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

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In the past decade, the world of AI-powered role-playing (RP) has seen a remarkable shift. What started as niche experiments with early language models has grown into a vibrant ecosystem of applications, platforms, and enthusiasts. This article investigates the current landscape of AI RP, from user favorites to cutting-edge techniques.

The Emergence of AI RP Platforms

Various tools 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 (sensual storytelling) scenarios. Avatars like Stheno, or user-generated entities like Midnight Miqu have become fan favorites.

Meanwhile, other platforms have grown in popularity for distributing and sharing "character cards" – ready-to-use digital personas 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 fabled "HyperVerbal" (a hypothetical future model) showcase the increasing capabilities of AI in producing consistent and situationally appropriate responses.

Model customization has become a essential technique for adjusting these models to unique RP scenarios or character personalities. This approach allows for more refined and stable interactions.

The Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the demand for privacy and user website control. This has led to the emergence of "local LLMs" and local hosting solutions. Various "AI-as-a-Service" services have been created to satisfy this need.

Endeavors like NeverSleep and implementations of CogniScript.cpp have made it achievable for users to utilize powerful language models on their own hardware. This "local LLM" approach appeals to those concerned about data privacy or those who simply enjoy tinkering with AI systems.

Various tools have gained popularity as user-friendly options for running local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer superior results for elaborate RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is recognized for its innovation and willingness to push boundaries. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more adaptable and surprising characters.

Some users pursue "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this provokes ongoing moral discussions within the community.

Specialized platforms have surfaced 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 envision the future, several developments are emerging:

Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated LLaMA-3)
Research of innovative techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Poppy Porpoise hint at the prospect for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a nexus of innovation, with collectives like Chaotic Soliloquy redefining the possibilities of what's achievable. As GPU technology advances and techniques like neural compression improve efficiency, we can expect even more remarkable AI RP experiences in the near future.

Whether you're a occasional storyteller or a dedicated "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.

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