The Evolution of AI-Enabled Interactive Storytelling: From Fimbulvetr to Next-Gen Language Models


In the past decade, the world of AI-powered role-playing (RP) has seen a remarkable shift. What started as experimental ventures with primitive AI has blossomed into a dynamic landscape of tools, resources, and communities. This piece explores the present state of AI RP, from popular platforms to innovative techniques.

The Growth of AI RP Platforms

Various platforms have risen as well-liked hubs for AI-enhanced fiction writing and character interaction. These allow users to experience both traditional RP and more mature ERP (erotic role-play) scenarios. Personas like Noromaid, or original creations like Poppy Porpoise have become popular choices.

Meanwhile, other platforms have grown in popularity for distributing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been notably active in creating and distributing these cards.

Innovations in Language Models

The accelerated progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the legendary "HyperVerbal" (a hypothetical future model) highlight the increasing capabilities of AI in generating coherent and situationally appropriate responses.

Model customization has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more sophisticated and reliable interactions.

The Drive for Privacy and Control

As AI RP has gained mainstream appeal, so too has the need for data privacy and individual oversight. This has led to the development of "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have sprung up to meet this need.

Projects like Kobold AI and implementations of Llama.cpp have made it achievable for users to utilize powerful language models on their personal devices. This "on-device AI" approach appeals to those concerned about data privacy or those who simply relish customizing AI systems.

Various tools have become widely adopted as accessible options for running local models, including advanced 70B parameter versions. These more sophisticated models, while GPU-demanding, offer enhanced capabilities for complex 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 Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.

Some users search for "uncensored" or "augmented" models, striving for maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Niche platforms have appeared to cater to 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 envision the future, several developments are becoming apparent:

Growing focus on local and get more info private AI solutions
Creation of more powerful and optimized models (e.g., rumored 70B models)
Exploration of innovative techniques like "neversleep" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Poppy Porpoise hint at the prospect for AI to generate entire imaginary realms and intricate narratives.

The AI RP field remains a nexus of innovation, with groups like IkariDev expanding the limits of what's attainable. As GPU technology advances and techniques like neural compression 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 committed "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers limitless potential for innovation and exploration.

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