The Progression of AI-Driven Role-Playing: From Norse Legends to Cutting-Edge AI


In the last few years, the world 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 applications, platforms, and user groups. This piece investigates the existing environment of AI RP, from popular platforms to innovative techniques.

The Emergence of AI RP Platforms

Various tools have come to prominence as well-liked hubs for AI-assisted storytelling and character interaction. These allow users to participate in both classic role-playing and more risqué ERP (erotic role-play) scenarios. Characters like Stheno, or original creations like Lumimaid have become fan favorites.

Meanwhile, other platforms have gained traction for distributing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been particularly active in designing and spreading these cards.

Advancements in Language Models

The swift evolution of neural language processors (LLMs) has been a key driver 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 essential technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more refined and stable interactions.

The Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the need for data privacy and user control. This has led to the rise of "private LLMs" and local hosting solutions. Various "LLM hosting" services have sprung up to satisfy this need.

Endeavors like NeverSleep and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their own hardware. This "local LLM" approach appeals to those focused on data privacy or those who simply relish experimenting with AI systems.

Various tools have become widely adopted as user-friendly options for running local models, including advanced 70B parameter versions. These more complex models, while GPU-demanding, offer enhanced capabilities for elaborate RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is known for its inventiveness and eagerness to push boundaries. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.

Some users pursue "uncensored" fimbulvetr or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing philosophical conversations within the community.

Niche platforms have emerged to address specific niches or provide unique 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 envision the future, several patterns are taking shape:

Increased focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated 70B models)
Research of innovative techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Poppy Porpoise hint at the prospect for AI to generate entire virtual universes and elaborate narratives.

The AI RP space remains a crucible of innovation, with groups like IkariDev redefining the possibilities of what's possible. As GPU technology evolves and techniques like quantization boost capabilities, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.

Whether you're a casual role-player or a passionate "quant" working on the next innovation in AI, the domain of AI-powered RP offers limitless potential for innovation and exploration.

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