AI art, explained

Thanks for watching! The video above is a primer on how we got here, how this technology works, and some of the implications. And for an extended discussion about what this means for human artists, designers, and illustrators, check out this bonus video: https://youtu.be/sFBfrZ-N3G4

This is so scary, it’s only a matter of time before AI can generate videos and then whole movies with complete soundtracks, characters and a plot

This is the best explanation of the tech I’ve seen so far. Would love to see a follow up video on this for animations. I believe this is a game changer for music videos.

As an ML researcher, this was the best 'public facing' explanation of latent space I've ever seen. Good job Vox team.

Seeing AI unfold in real time over the years is so satisfying and also a bit terrifying.

As a researcher working on generative models, this is one of the best, clean and concise explanations for the tech! Kudos to the Vox team! :')

As a digital artist and graphic designer, this is ridiculously fascinating and scary🤯 I've been watching every videos of Dall-E on the internet...

Reminds me of that one scene in I, Robot: Will Smith: "Can a robot paint a masterpiece?" Robot: "Can you ?" At this point it can now be rewritten as: Will Smith: "Can a robot paint a masterpiece?" Robot: " Yes. Can you ?"

I feel discouraged from studying art. There's a feeling of satisfaction that comes from conquering something so difficult, from sitting back and seeing the fruits of my efforts grow. I'm afraid of becoming obsolete in a way that's difficult to articulate.

Joss is amazing. This is truly the pinnacle of tech journalism.

The quality with which Vox is able to simplify hard things is amazing

As an artist this scares and impresses me. Its scaring me cause of even the artistic field being overrun by ai in the future but impresses me cause it is just, impressive

I used to daydream about computers being able to create a virtual reality version of a book. Looks like that’s on the way. It will probably be even better than that, with the simulation being customized for each user’s specific interests. The future is nuts.

you can’t just hit me with the fact that 2015 was 7 years ago so early in the morning

I'm doing a research project in machine learning, and I've seen various Youtubers getting things wrong in their explanation of AI. But you guys completely nailed the concept of latent space. I guess you left out how exactly the encoder and decoder works, but this video is targeted at the general public, so fair enough.

🎯 Key Takeaways for quick navigation: 00:00 🤖 Introduction to AI art and image captioning - AI development in image captioning. - The curiosity to generate images from text prompts. - Early challenges and experiments in generating novel scenes. 01:04 🎨 Advancements in AI-generated art - Progress in AI-generated art from 2015 to 2021. - The introduction of DALL-E and DALLE-2 by OpenAI. - The emergence of open-source developers creating text-to-image generators. 04:14 💬 Prompt engineering and creative interaction with AI models - The concept of "prompt engineering" in communicating with AI models. - Experimenting with various prompts and creative possibilities. - The ease of accessibility and use of AI-generated art tools. 06:24 🧠 Understanding how AI models learn and create images - Explaining how deep learning models learn and recognize images. - Introduction to the latent space and its role in generating images. - The generative process called diffusion in creating images from latent space. 08:27 🌌 Exploring the multidimensional latent space - The complexity of multidimensional latent spaces. - How latent space captures different variables and concepts. - The idea that any point in latent space represents a recipe for an image. 10:06 🎨 Artistic implications and ethical considerations - How AI can mimic artists' styles through prompts. - The need for transparency in disclosing the use of AI in art creation. - Copyright and ethical concerns related to AI-generated content. 11:36 🌐 Societal impact and biases in AI-generated content - Recognizing biases and limitations in AI models. - The diversity and representation issues in AI datasets. - The uncharted territory of AI-generated content's impact on society. 12:36 🚀 The transformative potential of AI in creativity - The broader implications of AI in human creativity. - The removal of barriers between ideas and visual content. - The unpredictable long-term consequences of AI in culture and communication. Made with

As musician I'm excited and afraid in a same time knowing this will certainly come too for my art. What a time to be alive!

I remember a teacher from my childhood once she said to me "your drawings will get you knowhere, they will save you from nothing", while embarassing me in front of everyone and ripping appart my drawing, and now, having battled heavy depression for many years and trying my best for working in the future in something that has to do with drawings or illustrations... AI came in, "learning" so extremely fast that in a handful of years they will totally outclass artists I mean, ofc I can draw just as a hobby, but a hobby would not give me enough money to pay my bills if the ones who would pay me look for a faster and cheaper option, I guess my teacher (and my father) were right all along

Challenge, having done a Computer Ethics and Law Course were we covered some of the topic, is as follows When looking at sites like Facebook, Twitter, DeviantArt, or any other website that will host art content is that the individual artist or creator is not paying for the server space. Server space being what the buzz word is of "Cloud" which is owned by another company or individual. As such, the issue being that Meta (Formerly Facebook), and others own what ever a person posts to the social media platforms as it is on the company servers...that does not mean the creator does not have copyright to the creation, but that is the sticky situation when artists post works online period and can be found with a simple google search...the most similar form to understand is owning a physical copy of a movie, the person does not really own the movie and is not legally allowed to alter the movie from what the creator intended (though this too is being fought in the courts with companies like VidAngel trying to make even rated R films family friendly through editing like a non-movie channel can through a cable or satellite tv service can...through contracts that allow such actions). As the professor instructed, in the Computer Ethics and Law Class, to help protect images from being used for AI or even just being used without consent of the original creator...use Watermarks all over the image, as the AI and Machine Learning will not be able to get passed all of the watermarks to generate the clear images...also as stated in the class, instead of posting to Social Media on server space you are not in control of (as Facebook and them own it) everyone has three viable options with the last one being the worst of the three to show art works or any other creations that are the best protections from a simple google search that is helping to feed the AI generation of projects. Option 1: Host a personal server with your own personal images, and pay for a domain to show images you want, and due to SEO (Search Engine Optimization) understand you still will need to use watermarks on the posted images and then have a link or email where people can contact to ask for proper permission to use the art created without watermarks, but make sure to get a signed agreement that the person will not use it for personal monetary gain (similar to an NDA) Option 2: As most people can not get the licensing to host a personal server that is publicly available go through a website hosting company to host your personal website (NOT for FREE), pay for a URL, and follow the rest of option 1 Option 3: Use Social Media like Facebook, DeviantART, Twitter, etc...but make sure you keep original copies of the work...and only post once a large portion of the work has water markings to make it much harder for the work to be used by AI and ML when it comes to AI art.

We humans derive meaning, satisfaction, hope and even therapy from conjuring up our own images. There is so much mystery within the frontier of our own minds but ultimately, it is limited. We do not want to find the limitations of our own psyches by watching AI outstrip and outperform what should be a human frontier. AI acceleration is dwarfing its own creations - never mind how small, mundane, and slow it could render human art. I’m a big fan of technology, but I’m a bigger fan of art.