The Advancement of AI-Driven Interactive Storytelling: From Ancient Myths to Local 70B Models

In the past decade, the realm of AI-assisted storytelling (RP) has seen a remarkable shift. What began as fringe projects with first-generation chatbots has blossomed into a thriving community of platforms, resources, and enthusiasts. This overview explores the current landscape of AI RP, from widely-used tools to innovative techniques.

The Emergence of AI RP Platforms

Various services have risen as favored centers for AI-assisted storytelling and character interaction. These allow users to participate in both conventional storytelling and more risqué ERP (sensual storytelling) scenarios. Personas like Euryvale, or user-generated entities like Poppy Porpoise have become community darlings.

Meanwhile, other platforms have gained traction for hosting and sharing "character cards" – customizable AI entities that users can converse with. The Backyard AI community has been especially active in designing and sharing these cards.

Advancements in Language Models

The accelerated evolution of advanced AI systems (LLMs) has been a key driver of AI RP's growth. Models like LLaMA CPP and the legendary "Mythomax" (a hypothetical future model) demonstrate the growing potential of AI in generating logical and situationally appropriate responses.

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

The Drive for Privacy and Control

As AI RP has grown in popularity, so too has the need for confidentiality and individual oversight. This has led to the emergence of "private LLMs" and runpod local hosting solutions. Various "Model Deployment" services have sprung up to satisfy this need.

Projects like NeverSleep and implementations of Llama.cpp have made it achievable for users to run powerful language models on their personal devices. This "local LLM" approach attracts those focused on data privacy or those who simply enjoy customizing AI systems.

Various tools have gained popularity as accessible options for managing local models, including impressive 70B parameter versions. These more complex models, while computationally intensive, offer improved performance for elaborate RP scenarios.

Pushing Boundaries and Investigating New Frontiers

The AI RP community is celebrated for its inventiveness and willingness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more versatile and spontaneous characters.

Some users search for "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing ethical debates within the community.

Niche services have surfaced to address specific niches or provide novel approaches to AI interaction, often with a focus on "no logging" 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 trends are taking shape:

Growing focus on self-hosted and secure AI solutions
Creation of more capable and streamlined models (e.g., anticipated Quants)
Research of groundbreaking techniques like "eternal memory" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Personas like Euryvale hint at the prospect for AI to produce entire virtual universes and intricate narratives.

The AI RP field remains a crucible of innovation, with groups like IkariDev expanding the limits of what's possible. As GPU technology progresses and techniques like quantization 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.