The Future of Generative AI: Predictions and Trends in 2023
Updated: May 9
Artificial intelligence (AI) is evolving at a rapid pace, and generative AI is no exception. Generative AI involves using machine learning algorithms to create new and unique content, such as music, art, and text. As technology keeps advancing, the potential uses of generative AI are becoming increasingly evident. Generative AI is constantly shaping the world and industries every day, even every hour. In this blog post, we will delve into the predictions for generative AI in 2023, including the trends that are expected to emerge.
In 2023, we can expect to see longer video segments generated from text inputs that are more realistic and have better temporal consistency. It is unlikely that generative AI will be used to create entire movies or TV shows, but significant advancements will be made to address the current limitations of the technology. Generative AI will be applied to various aspects of movie production, such as script-writing, special effects, voice synthesis, music, and sound effects. The idea-to-script approach will also become more prevalent, allowing users to describe the video they want to create with time-stamped prompts. This will enable the creation of synthetic videos with multiple objects, scenes, and actions rather than just a single prompt generating a short 10-second video of the same object and scene.
Artists will be able to create music more efficiently and with fewer people involved in the production process thanks to synthetic audio generation. It is possible that a synthetically generated song could make it to Billboard’s top 100 hits for 2023, though we may not even realize it. The music industry is likely to experience a significant disruption in 2023.
Individuals who lack the necessary musical skills, such as playing instruments or singing, can quickly produce high-quality studio-level songs using synthetic audio generation technology. Voice synthesis will improve to the point where it is difficult to distinguish between real and synthetic voices. IVR systems will be enhanced with advanced language models, natural language processing, and voice synthesis, providing a better customer experience.
In 2023, we can expect to see advancements that enable the generation of photorealistic and physically accurate 3D models from text and voice prompts. These models will have high fidelity and be suitable for use in games and simulations without the need for manual post-processing to clean up meshes and textures.
Instead of generating final results based on text prompts, new solutions will come to market that allow for real-time modifications of the properties of 3D assets, including textures, materials, rigging, and other attributes.
Generative AI will play a greater role in creating scenarios and producing assets for military simulations that are physically accurate and photorealistic. This will allow for more efficient development of environments and more time to be spent executing simulations for training, testing, and war games.
Hyper-personalization is an emerging trend that is gaining popularity across different segments of media. Unlike traditional personalization which simply curates content based on predefined classes, hyper-personalization uses AI to generate content that caters to a specific individual's preferences. For instance, instead of search engines like Google which curate results based on keywords, large language models like ChatGPT produce specific answers tailored to individual profiles.
Marketers are expected to adopt hyper-personalization as a way of engaging with consumers in unique ways. This means moving away from mass appeal and targeted campaigns using static content, towards creating content that is auto-generated to meet specific individual profiles. While a "Minority Report" moment is not expected in 2023, there will be a shift towards greater personalization in marketing campaigns facilitated by generative AI.
Media, too, will increasingly move towards hyper-personalization, with auto-generated images and headlines in online news stories that are more appealing and valuable to individual users, and even music and movies that may be partially or fully dynamically generated to be more aesthetically pleasing and engaging to individuals. This is a rapidly growing area of development, with numerous startups expected to emerge in the coming decade.
From Search to Chat
ChatGPT has gained significant popularity and has already attracted over a million users in less than a week, despite still being in public beta. Its conversational approach is highly engaging, and users appreciate the quality and format of its responses, even though its accuracy is not yet fully reliable. This platform poses a significant challenge to Google's search engine dominance in an industry that has seen little innovation in recent years. I predict that consumers will increasingly prefer conversational large language models that actively learn, and we can expect to see more of them in the future. Although OpenAI intends to charge for ChatGPT's use, other tech companies are likely to launch free versions, and these large language models will support existing services, such as customer service chatbots and personal assistants like Siri and Alexa.
The development of Artificial General Intelligence (AGI) will lead to an increase in the creation of multi-modal models, which can operate across different applications and generate both text and images. This area of research will be a strong focus and receive significant investment in 2023.
Venture capitalists (VCs) are actively searching for promising startups in emerging technology, and this will result in substantial investment in generative AI startups, including those with weaker business models. However, many of these startups may fail to live up to expectations and hype, causing investors to become more cautious in the latter part of 2023.
Photo credit: Chantellemarcelle
In 2023, influencers will start using generative AI tools to enhance their appearance and create content for their social media posts. This will lead to the emergence of "synthetic" influencers who will have entirely generated images, videos, voices, and dialogue, making them appear like real humans. While this has been attempted before, advancements in technology and greater accessibility to it will lead to more photorealistic and consistent results. It is predicted that by 2035, most online influencers will be fully synthetic, and our synthetic avatars will become extensions of ourselves as we enter the Metaverse.
Generative AI still has a lot of space to continuously grow and reach to its full capacity in applications. As one of the most prominent trends of AI in 2023, many companies are developing their software under the power of Generative AI. Pixta AI is not an exception. At Pixta AI, Data annotation software is constantly being improved through the application of generative AI. Thereby, we are always proud to be the leading provider of Data annotation full-packaged service with the most accurate, fastest results at the most reasonable cost in Vietnam and in the world.
Don't hesitate to get in touch with us now to learn more about the plethora of generative AI-related research opportunities!