OpenAI Introduced in 2021 Darui, a deep learning model that can generate realistic images from text prompts. It was the first widely recognized commercial generative AI tool. since then, hundreds of tools Products related to generative AI in media and other areas are being released with applications in all facets of art, music, marketing, entertainment, and more.
If you’re wondering what Generative AI is, let me briefly explain it below.
Generation AI – Specialized artificial intelligence (AI) domain – Uses advanced algorithms to generate lifelike text, voice, images, or videos. Most notably, Generative AI’s origins date back to 2014. GANs (generative adversarial networks) were introduced. GANs are the first models that can generate lifelike images of humans that have never existed before. after that, VAE (variational autoencoder), popular modeland transformers Models are the backbone of generative AI.
Generative AI received a lot of attention when OpenAI was introduced in November 2022. Chat GPT – large scale language model (LLM) can generate human-like text and conduct engaging conversations.Just 5 days after launch, ChatGPT hits its goals 1 million users.
Let’s discuss how generative AI models have powered the media and entertainment industry.
Generative AI in Media and Entertainment – Four Key Applications
By 2030 AI will Be expected It is expected to be a $1.5 trillion market impacting all major industries, including media and entertainment, which are at the forefront of AI’s impact. For example, AI in social media alone $12 billion Market size will increase by 2031. Today, more and more consumers prefer interacting with AI-powered chatbots to get instant responses to their queries. Marketers are also increasingly turning to AI in their advertising campaigns.
Let’s take a look at some of the major applications of AI in media.
1. Content writing using AI
literature is the most famous application of generative AI. An LLM like ChatGPT completely removes the barriers for writers by inspiring new avenues of creativity. Journalists, screenwriters, social media copywriters, blog writers, and storytellers can use LLM to create compelling content in seconds.
However, AI-based content generation has sparked debate as to whether search engines such as Google rank such content. Google recently stance That means ranking content based on expertise, experience, authoritativeness, and credibility, regardless of how the content was generated. But if someone is planning to use AI to manipulate search results, that’s not going to work.
2. Image generation using AI
stable diffusion, DALL-E, and The middle of a journey Generate high-quality, surreal images from natural language prompts. In the media and entertainment industry, content creators can use these images in blogs, articles, social media posts, and advertisements. This not only reduces production costs, but also allows more creativity in the artist’s work. Additionally, these images can be used as input prompts for AI-based video generation.
3. Movie production using AI
28 Squared Studios recently collaborated with Moon Ventures on the short film “safe areais written and directed by AI (ChatGPT). ChatGPT provided the scripts, camera positions, clothing and facial expressions for each character. safe area This was the first use of AI in filmmaking. In the future, it is hoped that full movies will be generated by AI.
movie producer To tell They said they made a short film to highlight the potential for cooperation between generative AI and humans and demonstrate how the two can work together to create high-quality content. Additionally, the short film offers a glimpse into the future of storytelling and offers insight into the harmonious coexistence of humans and AI in the creative realm.
4. Marketing using AI
AI can analyze massive amounts of marketing data to see what works and what doesn’t in the marketing industry. According to a 2023 study, 73% of marketers use generative AI tools for B2B and B2C marketing. It helps marketers identify customer behaviors and patterns from feedback to generate compelling and engaging text, image, and video content.
Generative AI Videography – A New Era
Recently, a number of generative AI models and tools have been released that are revolutionizing the field of videography. Typical tools include:
- Runway Research created a model called “”.2nd generationCreate innovative videos from text, images, and video clips.
- In March 2023, Google Research, in partnership with the Hebrew University of Jerusalem, will Dolly mixa diffusion-based model that creators can use to edit videos and perform text-based motion.
- Nvidia, an American technology company that manufactures and designs GPUs (graphics processing units), text-to-video model. The model uses latent diffusion model Create high quality videos.
- Artists are using a combination of these AI videography tools. Create a music video.
Leveraging Generative AI video production capabilities, creators can fine-tune visual aesthetics to create immersive experiences for their audience.
Adopting Generative AI: One Step at a Time
The output created by Generative AI, especially images and videos, is imperfect. For example, DALL-E and stable diffusion can result in garbled faces and missing fingers. Therefore, human input is required to tailor and create the final content. Although generative AI tools have some limitations, the pace of evolution of these AI systems is astounding.
Coca-Cola, for example, has set new benchmarks for how AI can create engaging ads.their Latest ads powered by AI (Stable Diffusion), Film, and 3D for an immersive experience.
Should You Worry About Generative AI in Media? – Risks
Despite the significant advantages of generative AI in terms of efficiency, personalization and scalability, there are also potential risks and drawbacks associated with it. these are:
1. Leaving
According to Goldman Sachs, 300 million jobs It will be replaced by AI in 2025. AI shows creativity and the ability to be creative. white collar job It was previously thought to be exclusive to humans. Left unchecked, AI systems can lead to severe economic downturns.
2. Fake Content
In 2018, filmmaker Jordan Peele and BuzzFeed released a very realistic footage. deepfake Former US President Barack Obama. This video was intended to raise awareness about potential abuses of AI. This highlighted how easy it is to use someone’s face and voice to spread false stories and disinformation.
Most recently, an AI-generated image of former President Trump detained by police in March 2023 went viral.creator Elliott Hughes I have verified that the image was generated using MidJourney V5.
Make a photo of Trump being arrested while waiting for Trump’s arrest. pic.twitter.com/4D2QQfUpLZ
— Elliot Higgins (@EliotHiggins) March 20, 2023
Therefore, the use of AI in media can lead to a flood of fake content that is difficult to verify and regulate.
3. Intellectual property and copyright
Determining ownership and rights to AI-generated content is difficult without clear legislation. For example, due to copyright issues, Getty Images Banned Prevent AI-generated content from being uploaded to the platform. Additionally, Getty Images sued Stability AI Inc., alleging its use. 12 million Images cannot be taken from the database without permission or compensation.
What lies ahead?
Generative AI is definitely groundbreaking. We help creators in many industries, especially media, to be more creative and productive. The future of generative AI is exciting, but also worrying.
In March 2023, Elon Musk and 32,000 other tech leaders and AI developers will signed the petition It aims to halt production of AI models stronger than GPT-4 for six months. The idea is to give governments and policymakers enough time to build robust AI governance frameworks that can mitigate AI risks without stifling innovation.
Exciting times to come! For AI-related content, please visit: unite eye.
