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


In the last few years, the world of AI-driven character interaction (RP) has seen a remarkable shift. What originated as experimental ventures with early language models has blossomed into a vibrant ecosystem of tools, platforms, and communities. This overview investigates the current landscape of AI RP, from popular platforms to cutting-edge techniques.

The Growth of AI RP Platforms

Various tools have risen as favored focal points for AI-enhanced fiction writing and immersive storytelling. These allow users to participate in both traditional RP and more adult-oriented ERP (erotic role-play) scenarios. Characters like Noromaid, or user-generated entities like Lumimaid have become popular choices.

Meanwhile, other services have gained traction for distributing and sharing "character cards" – pre-made AI personalities that users can converse with. The Chaotic Soliloquy community has been notably active in creating and spreading these cards.

Innovations in Language Models

The accelerated evolution of neural language processors (LLMs) has been a crucial factor of AI RP's proliferation. Models like Llama.cpp and the fabled "Mythomax" (a hypothetical future model) showcase the growing potential of AI in creating consistent and environmentally cognizant responses.

Fine-tuning has become a essential technique for adjusting these models to specific RP scenarios or character personalities. This method allows for more refined and consistent interactions.

The Drive for Privacy and Control

As AI RP has gained mainstream appeal, so too has the demand for privacy and personal autonomy. This has led to the development of "private LLMs" and local hosting solutions. Various "LLM hosting" services have emerged to address this need.

Endeavors like NeverSleep and implementations of Llama.cpp have made it possible for users to operate powerful language models on their personal devices. This "local LLM" approach appeals to those worried about data privacy or those who simply appreciate experimenting with AI systems.

Various tools have become widely adopted as intuitive options for managing local models, including advanced 70B parameter versions. These more sophisticated models, while processing-heavy, offer superior results for elaborate RP scenarios.

Exploring Limits and Investigating New Frontiers

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

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

Niche platforms have surfaced to serve specific niches or provide alternative approaches to AI interaction, often with a focus on "data protection" 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:

Growing focus on on-device and confidential AI solutions
Creation of more sophisticated and streamlined models (e.g., speculated 70B models)
Exploration of novel techniques like "eternal memory" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Characters like Euryvale hint at the possibility for AI to generate entire fictional worlds and intricate narratives.

The AI RP field remains a hotbed of advancement, with groups like IkariDev pushing the click here boundaries of what's attainable. As GPU technology progresses and techniques like quantization boost capabilities, we can expect even more remarkable AI RP experiences in the near future.

Whether you're a curious explorer or a committed "quant" working on the next discovery in AI, the realm of AI-powered RP offers infinite opportunities for imagination and exploration.

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