Future Plans
Evolving Our Product Line
As AI technology continues to evolve, Fable is committed to staying at the forefront of innovation and incorporating cutting-edge advancements into our product line. Our primary goal is to enrich our customers' experiences by delivering the latest AI-driven features as they become available.
Souls: Bringing Life to NFTs
One of our most innovative and unique offerings is our "Souls" product (Souls), which breathes life into NFTs by utilizing large language models to give each NFT a distinctive personality. Souls revolutionizes the way collectors and enthusiasts interact with their NFTs, transforming static digital art into dynamic, engaging characters that can respond to user interactions.
Motion and Audible Voice
In the near future, we anticipate even more breakthroughs in AI technology that will enable us to enhance Souls further. We are closely monitoring advancements in fields like natural language processing, computer vision, image and video generation, and speech synthesis to bring the next generation of features to our customers. Once the technology is ready, we plan to:
Add motion to NFTs: By leveraging the latest developments in AI-driven animation, we aim to bring fluid motion to NFTs, giving them the ability to move and interact with their surroundings. This will create a new level of immersion and excitement for NFT owners, as their digital art transforms into lifelike characters.
Introduce audible voices: Our vision for Souls extends beyond text-based interactions. We are actively researching voice synthesis technology to provide NFTs with unique, audible voices. This will allow for a more natural and engaging communication experience between users and their NFTs, further deepening the bond between collectors and their digital art.
Training Our Own AI Models
While OpenAI's LLMs provide us with incredible resources, we recognize the importance of developing our own in-house expertise and solutions. In the long term, we plan to train our own AI models using replicable instruction-following models, inspired by the approach outlined in the article published by Stanford Universities Center for Research on Foundation Models (CRFM): Alpaca: A Strong, Replicable Instruction-Following Model.
This approach offers numerous benefits, including:
Tailoring our AI models to better understand and serve our specific domain, focusing on NFTs and generative adventure games.
Reducing dependency on external APIs and associated costs.
Enhancing data privacy and security by keeping our AI models and data in-house.
Building a solid foundation for future AI innovations and applications specific to our industry.
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