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

In the past decade, the realm of AI-assisted storytelling (RP) has experienced a significant evolution. What began as niche experiments with early language models has developed into a thriving community of tools, resources, and user groups. This article investigates the present state of AI RP, from popular platforms to innovative techniques.

The Rise of AI RP Platforms

Various tools have emerged as well-liked hubs for AI-enhanced fiction writing and character interaction. These allow users to engage in both conventional storytelling and more adult-oriented ERP (intimate character interactions) scenarios. Personas like Noromaid, or original creations like Midnight Miqu have become fan favorites.

Meanwhile, other services have become increasingly favored for hosting and exchanging "character cards" – customizable AI entities that users can interact with. The IkariDev community has been notably active in creating and sharing these cards.

Innovations in Language Models

The accelerated development of large language models (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA CPP and the fabled "Mythomax" (a speculative future model) demonstrate the growing potential of AI in creating logical and context-aware responses.

Fine-tuning has become a crucial technique for adapting these models to specific RP scenarios or character personalities. This process allows for more sophisticated and reliable interactions.

The Drive for Privacy and Control

As AI RP has become more widespread, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "AI-as-a-Service" services have emerged to address this need.

Initiatives like Kobold AI and implementations of Llama.cpp have made it possible for users to utilize powerful language models on their local machines. This "on-device AI" approach attracts those concerned about data privacy or those who simply relish customizing AI systems.

Various tools have grown in favor as accessible options for deploying local models, including impressive 70B parameter versions. These more sophisticated models, while processing-heavy, offer improved performance for complex RP scenarios.

Pushing Boundaries and Venturing into New Frontiers

The AI RP community is recognized for its innovation and determination to break new ground. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more adaptable and surprising characters.

Some users pursue "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this sparks 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 private llms "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 emerging:

Heightened focus on self-hosted and secure AI solutions
Development of more sophisticated and optimized models (e.g., rumored Quants)
Investigation of novel techniques like "perpetual context" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Lumimaid hint at the prospect for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a nexus of innovation, with groups like IkariDev redefining the possibilities of what's possible. As GPU technology evolves and techniques like quantization enhance performance, we can expect even more impressive AI RP experiences in the coming years.

Whether you're a casual role-player or a committed "neural engineer" working on the next breakthrough in AI, the realm of AI-powered RP offers endless possibilities for imagination and adventure.