience, a digital photo of myself and my partner used as the lock screen of my phone has the same emotional weight as the one sitting on my desk (which is a print out of a digital photo). Additionally, printing out a photo of you and your partner and gifting it to them has the same weight as going through childhood photo. A scrapbook of a recent vacation filled with printed digital photos evokes memories just as vividly as one from the 80s. On the flip side of this, a photo in a box in the basement has the same weight as a photo sitting in the cloud.
I'll offer you some more food for thought: are Aardman Animations films charming because they use claymation? Or is it the creative force of people like Nick Park and Peter Lord?
> images are commoditized and lose their emotional appeal.
No, ALL CONTENT is asymptotically approaching 0. This includes photos, videos, stories, app features, even code. Code is now worthless. If you want better security from generated code, wait 2 months and it will be better. If you want a photo, you just prompt and it will generate it on the fly.
AI will be generating movies and videos on the fly, either legally or illegally infringing on IP. Do you want a movie where Deadpool fights The Hulk? Easy. And just like how ad technology knows your preferences, each movie will be individually tailored to YOUR liking just so that your engagement will increase. Do you like happy endings? Deadpool and Hulk will join forces and defeat Thanos. Do you prefer dark endings? Deadpool and Hulk fight until they float off into the Sun and get atomized but keep regenerating for eternity.
If you want to see a photo of you and your family from 15 years ago, it will generate slightly better versions of yourself and your wife and maximize how cute your kids look. This is the world we are facing now, where authenticity is meaningless. And while YOU may not prefer it, think about the kids who aren't born yet and will grow up in a world where this exists.
> AI will be generating movies and videos on the fly, either legally or illegally infringing on IP.
> If you want to see a photo of you and your family from 15 years ago, it will generate slightly better versions of yourself and your wife and maximize how cute your kids look.
Sure, but why would any of this media have any emotional significance?
The reason we enjoy cinema is because a talented group of people had an interesting story to tell and brought it to life in a memorable way. Me, or a random person with no filmmaking talent, prompting a tool to generate a particular scene wouldn't be interesting at all. Talented individuals will also rely on this technology, of course, but a demand for human creativity will still exist, possibly even stronger than today, once everyone is exhausted from the flood of shitty Deadpool vs Hulk videos.
The reason we enjoy media of friends and family is because it depicts a moment in the life of our loved ones. A fake image or video of them is of absolutely zero value to everyone.
All of this seems like a neat technology in search of a problem to solve, while actually introducing countless societal problems we haven't even begun to acknowledge, let alone address.
“Still” isn’t the right word. Once Polaroid stopped making the film, closed their factories, and sold or junked their machines, their supplies did the same, and so some of the components stopped being manufactured and available for purchase. What’s sold now as Polaroid film was a reinvention of the same idea. And it’s notably not as good. The dwindling stock of unused true Polaroid film is getting absurdly expensive as a result.
The one factory you refer to was the last one, and was purchased by the Impossible Project (now Polaroid BV). So they were able to save one set of machines. But the actual process of making the film was lost. So it’s an old set of machines making a new but similar product.
People here like to say "Commoditize your Compliment" but to a company the size of google or amazon literally EVERYTHING is your compliment. Too bad no philosopher or political scientist or economist every thought about this stuff before or we might have some kind of plan to make the future less miserable and alienating.
> They were rare, and special, and you'd have a few photos per YEAR to look back on.
Um yeah I don't know. I fully resonate with the _emotional_ appeal here, but realistically I remember going round to people's houses to be shown analog photo albums that nobody was that bothered about seeing, because they didn't really care -- they weren't their photos.
The special photos (a few a year) still exists in digital form.
Some random predictions about what AI image generation tools will do/are doing to art:
1. The narrative/life of the artist becomes a lot more important. The most successful artists are ones that craft a story around their life and art, and don't just create stuff and stop. This will become even more important.
2. Originality matters more than ever. By design, these tools can only copy and mix things that already exist. But they aren't alive, they don't live in the world and have experiences, and they can't create something truly new.
3. Those that bother to learn the actual art skills, and not merely prompting, will increasingly be miles ahead of everyone else. People are lazy, and bothering to put in the time to actually learn stuff will stand out more and more. (Ditto for writing essays and other writing people are doing with AI.)
4. Taste continues to be the single most important thing. The vast, vast majority of AI art out there is...not very good. It's not going to get better, because the lack of taste isn't a technical problem.
5. Art with physical materials will become increasingly popular. That is, stuff that can't be digitized very well: sculpture, installation art, etc. Above all, AI art is uncool, which means it has no real future as a leading art form. This uncoolness will push people away from the screen and towards things that are more material.
These image gen models are getting so advanced and life like that increasingly the general public are being duped into believing AI images are actually real (ex Facebook food images or fake OF models). Don't get me wrong I will enjoy the benefits of using this model for expressing myself better than ever before, but can't help feeling there's something also very insidious about these models too.
It's more likely than not that every single person who uses the internet has viewed an AI image and taken it as real by now.
The obvious ones stand out, but there are so many that are indiscernible without spending lots of time digging through it. Even then there are ones that you can at best guess it's maybe AI gen.
People will continue to retreat into walled, trusted networks where they can have more confidence in the content they see. I can’t even be sure I’m responding to a real person right now.
Maybe not an actual argument for anything, but even before these image models everyone that used the internet had seen a doctored image they believed to be real. There was a reason that 'i can tell by the pixels' was a meme.
At the point now where basically any photo that isn't shared by someone I trust or a reputable news organisation is essentially unverifiable as being real or not
The positive aspect of this advance is that I've basically stopped using social media because of the creeping sense that everything is slop
people only notice when they are prompted to look for AI or scrutinize AI
a lot of these accounts mix old clips with new AI clips
or tag onto something emotional like a fake Epstein file image with your favorite politician, and pointing out its AI has people thinking you’re deflecting because you support the politician
Meanwhile the engagement farmer is completely exempt from scrutiny
Its fascinating how fast and unexpected the direction goes
People already have access to every form of niche pornography they could dare to imagine (for absolutely free!), I really doubt that 'personal taste' is the part that makes OF models their money. They'll be fine.
I think you're under-estimating how much personal taste applies in that industry. Yes, there's a lot of free content but it's often low quality and/or difficult to find for a particular niche. The OF pages, and other paid sites, are curated collections of high quality stuff that can satisfy particular cravings repeatedly with minimal effort.
A big part of it also the feeling of "connection" with the creator via messages and what not, but that too can be replicated (arguably better) by AI. In fact, a lot of those messages are already being generated haha.
I was mostly hinting towards the 'connection' part of it, yes - I think that's really where the money is made more than anything else. That's the part that'll start killing the industry once some company tunes it in.
You can’t really because these powerful models are censored.
You can create lewd pictures with open models but they aren’t nearly as good or easy to use.
Because models can be used to alter existing images, you can use open and commercial models together in content creation workflows (and also the available findings of open models, and the ability to further tube them very specific used, are quite powerful on their own), so the censorship on the commercial models has a lot less effect on what motivated people can produce than you might think.
I still think, even with that, that like most predictions of AI taking over any content industries, the short-term predictions are overblown.
I’ve seen some very high quality NSFW AI video in the last few months. Those models are not far behind and the search and training space for porn is smaller than being able to generate anything
Doesn't Grok allow users to create lewd content or did they roll that back?
Also, I suspect that we'll soon see the same pattern of open weights models following several months behind frontier in every modality not just text.
It's just too easy for other labs to produce synthetic training data from the frontier models and then mimic their behavior. They'll never be as good, but they will certainly be good enough.
I don't think so. Talking to people in this space, I've found out about broad camps. There are probably more:
-They simply aren't into real women/men (so you couldn't even pay a model to do what they're looking for).
-They want to play out fantasies that would be hard to coordinate even if you could pay models (I guess this is more on the video side of things, but a string of photos can put be together into a comic)
-They want to generate imagery that would be illegal
Based on this, I would guess fetish artists are more at risk than OF models. However, AI isn't free. Depending on what you're looking for commissions might be cheaper still for quite a while...
I actually think this was a good thing. Manipulating images incredibly convincingly was already possible but the cost was high (many hours of highly skilled work). So many people assumed that most images they were seeing were "authentic" without much consideration. By making these fake images ubiquitous we are forcing people to quickly learn that they can't believe what they see on the internet and tracking down sources and deciding who you trust is critically important. People have always said that you can't believe what you see on the internet, but unfortunately many people have managed without major issue ignoring this advice. This wave will force them to take that advice to heart by default.
I remember telling my parents at a young age that I couldn't be sure Ronald Reagan was real, because I'd only ever seen him on TV and never in real life, and I knew things on TV could be fake.
That was the beginning of my journey into understanding what proper verification/vetting of a source is. It's been going on for a long time and there are always new things to learn. This should be taught to every child, starting early on.
> By making these fake images ubiquitous we are forcing people to quickly learn that they can't believe what they see on the internet and tracking down sources and deciding who you trust is critically important.
Has this thought process ever worked in real life? I know plenty of seniors who still believe everything that comes out of Facebook, be AI or not, and before that it was the TV, radio, newspapers, etc.
Most people choose to believe, which is why they have a hard time confronting facts.
And not just seniors. I see people of all ages who are perfectly happy to accept artificially generated images and video so long as it plays to their existing biases. My impression is that the majority of humanity is not very skeptical by default, and unwilling to learn.
I feel like there is one or two generations of people who are tech savy and not 100% gullible when it comes to online things. Older and younger generations are both completely lost imho, in a blind test you wouldn't discern a monkey from a human scrolling tiktok &co
Boomers used to tell us to never trust anything online and now they send their life savings to "Brad Pitt"
New generations gets unlimited brain rot delivered through infinite scroll, don't know what a folder is, think everything is "an app" and keep falling for the "technology will free us from work and cure cancer"
There was a sweet spot during which you could grow alongside the internet at a pace that was still manageable and when companies and scammers weren't trying so hard to robbyou from your time money and attention
Jaded, but if I knew there was a possibility of a bunch of incriminating footage of me (images, video, etc.) out there in the pre-AI days, I would do my absolute best to flood the internet with as many related deepfakes (including of myself) as possible.
It stands for "OnlyFans" a website originally for creators to engage directly with their audiences but quickly became a website where women sold explicit pictures of themselves to subscribers.
Oh we’ve seen nothing yet of the chaos that generative ai will unleash on the world, looking at Meta platforms it’s already a multi million dollar industry of selling something or someone that doesn’t exist. And that’s just the benign stuff.
This has been true for a while with digital art, photoshop, etc. Over time, people's BS detectors get tuned. I mean, scrolling by quickly in a feed, yeah, you might miss if an image is "real" or not, but if you see a series of photos side by side of the same subject (like an OF model), you'll figure it out.
Also, using AI will not allow you to better express yourself. To use an analogy, it will not put your self-expression into any better focus, but just apply one of the stock IG filters to it.
> a series of photos side by side of the same subject
Cameras are now "enhancing" photos with AI automatically. The contents of a 'real' photo are increasingly generated. The line is blurring and it's only going to get worse.
It's shitty, but I think it's almost as bad that people are calling everything AI. And I can't even blame them, despite how infuriating it is. It's just as insidious that even mundane things literally ARE AI now. I've seen at least twice now (that I'm aware of) where some cute, harmless, otherwise non-outrageous animal video was hiding a Sora watermark. So the crazy shit is AI. The mundane shit is AI. You wonder why everyone is calling everything AI now. :P
It seems like a low level paranoia - now I find myself double checking that the youtube video I'm watching isn't some AI slop. All the creators use Getty b-rolls and increasingly AI generated stuff so much that it's not a far stretch to have the voice and script all be auto generated too.
I suppose if the AI was able to tell me a true and compelling story, I might not even mind so much. I just don't want to be spoon fed drivel for 15 minutes to find it was all complete made up BS.
I'm building my personal home right now. The AI image models have been a game-changer in designing the look of the house. My architect did an OK job, but the details that Nano Banana added really bring the house up a notch. I just do hundreds of renders from the basic 3D models and I find looks that I like and iterate from there. We are implementing the renders from Nano Banana over our Interior Designers designs. We would not have hired the Interior Designers again after using Nano Banana to do our interiors.
I think part of the issue with architects and designers today is that they use CAD too much. It's easy to design boxes and basic roof lines in CAD. It's harder to put in curves and more craftsman features. Nano Banana's renders have more organic design features IMO.
Our house is looking great and we're very happy how it's going so far with a lot of the thanks to Nano Banana.
Part of the job of interior design is delivering the promised images in … yknow, physical reality? How are you going from nano banana images to actual plans, materials, finishes, products, paint codes, … ?
Interesting. I model interior architecture as "here's $xxxK, make it nice" and they do a bunch of work to figure out what you mean by nice, and a bunch more work to codify your definition of nice into, like, SKUs of sconces and so on. Seems like NB helped you figure out your definition of nice, and your subcontractor had a good designer on staff to execute on that.
not the op, but this is what i did too and bypassed the designer. I iterated with nano banana and gave the result to the company that builds the kitchen. the middleman is gone now.
Same! I redid my backyard entirely and needed ideas. Gemini took a pile of dirt and gave me countless ideas, improved my plans, recommended materials, etc. a designer gave me two out of the box ideas that Gemini didn’t come up with, but it did everything else perfectly. (Designer said, put a patio out in the yard and put your table there, and take your ugly shed and make it the center of attention, since you’ll never succeeed trying to hide it)
Same thing here. I took a picture of some gravel/grass and asked it to show me what it'd look like with tiles. I showed it another part of the property, and asked it to show me what it would look like with a raised lawn. Super impressive to be able to see a cloudy idea in the physical realm like that.
Can you write a bit more about your workflow? I've been thinking about doing the same, but since I'm very non-interior-design minded have struggled to ask the right things.
Like...
What are your inputs to the model? Empty renders of the space, or more fully decorated views/ photos?
Do you have a light harness around this to help you discover the style you like and then stay consistent with it?
Do you find that giving a lot of context around the space you're designing helps (it hasn't in my attempts)?
I started with sketchup to make basic floor plans and house shapes. I had a rough idea of the style of the home. I picked "Transitional English Estate" since the build site is out on a farm that sorta looks like the Cotswolds. I used AI in this process to get rough renders and feedback on the floorplan. I then took that basic floorplan and house dimensions to a Draftsman who did a lot of tweaking to get it up to code and fix issues. I got his plans and took it to a Sketchup Pro on Fivver . They made a detailed sketchup model. I then took that model and took screenshots from different perspectives and tweaked the prompt to get renders I liked. These changes were reencorprated into the blueprints. I did the same thing with the interior. Took screenshots from sketchup and put them into AI and tweaked the prompt. https://imgur.com/a/lSIYTYr
Mine was far more lightweight, but u just uploaded pics of my yard and prompted manually a bunch of times. Sometimes id find reference images to give as context, draw on the image to call out specific areas, etc.
It wouldn’t show me the exact things I wanted, but got close enough that I could test ideas and iterate quickly.
What they've chosen as examples to illustrate the strength of the new model surprises me.
The "cubism" example seems like it would be a closer fit to something like stained glass or something. I don't think the thing really understands what cubism was all about. Cubist painters were trying to free themselves from the confines of a single integral plane of perspective by allowing themselves to show various parts of the image from different viewpoints, different times, different styles, etc.
The division of the image into geometric shapes is just a by-product of that quest, whereas the examples here have made it the sum total of the whole piece.
This feels to me like an example of how LLMs still don't "understand" what the art means, and are just aping its facade.
I had a similar thought before realizing that I'm pretty sure what they were demonstrating wasn't art style, but adherence to correct physical dimensions and construction of the buildings referenced, that was then expressed in an art style (or reasonable facsimile thereof). The before prompts would just conjure a random building out of thin air, the after prompts searched the web for reference material and then used that in image generation.
And actually, the link I saw a bit ago was this [0] which is more in-depth and has a lot more examples + prompts.
What a great thing this didn't exist in the past. We likely wouldn't have had any of the amazing artworks that we have now. Imagine an AI generated Mona Lisa, Nightwatch or Sistine Chapel ceiling because prompting would have been so much cheaper than paying Leonardo, Rembrandt or Michelangelo...
Now extrapolate to all other artforms. Sculpture seems safe, for now, but only barely so.
I hear this often and it's such a strange view of art, like the only thing that matters is scale and speed. It's a perspective so colored by mechanization that it fails to account for other philosophies in art. Think of what, say the Arts and Crafts movement was all about!
That is unlike any artist that I know and I know quite a lot of them. They love their work and the process but they also need to eat. And that included those mentioned above.
Art is about creating something from scratch. This isn't creating anything but cobbling together elements of scraped/stolen content to generate an imitation of prior work.
There is a tremendous amount of "art" that is produced for purely commercial reasons. It employs many thousands of people. These roles are definitely threatened by image generators.
Agree that if you are Artist this is not going to be a big concern to you.
Also, many (I would even venture to say most) of the great artists most people know of earned their bread with intermittent commercial contracts, even rote advertising commissions in the 19th/20th century.
An aspect of art is this pursuit of pushing boundaries within the confines of what is considered good. Would an artist with an infinite image generator be interested in pushing said boundaries? Maybe but they will definitely miss out on getting stuck on an idea and coming up something completely new
A very large fraction of everything we collect as great art marking our history was made on commission. The GGP is showing their complete ignorance of the history of art.
AI isn't a tool for creating art in the same way as a paintbrush or clay. AI is describing a painting you want, then having someone else creating the artwork for you. You aren't doing art in the same way hiring a sculptor isn't doing sculpting.
AI is well on the way to eliminating human made art since the skills to actually make art will be lost to the skill of being able to describe art. You know, since the only thing that matter is reducing costs.
That's true, but you forgot a key piece in this puzzle. The AI can only produce things that already exist. It can combine new things, this is why you can it for a picture of Jesus planting a flag on the Moon. But it only works because Jesus is a concrete concept that already exists in our world. If you ask for a picture of jacquesm planting a flag on the Moon the result will be nonsensical.
I disagree. On the one hand, yeah, On This Day... 1776 is terrible, and it is sad to compare it to Requiem for a Dream or Pi, but even in this age where AI is available, we see tons of critically successful art being made without the use of AI.
I think of it more as that AI will destroy the profit motive in all things, not just art. What we used to think of as talent/skill/experience will no longer be scarce, because anyone will be able to make anything with a prompt. The perceived value will be in wholes built of valueless parts (gestalts).
AI is incompatible with capitalism, but the world isn't ready for that. So we'll have a prolonged period of intense aggregation where more and more value is attributed to systems of control that already have more than they could ever spend, long after the free parts could have provided for basic human needs.
In other words, the masters existed because they had benefactors and a market for their art and inventions. Today there are better artists and inventors toiling in obscurity, but they won't be remembered because they merely make rent. Which gets harder every day, so there's a kind of deification of the working class hero NPC mindset and simultaneously no bandwidth for ingenuity (what we once thought of as divine inspiration).
Terence McKenna predicted this paradox that the future's going to get weirder and weirder back in 1998:
Ironically we live in a time that, overall, is probably better for artists than the world any of those guys grew up in. People have always valued art but not the artists, and many artists through history, including the famous ones, died broke with their works only posthumously attaining value.
These days, through commissions, art is a much more viable profession than it ever was.
It was until ~2021 and it going rapidly downhill. I know some people that are really good at art and they got work on commission from publications, venues and so on. They have seen a significant drop in their bookings and the ones that they do get negotiate hardball because (1) everybody else is desperate too and (2) if they can't get to a deal then AI is now an alternative for the not-so-discerning public which was a fairly large chunk of the usecases.
So you were making book covers? Ah, so sorry. Nobody really cared that it was you.
And you can probably extend that to what's between the covers...
Absolutely not a chance. You see, in the past there was nothing to train it on. And that's sort of the point: the only reason that this AI image generation works at all is because it is lifting on the hard work of the people that had the skills, put the time and the effort in.
I'll just be extremely candid: a lot of people don't give a shit about these art pieces or art in general. It's okay if you do, there is nothing wrong with that, but it's a myopic view that the world would be worse off if we didn't have a portrait of Mona Lisa.
That's not the point, but okay. I'm simply pointing out the fact that there'd still be art, just not those pieces created by those specific people and the world would be just fine. Humanity would've fared okay if Nano Banana was created 500 years ago.
I have Google AI Ultra. Where can I test this? They say its in aistudio, which says its a paid model and I need to setup billing (as if paying for Ultra isnt enough). They say its available in antigravity, but I cant seem to find it there?
I think this tech is cool, from an engineering perspective. I’m trying to figure out if there’s any justification for using it in a business world outside of: “We don’t want to pay an artist.”
You can argue things like code generation are an extension of the engineer wielding it. Image generation just seems like a net negative overall if it’s used at scale.
Edit: By scale, I mean large corporations putting content in front of millions. I understand the appeal for smaller businesses where they probably weren’t going to pay an artist anyway.
We're using voice generation from clipchamp for our promotional videos.
It's an ethical conundrum because we're not paying anyone, but we don't have the money to pay anyone, and it's good enough for our budget.
But we're getting used to the process of changing a part of the text in a few seconds without any artist involved and for 0$.
I guess that soon we'll be able to create voice sample from know personalities for a few $ with prices based on the popularity of the artist and some sanity check based on the artist preferences.
I think this is where I see the benefit for small business. I don’t want to speak for you, but I imagine it’s either “no voice over, we can’t afford it.” or “inexpensive AI voice over to make it more accessible and appealing.”
My thought is the large corps that could afford it, still won’t because it’s a cost they don’t need to incur. For them it’s not even a moral conundrum.
It can also backfire. AI slop ads and marketing material imply cut corners and poor quality products. If a bakery isn’t going to bother touching up its AI slop banner, I don’t expect their cookies to be great either.
FWIW I've never seen a correlation between a small company's website and the quality of their product. Slick website? Maybe they care for their craft, maybe they're all marketing and no content. Website stuck in 1998? Maybe they're sloppy and don't care; maybe they care about their core product, not a slick marketing brochure. I don't see any reason AI would be different in that regard.
That’s true. I think it’s more of a problem of getting someone in the door. Anecdotally going to art festivals I’m much more likely to enter the booth of someone who has handcrafted marketing over the person who has generated marketing.
Basic marketing theory says that spending extra to make your ads signals (term of art) to your potential customers that (1) you are successful, since you can afford it and (2) you are confident your product is superior, since you’re effectively paying people to try it, and expect doing this will generate revenue in return.
Much like the star bellied sneetches, when the quality of some ad format becomes untethered from the cost of production and placement, then marketers will flock to some alternative.
YouTube influencers fill[ed] that niche for a while because content milling SEO spam and fake reviews is a lot more expensive if you present the results in video form with good production values. (Not sure how long that will be true, since AI is getting better at short-term video).
Every local business I deal with is completely lacking on the online side. They might have square POS terminals and all that stuff, but their website either doesn't exist, sucks (not updated in years) or they throw me to Facebook (also sucks).
This is like the last mile for online presence. The average barber out here doesn't use Squarespace, barely knows how to use Facebook and doesn't touch GenAi. But they can still cut your hair pretty well - tech savvyness doesn't have a huge connection to business competence out here.
The amount of lost revenue due to the implication of cut corners needs to be higher than the cost of hiring an artist by enough of a margin that the managers who make the decision start to care, and enough that they're willing to put the effort into hiring an artist.
> It can also backfire. AI slop ads and marketing material imply cut corners and poor quality products. If a bakery isn’t going to bother touching up its AI slop banner, I don’t expect their cookies to be great either.
Average person won't notice, and would not care either way.
This assumes that models won't improve and you'll always be able to tell that it's "AI slop" ... that seems like a bad bet. Five years ago you'd be laughed out of the room for suggesting that a computer could produce images from a natural language prompt and that it'd be accessible to everyone -- not just corporations with deep pockets.
Yeah if/when it becomes indistinguishable I think most people won’t care. That being said I do think someone finding out something is AI generated will be met with poor response. Does that ultimately matter? Probably not in a business world.
I've been using it to replace things that I used to do for personal projects in photoshop/gimp. Remove a background, add a person, put a letter in here that looks like the same crayon as the other letters.
Things that would take me an hour or so the old way takes three minutes with NB.
But I can see this applying to small businesses. Something that some random person would have to spend on hour photoshopping can be done in a few minutes with NB.
All things traditionally done by artists or artist adjacent roles. I can understand at an individual level, say for a solo gamedev who wasn’t going to pay an artist anyway. That’s not at scale though.
Larian Studios most recently was under fire for this [1]. Like I can see a director going “what would X look like?” and then speeding over to the concept artists for a proper rendition if they liked it. I don’t think this is at scale though. Any large business is just going to get rid of the concept artists.
There are many places in general office work where you need some kind of graphics. Slides, reports, info graphics, dataviz. Or academic papers. Some are just illustrations, like a fancy clipart or stock photos, some are drafts for a proper tikz or svg or something that you then redo in draw.io etc. There is much more use for graphics than the use cases where people would ever even consider hiring an actual artist. I've seen good results for iterating on eg model architecture figures quickly between PhD students and supervisors, faster than dragging boxes around and fiddling with tikz. Obviously you don't simply paste the result into the paper. You redo it but it's a good discussion basis. That's for info graphics stuff. But the same can apply to creative stuff, like an event poster, an invitation card to your wedding, storyboards, mood boards, DIY interior design, outfit planning etc etc
Sora is already a flop. People are sick of slop and are getting good at identifying it. Grok is the only player that has any semblance of success in the visual gen market, only because they do the one thing that will always make money.
Same answers you'd use beyond "we don't want to pay an engineer". 100x shorter iteration speed, and the associated workflow (stream of microrevisions and spaghetti throwing), top quartile outputs in many langs/styles/contexts without having to source, hire, and maintain a fleet of separate specialists who can quit when they feel like it.
I'm torn on the scale thing. It definitely seems net negative. But I think we collectively underestimate just how deeply sick the existing thing already is. We're repulsed by image gen at scale because it breaks our expectation that images are at least somewhat based on reality, that they reflect the natural world or what we can really expect from a product, from a company, from the future. But that was already a bad expectation: when's the last time you saw a mcdonalds meal that looked like the advert? Or a sub-30$ amazon product that wasn't a complete piece of shit? Advertisements were already actively malicious fantasies to exploit the way our brains react to pictures. They're just fantasies that required whole teams of humans doing weird bullshit with lighting and photoshop, and I'm not sure that's much better. It was already slop. All the grieving we do about the loss of truth, or the extent to which corps will gleefully spray us with mind-breaking waterfalls of outright lies, I think those ships sailed a long time ago. The disgust, deceit, the rage we feel about genAI slop is the way we should have felt about all commercials since at least the 80s IMO.
> Advertisements were already actively malicious fantasies to exploit the way our brains react to pictures. They're just fantasies that required whole teams of humans doing weird bullshit with lighting and photoshop, and I'm not sure that's much better.
This is a good point. My gut reaction is “well at least someone was paid to do it and can continue to keep society/the economy going ”.
I can see the other side where that’s a soulless job. Not sure what’s worse. Soulless job where your skills apply or even less jobs in a competitive industry.
"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." - Only major problem i could find at a glance is the clasps don't make sense probably, and the drop of water inside the watch on the cog doesn't make sense/cog mangled into tweezers.
"A candid photograph taken from behind an elderly woman sitting alone on a park bench in late autumn. She is gently resting one hand on the empty seat beside her, where a man's weathered flat cap and a folded newspaper sit untouched. Fallen golden leaves cover the path ahead. The low afternoon sun casts her long shadow alongside a second, fainter shadow that almost seems to be there, the suggestion of someone sitting next to her, visible only in the light on the ground. Muted, warm color palette, shallow depth of field on the background trees, photojournalistic style." - I don't know why but it internal errored twice on this one but then got there.
So far it does feel more iterative than an entirely new leap in terms of capabilities, but I haven't run it through the more multimodal aspects such as editing existing images.
That being said, it actually managed the King Louie jump rope test which surprised me.
It still seems to have the same pitfalls as all the other image generation models. I ran it through my test prompt (wary of posting it here, lest it gets trained on) - it still cannot generate something along the lines of "object A, but with feature X from Y", where that combo has never been seen in the training data. I wonder how the "astronaut riding unicorn on the moon" was solved...
EDIT: after significant prompting, it actually solved it. I think it's the first one to do so in my testing.
ChatGPT's image generator has been able to do this since last year. That NBP still can't is baffling. They should at least train it to respond to requests for transparency with a solid colour pink background.
I know. It sounds like a perfect task for AI to do it though (wasn't the whole premise of AI do to mundane things for us), yet they fail to do it, and I need to use an external tool.
Name recognition has big value. People remember what an advancement the first banana was. Nowadays it's no longer so unique, ChatGPT's and Grok's image editors are also strong.
I saw an item for sale on Ali Express's video and I thought "Wow, they hired some really attractive actors to pitch their little gadget." 30 seconds in, I realized they used GenAI. Not because it looked AI, but because the production values looked too high and professional for the item. I would get in on this if you sell anything online.
They can even combine the models, create the presenters with nano banana and then use that as the reference for a video model and paste in your product
I really really want to see how these images are starting to form into videos. The stills are clearly getting better and better, but what about when you need the stills to organically conform to a keyed script?
I'm seeing more and more AI video memes and they are getting really good. Still just bunch of short clips, long shots are not working well enough, but typical Hollywood movies have few second cuts anyway so this is almost good enough to make a marvel fanfic.
the workflow right now would be to take this images, make a sequence of them for key "shots" and send them to an I2V model. LTX-2 is the model the r/stablediffusion folks are playing with right now, but there are a fair few.
It's notable that this model is less advanced that the previous "Pro" model, and also that the Gemini interface is defaulting all requests to "Fast" even if you've previously changed it to Pro.
Interesting they get to rev this with the release of a new flash model. I'm speculating part of the distil pipeline includes the image gen stuff; that seems like internal tooling that will pay dividends over time, if true. New frontier model -> automatic new image model. Even if it's just incremental updates, it's good for both the product cadence and compounding improvements.
I don't have inside info, but everything we've seen about gemini3.0 makes me think they aren't doing distillation for their models. They are likely training different arch/sizes in parallel. Gemini 3.0-flash was better than 3.0-pro on a bunch of tasks. That shouldn't happen with distillation. So my guess is that they are working in parallel, on different arches, and try out stuff on -flash first (since they're smaller and faster to train) and then apply the learnings to -pro training runs. (same thing kinda happened with 2.5-flash that got better upgrades than 2.5-pro at various points last year). Ofc I might be wrong, but that's my guess right now.
I’ve been exploring this exact problem space from the angle of extreme constraints (single-digit MB memory, no cloud assumptions).
I documented what broke first and why here, in case it’s useful:
https://github.com/nullclaw/nullclaw
Did gemini-2.5-flash-image get an upgrade as well? I just got the following, which is fascinating, and not something I've seen before:
> I'm sorry, but I cannot fulfill your request as it contains conflicting instructions. You asked me to include the self-carved markings on the character's right wrist and to show him clutching his electromancy focus, but you also explicitly stated, "Do NOT include any props, weapons, or objects in the character's hands - hands should be empty." This contradiction prevents me from generating the image as requested.
My prompts are automated (e.g. I'm not writing them) and definitely have contained conflicting instructions in the past.
A quick google search on that error doesn't reveal anything either
Google updated it early in AI Studio so I've been experimenting:
- Base pricing for a 1024x1024 image is almost 1.6x what normal Nano Banana is ($0.067 vs. $0.039), however you can now get a 512x512 image for cheaper, or a 4k image for cheaper than four 1k images: https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-fla...
- Thinking is now configurable between `Minimal` and `High` (was not the case with Nano Banana Pro)
- Safety of the model appears to be increased so typical copyright infringing/NSFW content is difficult to generate (it refused to let me generate cartoon characters having taken psychedelics)
- Generation speed is really slow (2-3min per image) but that may be due to load.
- Prompt adherence to my trickier prompts for Nano Banana Pro (https://minimaxir.com/2025/12/nano-banana-pro/) is much worse, unsurprisingly. For example I asked it to make a 5x2 grid with 10 given inputs and it keeps making 4x3 grids with duplicate inputs.
However, I am skeptical with their marquee feature: image search. Anyone who has used Nano Banana Pro for awhile knows that it will strongly overfit on any input images by copy/pasting the subject without changes which is bad for creativity, and I suspect this implementation appears the same.
Additionally I have a test prompt which exploits the January 2025 knowledge cutoff:
Generate a photo of the KPop Demon Hunters performing a concert at Golden Gate Park in their concert outfits.
That still fails even with Grounding with Google Search and Image Search enabled, and more charitable variants of the prompt.
tl;dr the example images (https://deepmind.google/models/gemini-image/flash/) seem similar to Nano Banana Pro which is indeed a big quality improvement but even relative to base Nano Banana it's unclear if it justifies a "2" subtitle especially given the increased cost.
I only needed help of this banana boy twice, it managed to disappoint me each time. The most recent one, I was trying different beard and mustache styles on myself, on a photo I imported from my own Google photo gallery, and it consistently rejected me, claiming I'm a public figure. Nobody ever told me that I look like any famous person, so that's googles own bananination. ChatGPT nicely handled the job.
Would be interesting to see latency vs quality tradeoffs here. Are they targeting consumer-facing generation speed or prioritizing fidelity for professional workflows?
I really wish they opened a version of this up for adult content. They would make immense amounts of money and it could be fenced off behind some sort of paywall where they could verify the age of the person.
Quite telling that you think a technology that merely prevents you from passing off an AI-generated image as not-AI-generated makes the model "worthless."
Good!
That's the point! Whatever amazing use case you had in mind is bad and I'm glad SynthID (apparently) makes it impossible.
Actually no it just makes me use a different model. My uses are not nefarious at all, although it's fine for you to assume so. There are real, legitimate reasons why SynthId is actively harmful that do not involve deceiving or manipulating people at all. SynthId is just a stain on legitimate AI users. People who want to deceive or manipulate are not using Google models anyways. They are going to use a model without safety rails (which is not what I am advocating for per se, just that SynthId is an awful solution).
It actually reeks of Google, since it's a technical solution to a people problem. Google doesn't seem to understand people.
> There are real, legitimate reasons why SynthId is actively harmful that do not involve deceiving or manipulating people at all
I am legitimately curious: can you name some?
> Actually no it just makes me use a different model
Yes, this is a very good thing when "a different model" means "a worse model."
> People who want to deceive or manipulate are not using Google models anyways. They are going to use a model without safety rails
That's totally invalid logic. There are plenty of deception and manipulation use cases that don't run afoul of model safety rails at all. Trivially: Creating fake dating profiles to scam people. Fake product images. Fake insurance claims. Fake blackmail (e.g. of a person and another man/woman at a bar).
My naive question, can image generation make something novel eg. "show me a DNA structure that cures cancer" can it do that, or it has to have seen something before to generate it.
Just think we conceptually know what a brushless motor design looks like and it's just pixels. I guess even if it did produce the image we wouldn't know what it means.
What about it is extreme? It's a concept, like "generate an xray image" eventually hopefully the cure to cancer could be represented as a simple molecule or whatever, I'm not saying I know.
There is currently no knowledge nor progress for what a cure for cancer, and nothing a LLM can draw upon.
You could generate "pregnant Elon Musk with four arms and three eyes doing yoga poses" because the image models have enough visual concepts of each of those individual things, but that specific image is (likely) not in any training dataset.
What I'm saying is if this thing can generate random things (noise) couldn't it make that or new tech like negative mass. Anyway I get it too if we don't know then something we made wouldn't know.
Probably about half of us here remember photos before the cell phone era. They were rare, and special, and you'd have a few photos per YEAR to look back on. The feel of photos back then, was at least 100x stronger than now. They were a special item, could be given as a gift. But once they became freely available that same amount of emotion is now split across many thousands of photos. (not saying this is good or bad, just increased supply reducing value of each item)
With image/art generation the same thing will happen and I can already feel it happening. Things that used to be beautiful or fantastic looking now just feel flat and AI-ish. If claymation scenes can be generated in 1s, and I see a million claymation diagrams a year, then claymation will lose its charm. If I see a million fake Tom Cruise videos, then it oversaturates my desire for desire for all Tom Cruise movies.
What a time to be alive.
Likewise with the sort of resurgence of vinyl, and the obsession over "old" point and shoot digicams.
Also for VHS camcorder footage
I don't think I fully agree. Sure people make so many photo's that they don't have the time or the will to start looking through them all.
You can't just whip out your phone and start scrolling through thousands of photo's with friends. It would get so boring so fast.
But if you put some effort into making a nice little selection of the best photo's, that emotion is 100% still there.
"One of the primary properties of anything with Mana is a feeling of uniqueness. That one has never encountered something like this before, and therefore it is important. The uniqueness of the thing is a property that pulls you in to focus more closely, to attempt to understand more closely why the thing is unique."
I take a hundred photos on a trip, my phone uses AI (not even the new fancy AI, but old 5-10 year old stuff to detect smiling faces and people in frame) to pull out less than a dozen that are worth keeping. Once a month or so I get fed a reminder of some past trip.
This isn't any different than before. The number of photos taken is greater, but the overall number of worthwhile photos from a given trip is about the same.
Scott Alexander has written about it:
https://www.astralcodexten.com/p/the-colors-of-her-coat
(except The Mandalorian, and I can't believe I'm using the word "content" :/)
edit: Totally forgot about Andor & Rogue One sorry, great film and two seasons of top-notch storytelling.
You could ask "how many more movies should we make?" and the answer would be "there is no limit, I always want more"
"I like this thing therefore more of it is obviously better"
I think it takes maturity to say "I like this thing and I don't want more of it."
To each their own, but I think Andor is, by far, the best post-ROTJ output.
And that is the gist of the problem, isn't it? As we approach our forties and beyond, chances are we have lived more than half our lives. So do I really want to spend hours watching something I might hate and might leave a bad taste in my mouth? (See game of thrones season 8 or worse, Westworld the HBO series which I don't even want to know what happened in season 3 or 4). I am sure there are people who will enjoy those but for the average person it is highly unlikely.
I dare say, the feel of photos from back then is much stronger than of the photos taken today. See e.g.:
https://plfoto.com/zdjecie/413363/bez-tytulu?from=autor/beak...
https://plfoto.com/zdjecie/619173/bez-tytulu?from=autor/beak...
Even if there were a million fake Tom Cruise movies I would still like Edge of Tomorrow (even if it had been AI made).
I totally get this, but on the other hand, we have definitely benefited from being able to take more photos. I have some older friends (pushing 80 or so) who sucked at taking photos, so 9 of 10 photos they have from their prime adult years raising their family are blurry to the point of not recognizing the people if you don't already know who they are.
They have great photos from the last 15-20 years, but of course they do, phone cameras are vastly superior to the point-and-shoot cameras from the 70s, and when you reflexively shoot a dozen photos every time you pose for a picture your odds are way better that one will come out clear, everyone looking at the camera, smiling, etc.
My generation generally only had photos from birthdays, holidays, vacations, weddings, graduations and reunions. We looked at the three albums which contained every family photo often and I know them all by heart.
My kid was born in 2009 and our family digital album has nearly 1,000 photos per year of her life. And she's seen virtually none of them and seems to have little interest in ever seeing them since she creates so many of her own photos every day which are ephemeral.
I guess my stick figure hand drawn diagrams, a doc with few mistakes in grammar or spelling would be seen as more worthy to read as long as my ideas are sound. Right? :-)
- https://en.wikipedia.org/wiki/On_Photography
- https://en.wikipedia.org/wiki/Regarding_the_Pain_of_Others
You said it too:
> If I see a million fake Tom Cruise videos, then it oversaturates my desire for desire for all Tom Cruise movies.
The trick of course is to keep yourself from seeing that content.
The other nuance is that as long as real performance remains unique, which so far it is, we can appreciate more what flesh and blood brings to the table. For example, I can appreciate the reality of the people in a picture or a video that is captured by a regular camera; it's AI version lacks that spunk (for now).
Note that iPhone in its default settings is already altering the reality, so AI generation is far right on that slippery axis.
Perhaps, AI and VR would be the reason why our real hangouts would be more appreciated even if they become rare events in the future.
Unimaginable abundance may sound good (it does to me), but scarcity has value too. We might just find put that its value is too important. I just hope that if we do, it’s not too late.
I often call this over-saturation the media equivalent of semantic satiation. Anything commoditized or mass-manufactured isn't going to have emotional appeal.
https://en.wikipedia.org/wiki/Semantic_satiation
Feels like what you described describes that inner personality trait better than I have heard before.
With respect to people with a consumptive addictive personality though - I really feel for them, it's a rough time to be alive.
My parents took way more photos with film than I do with my cellphone camera.
Or a photo of my freshman dorm room during exam season. Subpar image quality, lousy lighting, etc. but so many memories, positive and negative, are elicited by that fleeting glimpse from an era of excitement, boredom, stress, uncertainty, and optimism, not knowing where I was going in life, when I'd ever look back at that snapshot, but deciding on a whim to grab it during a break from cramming topics now long forgotten.
But I roll my eyes at the idea of injecting my likeness into a short clip depicting random over-the-top action sequences, no matter how photorealistic, because I've never wanted to do that.
I have a photo of a friend I’ve since drifted from, it’s her in her army fatigues after basic. She was had just went through a horrible divorce and that was a shining achievement for her.
The story behind the photo is what makes it matter.
Not the format.
However I will agree AI is a poor substitute. You’ll have people creating AI photos of a fake marriage and fake pets in a big fake house, while they sleep in a bunk bed in a halfway house.
But I think it's more because of growing up with it have now pc, money. Not because people rediscover pixel games.
https://xkcd.com/915/
Well, world changes dramatically. Connected old folks are like neanderthals in big city now. However not connected are still living locally in their minds. Youngsters are just accepting the world as it is. Nobody is amused by computers and cameras anymore. (at least in developed areas)
And with all that the worst is yet to come...
In my experience, a digital photo of myself and my partner used as the lock screen of my phone has the same emotional weight as the one sitting on my desk (which is a print out of a digital photo). Additionally, printing out a photo of you and your partner and gifting it to them has the same weight as going through childhood photo. A scrapbook of a recent vacation filled with printed digital photos evokes memories just as vividly as one from the 80s. On the flip side of this, a photo in a box in the basement has the same weight as a photo sitting in the cloud.
I'll offer you some more food for thought: are Aardman Animations films charming because they use claymation? Or is it the creative force of people like Nick Park and Peter Lord?
No, ALL CONTENT is asymptotically approaching 0. This includes photos, videos, stories, app features, even code. Code is now worthless. If you want better security from generated code, wait 2 months and it will be better. If you want a photo, you just prompt and it will generate it on the fly.
AI will be generating movies and videos on the fly, either legally or illegally infringing on IP. Do you want a movie where Deadpool fights The Hulk? Easy. And just like how ad technology knows your preferences, each movie will be individually tailored to YOUR liking just so that your engagement will increase. Do you like happy endings? Deadpool and Hulk will join forces and defeat Thanos. Do you prefer dark endings? Deadpool and Hulk fight until they float off into the Sun and get atomized but keep regenerating for eternity.
If you want to see a photo of you and your family from 15 years ago, it will generate slightly better versions of yourself and your wife and maximize how cute your kids look. This is the world we are facing now, where authenticity is meaningless. And while YOU may not prefer it, think about the kids who aren't born yet and will grow up in a world where this exists.
> If you want to see a photo of you and your family from 15 years ago, it will generate slightly better versions of yourself and your wife and maximize how cute your kids look.
Sure, but why would any of this media have any emotional significance?
The reason we enjoy cinema is because a talented group of people had an interesting story to tell and brought it to life in a memorable way. Me, or a random person with no filmmaking talent, prompting a tool to generate a particular scene wouldn't be interesting at all. Talented individuals will also rely on this technology, of course, but a demand for human creativity will still exist, possibly even stronger than today, once everyone is exhausted from the flood of shitty Deadpool vs Hulk videos.
The reason we enjoy media of friends and family is because it depicts a moment in the life of our loved ones. A fake image or video of them is of absolutely zero value to everyone.
All of this seems like a neat technology in search of a problem to solve, while actually introducing countless societal problems we haven't even begun to acknowledge, let alone address.
The one factory you refer to was the last one, and was purchased by the Impossible Project (now Polaroid BV). So they were able to save one set of machines. But the actual process of making the film was lost. So it’s an old set of machines making a new but similar product.
I see what you did there and know exactly the political economist you are talking about, but if you Speak His Name, the shrieking hordes descend.
Um yeah I don't know. I fully resonate with the _emotional_ appeal here, but realistically I remember going round to people's houses to be shown analog photo albums that nobody was that bothered about seeing, because they didn't really care -- they weren't their photos.
The special photos (a few a year) still exists in digital form.
1. The narrative/life of the artist becomes a lot more important. The most successful artists are ones that craft a story around their life and art, and don't just create stuff and stop. This will become even more important.
2. Originality matters more than ever. By design, these tools can only copy and mix things that already exist. But they aren't alive, they don't live in the world and have experiences, and they can't create something truly new.
3. Those that bother to learn the actual art skills, and not merely prompting, will increasingly be miles ahead of everyone else. People are lazy, and bothering to put in the time to actually learn stuff will stand out more and more. (Ditto for writing essays and other writing people are doing with AI.)
4. Taste continues to be the single most important thing. The vast, vast majority of AI art out there is...not very good. It's not going to get better, because the lack of taste isn't a technical problem.
5. Art with physical materials will become increasingly popular. That is, stuff that can't be digitized very well: sculpture, installation art, etc. Above all, AI art is uncool, which means it has no real future as a leading art form. This uncoolness will push people away from the screen and towards things that are more material.
The obvious ones stand out, but there are so many that are indiscernible without spending lots of time digging through it. Even then there are ones that you can at best guess it's maybe AI gen.
The positive aspect of this advance is that I've basically stopped using social media because of the creeping sense that everything is slop
a lot of these accounts mix old clips with new AI clips
or tag onto something emotional like a fake Epstein file image with your favorite politician, and pointing out its AI has people thinking you’re deflecting because you support the politician
Meanwhile the engagement farmer is completely exempt from scrutiny
Its fascinating how fast and unexpected the direction goes
Soon many real OF models will be out of job when everyone will be able to produce content to their personal taste from a few prompts.
A big part of it also the feeling of "connection" with the creator via messages and what not, but that too can be replicated (arguably better) by AI. In fact, a lot of those messages are already being generated haha.
net positive to society
I still think, even with that, that like most predictions of AI taking over any content industries, the short-term predictions are overblown.
Also, I suspect that we'll soon see the same pattern of open weights models following several months behind frontier in every modality not just text.
It's just too easy for other labs to produce synthetic training data from the frontier models and then mimic their behavior. They'll never be as good, but they will certainly be good enough.
-They simply aren't into real women/men (so you couldn't even pay a model to do what they're looking for).
-They want to play out fantasies that would be hard to coordinate even if you could pay models (I guess this is more on the video side of things, but a string of photos can put be together into a comic)
-They want to generate imagery that would be illegal
Based on this, I would guess fetish artists are more at risk than OF models. However, AI isn't free. Depending on what you're looking for commissions might be cheaper still for quite a while...
That was the beginning of my journey into understanding what proper verification/vetting of a source is. It's been going on for a long time and there are always new things to learn. This should be taught to every child, starting early on.
Has this thought process ever worked in real life? I know plenty of seniors who still believe everything that comes out of Facebook, be AI or not, and before that it was the TV, radio, newspapers, etc.
Most people choose to believe, which is why they have a hard time confronting facts.
And not just seniors. I see people of all ages who are perfectly happy to accept artificially generated images and video so long as it plays to their existing biases. My impression is that the majority of humanity is not very skeptical by default, and unwilling to learn.
New generations gets unlimited brain rot delivered through infinite scroll, don't know what a folder is, think everything is "an app" and keep falling for the "technology will free us from work and cure cancer"
There was a sweet spot during which you could grow alongside the internet at a pace that was still manageable and when companies and scammers weren't trying so hard to robbyou from your time money and attention
What in the world is a fake OF model?
Does "OF" stand for "of food"?
Also, using AI will not allow you to better express yourself. To use an analogy, it will not put your self-expression into any better focus, but just apply one of the stock IG filters to it.
Cameras are now "enhancing" photos with AI automatically. The contents of a 'real' photo are increasingly generated. The line is blurring and it's only going to get worse.
I suppose if the AI was able to tell me a true and compelling story, I might not even mind so much. I just don't want to be spoon fed drivel for 15 minutes to find it was all complete made up BS.
I think part of the issue with architects and designers today is that they use CAD too much. It's easy to design boxes and basic roof lines in CAD. It's harder to put in curves and more craftsman features. Nano Banana's renders have more organic design features IMO.
Our house is looking great and we're very happy how it's going so far with a lot of the thanks to Nano Banana.
Like... What are your inputs to the model? Empty renders of the space, or more fully decorated views/ photos? Do you have a light harness around this to help you discover the style you like and then stay consistent with it?
Do you find that giving a lot of context around the space you're designing helps (it hasn't in my attempts)?
It wouldn’t show me the exact things I wanted, but got close enough that I could test ideas and iterate quickly.
The "cubism" example seems like it would be a closer fit to something like stained glass or something. I don't think the thing really understands what cubism was all about. Cubist painters were trying to free themselves from the confines of a single integral plane of perspective by allowing themselves to show various parts of the image from different viewpoints, different times, different styles, etc.
The division of the image into geometric shapes is just a by-product of that quest, whereas the examples here have made it the sum total of the whole piece.
This feels to me like an example of how LLMs still don't "understand" what the art means, and are just aping its facade.
And actually, the link I saw a bit ago was this [0] which is more in-depth and has a lot more examples + prompts.
[0] - https://deepmind.google/models/gemini-image/flash/
Now extrapolate to all other artforms. Sculpture seems safe, for now, but only barely so.
Artists aren't doing it for the money. With advanced tools like these they wouldve iterated much faster and created much grander designs.
Art is about pushing limits of what's possible and AI just raises those limits.
That is unlike any artist that I know and I know quite a lot of them. They love their work and the process but they also need to eat. And that included those mentioned above.
Agree that if you are Artist this is not going to be a big concern to you.
That's engineering, if that.
Art isn't, and has never been about that.
The only thing AI art makes possible that wasn't possible before is the scale of slop
AI is well on the way to eliminating human made art since the skills to actually make art will be lost to the skill of being able to describe art. You know, since the only thing that matter is reducing costs.
AI is incompatible with capitalism, but the world isn't ready for that. So we'll have a prolonged period of intense aggregation where more and more value is attributed to systems of control that already have more than they could ever spend, long after the free parts could have provided for basic human needs.
In other words, the masters existed because they had benefactors and a market for their art and inventions. Today there are better artists and inventors toiling in obscurity, but they won't be remembered because they merely make rent. Which gets harder every day, so there's a kind of deification of the working class hero NPC mindset and simultaneously no bandwidth for ingenuity (what we once thought of as divine inspiration).
Terence McKenna predicted this paradox that the future's going to get weirder and weirder back in 1998:
https://www.youtube.com/shorts/KZ2ZtTsHqO0
These days, through commissions, art is a much more viable profession than it ever was.
So you were making book covers? Ah, so sorry. Nobody really cared that it was you.
And you can probably extend that to what's between the covers...
People who actually care about art, if given a chance to see it, yes.
Of course, it being done by Davinci is not some random fact about the painting - as if a painting is a mere artifact.
You can argue things like code generation are an extension of the engineer wielding it. Image generation just seems like a net negative overall if it’s used at scale.
Edit: By scale, I mean large corporations putting content in front of millions. I understand the appeal for smaller businesses where they probably weren’t going to pay an artist anyway.
When a company sends an email or docu-sign, they don’t want to pay a courier.
Technology supplements or replaces jobs, often reducing costs. This is no different.
It's an ethical conundrum because we're not paying anyone, but we don't have the money to pay anyone, and it's good enough for our budget.
But we're getting used to the process of changing a part of the text in a few seconds without any artist involved and for 0$.
I guess that soon we'll be able to create voice sample from know personalities for a few $ with prices based on the popularity of the artist and some sanity check based on the artist preferences.
My thought is the large corps that could afford it, still won’t because it’s a cost they don’t need to incur. For them it’s not even a moral conundrum.
Much like the star bellied sneetches, when the quality of some ad format becomes untethered from the cost of production and placement, then marketers will flock to some alternative.
YouTube influencers fill[ed] that niche for a while because content milling SEO spam and fake reviews is a lot more expensive if you present the results in video form with good production values. (Not sure how long that will be true, since AI is getting better at short-term video).
This is like the last mile for online presence. The average barber out here doesn't use Squarespace, barely knows how to use Facebook and doesn't touch GenAi. But they can still cut your hair pretty well - tech savvyness doesn't have a huge connection to business competence out here.
Average person won't notice, and would not care either way.
Things that would take me an hour or so the old way takes three minutes with NB.
But I can see this applying to small businesses. Something that some random person would have to spend on hour photoshopping can be done in a few minutes with NB.
Larian Studios most recently was under fire for this [1]. Like I can see a director going “what would X look like?” and then speeding over to the concept artists for a proper rendition if they liked it. I don’t think this is at scale though. Any large business is just going to get rid of the concept artists.
[1]: https://www.pcgamer.com/games/rpg/baldurs-gate-3-developer-l...
I'm torn on the scale thing. It definitely seems net negative. But I think we collectively underestimate just how deeply sick the existing thing already is. We're repulsed by image gen at scale because it breaks our expectation that images are at least somewhat based on reality, that they reflect the natural world or what we can really expect from a product, from a company, from the future. But that was already a bad expectation: when's the last time you saw a mcdonalds meal that looked like the advert? Or a sub-30$ amazon product that wasn't a complete piece of shit? Advertisements were already actively malicious fantasies to exploit the way our brains react to pictures. They're just fantasies that required whole teams of humans doing weird bullshit with lighting and photoshop, and I'm not sure that's much better. It was already slop. All the grieving we do about the loss of truth, or the extent to which corps will gleefully spray us with mind-breaking waterfalls of outright lies, I think those ships sailed a long time ago. The disgust, deceit, the rage we feel about genAI slop is the way we should have felt about all commercials since at least the 80s IMO.
This is a good point. My gut reaction is “well at least someone was paid to do it and can continue to keep society/the economy going ”.
I can see the other side where that’s a soulless job. Not sure what’s worse. Soulless job where your skills apply or even less jobs in a competitive industry.
You could easily say the same about anytime computers or robots or automation have taken a job away. We’ve been going down this road for decades.
Two what I could consider "interesting prompts" for image gen testing. Did pretty well.
https://s.h4x.club/KouXmB1O
"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." - Only major problem i could find at a glance is the clasps don't make sense probably, and the drop of water inside the watch on the cog doesn't make sense/cog mangled into tweezers.
https://s.h4x.club/7KuGJmNw
"A candid photograph taken from behind an elderly woman sitting alone on a park bench in late autumn. She is gently resting one hand on the empty seat beside her, where a man's weathered flat cap and a folded newspaper sit untouched. Fallen golden leaves cover the path ahead. The low afternoon sun casts her long shadow alongside a second, fainter shadow that almost seems to be there, the suggestion of someone sitting next to her, visible only in the light on the ground. Muted, warm color palette, shallow depth of field on the background trees, photojournalistic style." - I don't know why but it internal errored twice on this one but then got there.
Here's some of my captions that tend to trip up even state-of-the-art models.
https://mordenstar.com/other/nb-pro-2-tests
So far it does feel more iterative than an entirely new leap in terms of capabilities, but I haven't run it through the more multimodal aspects such as editing existing images.
That being said, it actually managed the King Louie jump rope test which surprised me.
EDIT: after significant prompting, it actually solved it. I think it's the first one to do so in my testing.
And not a (botched) fake white/gray grid background that is commonly used to visualize transparency?
Nano Banana was technically impressive the first time, but after Seedance it's not really. It's all just an internet pollution machine anyway.
I guess even Google is running out of GPUs.
The banana models (image) are a different than the mainline models, but the confusingly leverage the same naming scheme.
I don't have inside info, but everything we've seen about gemini3.0 makes me think they aren't doing distillation for their models. They are likely training different arch/sizes in parallel. Gemini 3.0-flash was better than 3.0-pro on a bunch of tasks. That shouldn't happen with distillation. So my guess is that they are working in parallel, on different arches, and try out stuff on -flash first (since they're smaller and faster to train) and then apply the learnings to -pro training runs. (same thing kinda happened with 2.5-flash that got better upgrades than 2.5-pro at various points last year). Ofc I might be wrong, but that's my guess right now.
Afaik the only real competitor is Riverflow V2.
we have user-preference rankings that put NB2 on top: https://arena.ai/leaderboard/text-to-image
- https://hunyuan.tencent.com/image/en?tabIndex=0
- https://seed.bytedance.com/en/seedream5_0_lite
someone shared benchmarks that differ my experience tho, so I may be biased
> I'm sorry, but I cannot fulfill your request as it contains conflicting instructions. You asked me to include the self-carved markings on the character's right wrist and to show him clutching his electromancy focus, but you also explicitly stated, "Do NOT include any props, weapons, or objects in the character's hands - hands should be empty." This contradiction prevents me from generating the image as requested.
My prompts are automated (e.g. I'm not writing them) and definitely have contained conflicting instructions in the past.
A quick google search on that error doesn't reveal anything either
- Base pricing for a 1024x1024 image is almost 1.6x what normal Nano Banana is ($0.067 vs. $0.039), however you can now get a 512x512 image for cheaper, or a 4k image for cheaper than four 1k images: https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-fla...
- Thinking is now configurable between `Minimal` and `High` (was not the case with Nano Banana Pro)
- Safety of the model appears to be increased so typical copyright infringing/NSFW content is difficult to generate (it refused to let me generate cartoon characters having taken psychedelics)
- Generation speed is really slow (2-3min per image) but that may be due to load.
- Prompt adherence to my trickier prompts for Nano Banana Pro (https://minimaxir.com/2025/12/nano-banana-pro/) is much worse, unsurprisingly. For example I asked it to make a 5x2 grid with 10 given inputs and it keeps making 4x3 grids with duplicate inputs.
However, I am skeptical with their marquee feature: image search. Anyone who has used Nano Banana Pro for awhile knows that it will strongly overfit on any input images by copy/pasting the subject without changes which is bad for creativity, and I suspect this implementation appears the same.
Additionally I have a test prompt which exploits the January 2025 knowledge cutoff:
That still fails even with Grounding with Google Search and Image Search enabled, and more charitable variants of the prompt.tl;dr the example images (https://deepmind.google/models/gemini-image/flash/) seem similar to Nano Banana Pro which is indeed a big quality improvement but even relative to base Nano Banana it's unclear if it justifies a "2" subtitle especially given the increased cost.
Original Nano Banana (gemini-2.5-flash-image): $0.039 per image (up to 1024×1024px)
Nano Banana 2 (gemini-3.1-flash-image-preview): $0.045 per 512px image $0.067 per 1K (1024×1024) image $0.101 per 2K image $0.151 per 4K image
Nano Banana Pro (gemini-3-pro-image-preview): $0.134 per 1K/2K image $0.240 per 4K image
So at the most common 1K resolution, NB2 is ~72% more expensive than the original NB ($0.067 vs $0.039), but still half the price of NB Pro ($0.134).
source: https://deepmind.google/models/model-cards/gemini-3-1-flash-...
Previous nano banana frequently made speech attribution errors, the new one seems a lot more consistent.
Good!
That's the point! Whatever amazing use case you had in mind is bad and I'm glad SynthID (apparently) makes it impossible.
It actually reeks of Google, since it's a technical solution to a people problem. Google doesn't seem to understand people.
I am legitimately curious: can you name some?
> Actually no it just makes me use a different model
Yes, this is a very good thing when "a different model" means "a worse model."
> People who want to deceive or manipulate are not using Google models anyways. They are going to use a model without safety rails
That's totally invalid logic. There are plenty of deception and manipulation use cases that don't run afoul of model safety rails at all. Trivially: Creating fake dating profiles to scam people. Fake product images. Fake insurance claims. Fake blackmail (e.g. of a person and another man/woman at a bar).
Just think we conceptually know what a brushless motor design looks like and it's just pixels. I guess even if it did produce the image we wouldn't know what it means.
You could generate "pregnant Elon Musk with four arms and three eyes doing yoga poses" because the image models have enough visual concepts of each of those individual things, but that specific image is (likely) not in any training dataset.