The Evolution of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models

In the last few years, the world of AI-driven character interaction (RP) has experienced a remarkable shift. What started as niche experiments with early language models has developed into a thriving community of tools, resources, and user groups. This overview examines the existing environment of AI RP, from widely-used tools to cutting-edge techniques.

The Emergence of AI RP Platforms

Various platforms have risen as well-liked centers for AI-assisted storytelling and immersive storytelling. These allow users to participate in both conventional storytelling and more mature ERP (sensual storytelling) scenarios. Avatars like Stheno, or user-generated entities like Lumimaid have become community darlings.

Meanwhile, other websites have gained traction for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been particularly active in designing and spreading these cards.

Advancements in Language Models

The rapid evolution of neural language processors (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the fabled "HyperVerbal" (a speculative future model) showcase the growing potential of AI in creating logical and context-aware responses.

Fine-tuning has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This approach allows for more refined and stable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the demand for privacy and user control. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "LLM hosting" services have sprung up to meet this need.

Projects like Kobold AI and implementations of Llama.cpp have made it possible read more for users to utilize powerful language models on their local machines. This "self-hosted model" approach resonates with those focused on data privacy or those who simply relish customizing AI systems.

Various tools have grown in favor as accessible options for deploying local models, including powerful 70B parameter versions. These larger models, while computationally intensive, offer enhanced capabilities for elaborate RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is recognized for its innovation and willingness to break new ground. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more versatile and unpredictable characters.

Some users search for "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.

Specialized tools have appeared to cater to specific niches or provide novel 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 look to the future, several patterns are taking shape:

Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated Quants)
Investigation of novel techniques like "eternal memory" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Lumimaid hint at the potential for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a crucible of innovation, with groups like IkariDev expanding the limits of what's possible. As GPU technology progresses and techniques like cognitive optimization enhance performance, we can expect even more astounding AI RP experiences in the near future.

Whether you're a curious explorer or a dedicated "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.