You do realize web scraping has gotten very cheap at scale and easy now too. It's an after thought for me, I'm more concerned with the economics of training, it can't be cheap
https://bigscience.notion.site/10743770aae24ff3bdc1b938cf454...
And this is just for a text-only scrape.
For example, in a generative model I'm working on, I have a dataset consisting of ~5M images just blindly scraped from a website. After filtering, this drops down to ~500k images, yet a model trained on that performs worse than one trained on a set of 30k curated images (picked based on a manually evaluated list of "known good" artists), where filtering brings it down to ~18k images. The larger dataset, while containing more information, also contains more errors, many of them pretty hard to filter out.
- lots of people are stimulated by it
- lots of people want DALL-E-2 for porn
- and lots of people are willing to work towards that common goal
The beauty of this is that people are just going to keep coming and coming to it.
Like I'm trying to be mature and serious about this. What's it going to take?
- Community responsible for scraping dataset, generating image dataset from moving pictures, upscaling said dataset.
- Crowdsourced labeling, cleaning, normalizing dataset
- Crowdfunding to train, host, and publish.
All of the above are not easy by any means but its much more achievable than trying to build a generic DALL-E that can create anything.
Really my point is that the scope of the dataset has narrower range in terms of desired output where as DALL-E-2 casts a far wider net.
Specialization is key here.
I guess the primary concern with a porn model would be the ethics of it, which might turn off any company from helping out on training resources (for example, Google's TPU Research Cloud requires you to follow their code of ethics on AI, which would be very difficult to do with a topic as sensitive to people as porn).
There are several potential ways:
The training data may come from unethical sources or processes.
The result may be degrading or demeaning to people who share characteristics with the virtual people depicted (gender, race, etc.)
Increasing the supply may increase the demand, exacerbating the previous issue.
The technology could be trivially repurposed to produce content that is entirely illegal.
That is an oft-overlooked point. In this instance, I think many forget how exploitative pornography actually is. And sex work in general.
We're seeing a lot of garden variety capitalist exploitation happening with ordinary mainstream training data production and labeling work, so I would expect anything adult-adjacent to be correspondingly worse, even though it doesn't have to be.
ಠ_ಠ
hint: they are all about one thing and there are a lot of eager volunteers to help on those websites. It would be easy to "normalize/clean/classify" because the pictures would have a consistent theme, thus reducing the amount of parameters.
We are not trying to generate elephants getting railed on a SpaceX rocket flying in oil painting style (although I'm sure theres people into that and its not my place to judge), we are just trying to remove the human cost out of this necessary evil.
I can't believe nobody is investing in "DALL-E-2-4-PORN". This sounds like an X amount of money thrown at a hugely sticky product that can be iterated (with the current trend in hardware) to the point where it literally generates billions of dollars in revenues for ages to come (no pun intended).
Do you prefer known porn actress over non known ones?
I would say that I might know a handful of names but search for them rarly.
They involve real woman (ethical concerns).
They might not show exactly what you are looking for.
Like the good scene is to short or the quality is too bad or there is only one video.
Also variation.
ML porn should be a good thing. Only thing Im not sure is about people creating pedo porn. But even that is better than real pedo porn :|
And tags.
Insta has tags.
Plenty of others have nsfw and tags