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


In recent years, the world of AI-powered role-playing (RP) has undergone a dramatic transformation. What began as experimental ventures with primitive AI has blossomed into a vibrant ecosystem of applications, services, and communities. This piece explores the existing environment of AI RP, from widely-used tools to cutting-edge techniques.

The Emergence of AI RP Platforms

Various platforms have come to prominence as popular focal points for AI-assisted storytelling and role-play. These allow users to participate in both traditional RP and more mature ERP (intimate character interactions) scenarios. Personas like Noromaid, or original creations like Poppy Porpoise have become fan favorites.

Meanwhile, other services have become increasingly favored for hosting and exchanging "character cards" – customizable AI entities that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.

Innovations in Language Models

The swift progression of large language models (LLMs) has been a crucial factor of AI RP's expansion. 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 "Model Deployment" services have been created to satisfy this need.

Endeavors like Undi and implementations of NeuralCore.cpp have made it feasible for users to run powerful language models on their own hardware. This "self-hosted model" approach resonates with those worried about data privacy or those who simply appreciate tinkering with AI systems.

Various tools have gained popularity as intuitive options for deploying local models, including powerful 70B parameter versions. These larger models, while processing-heavy, offer superior results for intricate RP scenarios.

Pushing Boundaries and Venturing into New Frontiers

The AI RP community is celebrated for its innovation and willingness to break new ground. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more adaptable and spontaneous characters.

Some users seek out "abiliterated" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Niche tools have appeared to address specific niches or provide unique 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 patterns are taking shape:

Increased focus on on-device and confidential AI solutions
Creation of more sophisticated and optimized models (e.g., rumored Quants)
Exploration read more of groundbreaking techniques like "perpetual context" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Euryvale hint at the prospect for AI to create entire imaginary realms and elaborate narratives.

The AI RP space remains a hotbed of innovation, with collectives like Backyard AI redefining the possibilities of what's achievable. As GPU technology progresses and techniques like quantization improve efficiency, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.

Whether you're a curious explorer or a committed "quant" working on the next breakthrough in AI, the domain of AI-powered RP offers limitless potential for creativity and adventure.

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