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

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In the last few years, the realm of AI-assisted storytelling (RP) has experienced a significant evolution. What began as experimental ventures with primitive AI has blossomed into a dynamic landscape of tools, services, and enthusiasts. This article examines the current landscape of AI RP, from widely-used tools to groundbreaking techniques.

The Emergence of AI RP Platforms

Various tools have come to prominence as favored centers for AI-assisted storytelling and role-play. These allow users to participate in both classic role-playing and more mature ERP (sensual storytelling) scenarios. Personas like Euryvale, or user-generated entities like Poppy Porpoise have become community darlings.

Meanwhile, other platforms have gained traction for hosting and sharing "character cards" – customizable AI entities that users can converse with. The Backyard AI community has been especially active in designing and sharing these cards.

Breakthroughs in Language Models

The accelerated evolution of advanced AI systems (LLMs) has been a key driver of AI RP's proliferation. Models like Llama.cpp and the legendary "Mythomax" (a hypothetical future model) demonstrate the increasing capabilities of AI in producing coherent and situationally appropriate responses.

Fine-tuning has become a vital technique for tailoring these models to specific RP scenarios or character personalities. This approach allows for more sophisticated and consistent interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the need for confidentiality and user control. This has led to the development of "private LLMs" and local hosting solutions. Various "Model Deployment" services have emerged to satisfy this need.

Initiatives like NeverSleep and implementations of NeuralCore.cpp have made it achievable for users to utilize powerful language models on their personal devices. This "local LLM" approach resonates with those concerned about data privacy or those who simply relish experimenting with AI systems.

Various tools have grown in favor as user-friendly options for managing local models, including impressive 70B parameter versions. These more complex models, while processing-heavy, offer improved performance for elaborate RP scenarios.

Pushing Boundaries and Investigating New Frontiers

The AI RP community is recognized for its inventiveness and willingness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more versatile and surprising characters.

Some users seek out "uncensored" or "obliterated" models, striving for maximum creative freedom. However, this provokes ongoing ethical debates within the community.

Niche platforms have appeared to serve 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 look to the future, several developments are taking shape:

Heightened focus on on-device and confidential AI solutions
Development of more powerful and efficient models (e.g., rumored 70B models)
Investigation of innovative techniques like "perpetual context" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike read more experiences
Entities like Euryvale hint at the possibility for AI to create entire imaginary realms and elaborate narratives.

The AI RP field remains a crucible of invention, with communities like IkariDev pushing the boundaries of what's possible. As GPU technology advances and techniques like cognitive optimization boost capabilities, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.

Whether you're a occasional storyteller or a committed "quant" working on the next breakthrough in AI, the domain of AI-powered RP offers infinite opportunities for imagination and exploration.

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