The Advancement of AI-Enabled Role-Playing: From Fimbulvetr to Local 70B Models


In the past decade, the domain of AI-assisted storytelling (RP) has seen a dramatic transformation. What began as niche experiments with primitive AI has grown into a thriving community of tools, resources, and user groups. This article investigates the existing environment of AI RP, from widely-used tools to cutting-edge techniques.

The Growth of AI RP Platforms

Various tools have emerged as well-liked centers for AI-assisted storytelling and role-play. These allow users to experience both classic role-playing and more adult-oriented ERP (erotic role-play) scenarios. Personas like Stheno, or user-generated entities like Lumimaid have become popular choices.

Meanwhile, other platforms have become increasingly favored for hosting and circulating "character cards" – pre-made AI personalities that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.

Breakthroughs 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 mythical "OmniLingua" (a hypothetical future model) showcase the growing potential of AI in creating coherent and situationally appropriate responses.

AI personalization has become a vital technique for adapting these models to particular RP scenarios or character personalities. This method allows for more refined and consistent interactions.

The Push for Privacy and Control

As AI RP has become more widespread, so too has the need for privacy and user control. This has led to the emergence of "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have emerged to address this need.

Initiatives like NeverSleep and implementations of CogniScript.cpp have made it possible for users to run powerful language models on their own hardware. This "local LLM" approach attracts those worried about data privacy or those who simply appreciate experimenting with AI systems.

Various tools have grown in favor as intuitive options for managing local models, including advanced 70B parameter versions. These more sophisticated models, while processing-heavy, offer superior here results for elaborate RP scenarios.

Breaking New Ground and Venturing into New Frontiers

The AI RP community is known for its innovation and eagerness to push boundaries. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more dynamic and unpredictable characters.

Some users search for "abiliterated" or "enhanced" models, striving for maximum creative freedom. However, this raises ongoing ethical debates within the community.

Focused tools have appeared to serve specific niches or provide alternative approaches to AI interaction, often with a focus on "data protection" policies. Companies like recursal.ai and featherless.ai are among those exploring innovative approaches in this space.

The Future of AI RP

As we anticipate the future, several trends are taking shape:

Increased focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated 70B models)
Exploration of groundbreaking techniques like "eternal memory" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Euryvale hint at the prospect for AI to generate entire fictional worlds and intricate narratives.

The AI RP space remains a nexus of invention, with groups like IkariDev expanding the limits of what's achievable. As GPU technology advances and techniques like quantization boost capabilities, 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 realm of AI-powered RP offers infinite opportunities for creativity and discovery.

Leave a Reply

Your email address will not be published. Required fields are marked *