The Next Big Bet in AI: Streaming Apps with AI-Generated Content

Have you ever wished you could watch a new movie or series every weekend that was as good as your previous favorite? Tailored to your preferences, interests, and mood? A movie that was not limited by the constraints of human creativity, budget, or production time? A movie that was generated on the spot by artificial intelligence (AI)?

Imagine apps like Netflix hiring movie studios with humans collaborating, using nothing but AI to build the next great sci-fi series. Your favorite sci-fi stories would never end. You'd have a new episode to watch every week, forever.

If this sounds like a sci-fi fantasy, think again. AI is already transforming the way we create and consume video content. From smart video editing software to generative text-to-video apps, some tools can help anyone produce high-quality videos with minimal effort and time.

But what if we could take this a step further? What if streaming apps like Netflix, Hulu, and Disney+ worked more like the App Store? What if they became developer platforms where anyone could upload their own AI-generated movies and series? What if, as a consumer, you could browse through thousands of options and find something that perfectly matched your taste and mood? More importantly, it was new every time!

This is the next big bet in AI: streaming apps with AI-generated movies. In this blog post, I will explore what this might look like, how it could benefit both creators and viewers and what kinds of AI models and technology are needed to make this happen.

How Streaming Apps with AI-Generated Movies Could Work

Imagine you open your favorite streaming app and see a new category: AI-Generated Movies. You click on it and see a list of genres, themes, and styles to choose from. You can also filter by ratings, reviews, popularity, and freshness.

You decide to watch a comedy movie with a sci-fi twist. You select a title that sounds intriguing: "The Alien Invasion of 2023". You read the description: "A hilarious mockumentary about how humans react to an alien invasion that turns out to be a prank by a bored extraterrestrial teenager."

You press play and watch the movie. It's funny, original, and surprisingly well-made. The actors are realistic digital avatars that mimic human expressions and emotions. The dialogue is witty and natural. The plot is engaging and unpredictable. The visuals are stunning and immersive.

You enjoy the movie so much that you leave a positive review and tip the creator. You also follow them to see their other works. You discover that they are not a professional filmmaker but an amateur AI enthusiast who used an online tool called Kapwing to generate the movie from a text prompt.

You are curious about how they did it. You visit Kapwing's website and see that it's an AI video generator that lets you create videos from text prompts using AI. You type out any idea or topic you have, and Kapwing's AI video generator creates an AI-generated video for you with video clips, subtitles, background music, and transitions. You can then edit the video right then and there.

You decide to give it a try. You type out your own idea for a movie: "A romantic comedy about two rival chefs who fall in love during a cooking competition." You press generate and wait for a few minutes. You see a preview of your movie on the screen. It looks promising. You decide to edit it further and upload it to your streaming app of choice.

You have just become an AI movie producer.

The Benefits of Streaming Apps with AI-Generated Movies

Streaming apps with AI-generated movies could offer many benefits for both creators and viewers.

For creators, it could lower the barriers to entry and democratize filmmaking. Anyone with an idea and an internet connection could produce their own movies and series without needing any technical skills, equipment, or budget. They could also experiment with different genres, styles, and formats without any risk or cost.

For viewers, it could increase the diversity and quality of content available. They could find something new and interesting to watch whenever they open their streaming app. They could also discover new voices and perspectives that mainstream media might not represent. They could also interact with the creators directly and support them financially.

The Challenges of Streaming Apps with AI-Generated Movies

Streaming apps with AI-generated movies could also pose some challenges for both creators and viewers.

For creators, it could raise some ethical and legal issues around intellectual property, plagiarism, and consent. Who owns the rights to AI-generated movies? How can they protect their work from being copied or stolen? How can they ensure they do not infringe on anyone else's rights or privacy? How can they deal with negative feedback or criticism?

For viewers, it could raise some questions about trust, authenticity, and quality. How can they tell if the AI-generated movies are original or not? How can they verify the accuracy or credibility of the information or messages presented in them? How can they judge the quality or value of AI-generated movies? How can they avoid being manipulated or deceived by them?

The Technology Behind Streaming Apps with AI-Generated Movies

Streaming apps with AI-generated movies would require some advanced AI models and technology to work effectively.

One of the key components would be generative text-to-video models that can convert natural language inputs into realistic video outputs. These models would need to be able to understand the meaning and context of the text prompts, generate relevant video clips from large databases or online sources, synthesize realistic digital avatars or characters from text descriptions or images, compose coherent dialogue or narration from text inputs or speech synthesis models, add appropriate background music or sound effects from audio libraries or generative models, and apply suitable transitions or effects from editing tools or templates.

Another key component would be quality control models that can evaluate the quality and relevance of the video outputs. These models would need to be able to measure various aspects of the video outputs, such as clarity, coherence, consistency, creativity, originality, accuracy, credibility, diversity, style, tone, mood, genre, theme, message, etc., using various metrics such as ratings,
reviews,
popularity,
freshness,
etc.,

Some examples of existing or emerging AI models and technology that could enable streaming apps with AI-generated movies are:

• OpenAI's DALL-E model that can generate images from text prompts
• NVIDIA's GauGAN model that can generate realistic landscapes from sketches
• Synthesia's model that can create digital avatars from images
• Wav2Lip model that can synchronize lip movements with speech
• Jukebox model that can generate music from lyrics or genres
• Descript's model that can edit video by editing the script
• Runway's model that can experiment with generative AI

Conclusion

Streaming apps with AI-generated movies could be the next big bet in AI. They could offer a new way of creating and consuming video content that is more accessible,
diverse, and engaging more than ever before.

However, they could also pose some challenges and risks
that need to be addressed and mitigated by both creators
and viewers.

The technology behind streaming apps with AI-generated movies is already here or on its way.
The question is how will we use it, and what will we make of it?