pigpop
Joined 1 year ago
Joined 1 year ago
This is a different argument, going into it would muddy the waters. It would devolve into a debate about how much and what type of input and individual perception. It's also been rehashed a million times since Duchamp thought to put a mass produced urinal on display as a fountain.
> most outputs being mass produced are of a substantially lower quality than people (and what is possible)
Different purposes and mass production does not eliminate the market for artisanal work, it replaces only the limited batch work done by hand previously.
> A problem is people are being tricked into it...
God help anyone who learns how the sausage is made.
> "if you can view this for free, it isn't meant to be sold. If it is sold, I deserve to have my time compensated"
This is mostly a matter for the courts but as long as the works are not being reproduced in whole unattributed or in violation of whatever license they held then it will mostly be allowed. If you look for it, you'll notice that artists "borrow" from each other constantly with no attribution and no payment to the originator. All but the grossest plagiarism goes entirely unpunished because everyone realizes that no one can stand alone. Is it different now that it is being made available as a service? Yes, there are now more legal ramifications due to an audit trail of scraping and purchases combined with the much larger output that can be measured and compared. Does it destroy the commons? No, people will use the outputs in their own work which will be published and become part of the commons just like any new style or media.
> that appears to be a "problem"
It's a solved problem. Synthetic training data is a valuable addition now. It requires a way to validate or rank it but that's not any worse than cleaning and filtering human data.
> conspiratorial thinking
An excellent smokescreen but we've been living in a soup of mass media propaganda for over a hundred years now so there's no denying that influence campaigns exist. Denying that humans act in coordinated ways to influence the opinion of others is absurd when you can get a degree in it, have it as a job title and build a trillion dollar industry on it.
If everyone hates AI output and refuses to buy anything made with it then in what way is it a threat to people who don't use AI in their work?
Are these talking points perhaps crafted to benefit a small group of people who will lose the edge they currently have to a larger number of people enabled by these new tools?
Yes, you can create garbage with AI tools. You can create garbage using Blender, Unreal Engine, Unity, GIMP, Ableton, iMovie and Word as well and there are mountains of garbage created with those tools that nobody pays for or likes. If you have some talent and put the same effort into creating art with AI that you do with a digital paint program then it won't be garbage. AI isn't a magic wand that you can wave around and get perfect results, it can save you time just like using an image editor saves you a lot of time compared to drawing and painting by hand but it won't do all of the work for you. It's a tool and a poor craftsman that blames his tools for his failure.
My point exactly that big tech was loved for a while and then hated and then loved again and hated again. Have they truly changed that much that often or is it your perception that has changed?
Tech companies were never the "good guys" any more than they are the "bad guys" now. Those are just colored filters thrown in front of the lime light to shift your perception. As soon as tech or AI works to their benefit then suddenly they'll be the good guys again and no one will care they were the bad guys before. People just go where the algo leads them, believe what their influencers believe, think what their peers think.
They wouldn't be the most selective schools if they expanded access to everyone. They are performing their function and I would think the drop in admission rates would be due to the increase in number of applicants unless those numbers are already adjusted for that.
The irony.
Currently, if you want better results, you have to prime the model with what I like to think of as a Context Mood Board consisting of material that you select to express a gestalt. Turning reasoning off also helps since it forces it to rely on what's already in the context.
This is a lot of manual work to set up but you can save it as something that gets loaded when needed. For open weight models you can create a LoRA based on a dataset that represents what you consider to be good taste.
The point is that it is possible to do even though it's currently not available from the major providers. They're more focused on maintaining their lead in capability, taste takes a backseat. At some point it will become more important and then we'll probably see either a curated selection of styles to choose from or they'll just keep them hidden and automatically route you based on your request and your user profile.
If you want a preview of the difference this can make try out some image generation models in ComfyUI and compare the results from the same prompt using the original base models versus the fine tunes and LoRAs created by the community. It's incredible what a difference it can make in the output and what you're seeing is the design sense or artistic taste of the person that did the fine tuning and the artists whose material was selected as input.
Looking even further ahead, there's a huge amount of undiscovered talent out there in people who lack the technical ability to produce art but have a very good sense of taste. Somehow getting access to their preferences would advance things even more. There's still a lot of training to be done so we're hardly at the limit of what is possible for instilling taste or artistic sense in LLMs.