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


In the last few years, the world of AI-assisted storytelling (RP) has seen a significant evolution. What originated as niche experiments with first-generation chatbots has developed into a thriving community of platforms, resources, and enthusiasts. This article explores the present state of AI RP, from widely-used tools to innovative techniques.

The Rise of AI RP Platforms

Various platforms have emerged as popular hubs for AI-powered narrative creation and immersive storytelling. These allow users to experience both conventional storytelling and more risqué 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 circulating "character cards" – customizable AI entities that users can converse with. The IkariDev community has been especially active in creating and spreading these cards.

Innovations in Language Models

The swift development of neural language processors (LLMs) has been a primary catalyst of AI RP's expansion. Models like LLaMA-3 and the fabled "OmniLingua" (a speculative future model) highlight the expanding prowess of AI in generating coherent and context-aware responses.

Fine-tuning has become a crucial 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 become more widespread, so too has the call for confidentiality and personal autonomy. This has led to the rise of "private LLMs" and on-premise model deployment. Various "LLM hosting" services have been created to satisfy this need.

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

Various tools have gained popularity as user-friendly options for managing local models, including powerful 70B parameter versions. These larger models, while computationally intensive, offer superior results for intricate RP scenarios.

Pushing Boundaries and Venturing click here into New Frontiers

The AI RP community is recognized for its creativity and determination to challenge limits. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.

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

Focused platforms have surfaced 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 anticipate the future, several trends are taking shape:

Heightened focus on local and private AI solutions
Advancement of more powerful and optimized models (e.g., anticipated LLaMA-3)
Investigation of groundbreaking techniques like "neversleep" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Poppy Porpoise hint at the potential for AI to create entire imaginary realms and elaborate narratives.

The AI RP field remains a crucible of innovation, 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 coming years.

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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