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

In recent years, the realm of AI-assisted storytelling (RP) has seen a remarkable shift. What began as niche experiments with first-generation chatbots has developed into a vibrant ecosystem of tools, services, and user groups. This piece examines the existing environment of AI RP, from popular platforms to cutting-edge techniques.

The Rise of AI RP Platforms

Various platforms have emerged as popular hubs for AI-assisted storytelling and character interaction. These allow users to participate in both classic role-playing and more mature ERP (intimate character interactions) scenarios. Personas like Stheno, or custom personalities like Poppy Porpoise have become community darlings.

Meanwhile, other platforms have become increasingly favored for sharing and sharing "character cards" – customizable AI entities that users can engage. The Chaotic Soliloquy community has been notably active in designing and spreading these cards.

Innovations in Language Models

The rapid evolution of large language models (LLMs) has been a primary catalyst of AI RP's growth. Models like Llama.cpp and the mythical "OmniLingua" (a hypothetical future model) demonstrate the expanding prowess of AI in generating logical and context-aware responses.

Model customization has become a crucial technique for tailoring these models to unique RP scenarios or character personalities. This process allows for more sophisticated and stable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the call for data privacy and user control. This has led to the emergence of "user-owned language processors" and self-hosted AI options. Various get more info "Model Deployment" services have been created to meet this need.

Projects like Undi and implementations of NeuralCore.cpp have made it achievable for users to utilize powerful language models on their own hardware. This "local LLM" approach attracts those worried about data privacy or those who simply enjoy tinkering with AI systems.

Various tools have grown in favor as intuitive options for running local models, including powerful 70B parameter versions. These larger models, while GPU-demanding, offer improved performance for intricate RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is known for its creativity and willingness to push boundaries. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more dynamic and unpredictable characters.

Some users search for "abiliterated" or "augmented" models, targeting maximum creative freedom. However, this provokes ongoing philosophical conversations within the community.

Focused services have appeared to serve specific niches or provide alternative 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 patterns are becoming apparent:

Heightened focus on local and private AI solutions
Development of more sophisticated and streamlined models (e.g., speculated LLaMA-3)
Exploration of groundbreaking techniques like "perpetual context" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Lumimaid hint at the potential for AI to produce entire fictional worlds and intricate narratives.

The AI RP domain remains a crucible of innovation, with collectives like Chaotic Soliloquy expanding the limits of what's possible. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more astounding AI RP experiences in the coming years.

Whether you're a casual role-player or a passionate "AI researcher" working on the next breakthrough in AI, the realm of AI-powered RP offers infinite opportunities for creativity and adventure.