The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the past decade, the domain of AI-driven character interaction (RP) has experienced a significant evolution. What began as fringe projects with primitive AI has developed into a thriving community of applications, platforms, and user groups. This article examines the existing environment of AI RP, from widely-used tools to groundbreaking techniques.
The Rise of AI RP Platforms
Various services have come to prominence as popular focal points for AI-enhanced fiction writing and character interaction. These allow users to experience both traditional RP and more mature ERP (erotic role-play) scenarios. Personas like Euryvale, or custom personalities like Lumimaid have become fan favorites.
Meanwhile, other services have grown in popularity for distributing and circulating "character cards" – pre-made AI personalities that users can interact with. The Chaotic Soliloquy community has been particularly active in designing and distributing these cards.
Innovations in Language Models
The swift evolution of advanced AI systems (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the legendary "OmniLingua" (a theoretical future model) demonstrate the growing potential of AI in producing coherent and situationally appropriate responses.
Model customization has become a essential technique for adapting these models to specific RP scenarios or character personalities. This approach allows for more refined and reliable interactions.
The Drive for Privacy and Control
As AI RP has grown in popularity, so too has the demand for data privacy and individual oversight. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "AI-as-a-Service" services have emerged to meet this need.
Endeavors like Undi and implementations of Llama.cpp have made it achievable for users to operate powerful language models on their here own hardware. This "self-hosted model" approach attracts those concerned about data privacy or those who simply relish experimenting with AI systems.
Various tools have gained popularity as intuitive options for deploying local models, including impressive 70B parameter versions. These more complex models, while computationally intensive, offer superior results for intricate RP scenarios.
Pushing Boundaries and Investigating New Frontiers
The AI RP community is known for its innovation and determination to break new ground. Tools like Neural Path Optimization allow for detailed adjustment over AI outputs, potentially leading to more versatile and surprising characters.
Some users seek out "abiliterated" or "obliterated" models, striving for maximum creative freedom. However, this provokes ongoing moral discussions within the community.
Focused platforms have appeared to address specific niches or provide alternative approaches to AI interaction, often with a focus on "privacy-first" policies. Companies like recursal.ai and featherless.ai are among those exploring innovative approaches in this space.
The Future of AI RP
As we envision the future, several trends are taking shape:
Heightened focus on local and private AI solutions
Creation of more capable and streamlined models (e.g., rumored LLaMA-3)
Investigation of groundbreaking techniques like "eternal memory" for maintaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Euryvale hint at the prospect for AI to generate entire fictional worlds and elaborate narratives.
The AI RP field remains a nexus of advancement, with collectives like Backyard AI pushing the boundaries of what's possible. As GPU technology advances and techniques like neural compression enhance performance, we can expect even more remarkable AI RP experiences in the coming years.
Whether you're a occasional storyteller or a committed "AI researcher" working on the next innovation in AI, the realm of AI-powered RP offers limitless potential for imagination and exploration.