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


In the past decade, the world of AI-powered role-playing (RP) has experienced a significant evolution. What originated as niche experiments with primitive AI has developed into a vibrant ecosystem of tools, platforms, and user groups. This piece investigates the existing environment of AI RP, from popular platforms to cutting-edge techniques.

The Emergence of AI RP Platforms

Various tools have emerged as favored centers for AI-assisted storytelling and immersive storytelling. These allow users to engage in both classic role-playing and more risqué ERP (sensual storytelling) scenarios. Personas like Noromaid, or original creations like Poppy Porpoise have become popular choices.

Meanwhile, other websites have gained traction for hosting and sharing "character cards" – ready-to-use digital personas that users can engage. The IkariDev community has been notably active in crafting and spreading these cards.

Innovations in Language Models

The rapid evolution of large language models (LLMs) has been a crucial factor of AI RP's growth. Models like Llama.cpp and the fabled "Mythomax" (a hypothetical future model) showcase the growing potential of AI in creating coherent 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 confidentiality and individual oversight. This has led to the rise of "local LLMs" and local hosting solutions. Various "AI-as-a-Service" services have been created to satisfy this need.

Projects like Kobold AI and implementations of NeuralCore.cpp have made it achievable for users to utilize powerful language models on their own hardware. This "local LLM" approach attracts those worried about data privacy or those who simply relish customizing AI systems.

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

Breaking New Ground and Venturing into New Frontiers

The AI RP community is celebrated for its inventiveness and determination to break new ground. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more adaptable here and surprising characters.

Some users search for "abiliterated" or "enhanced" models, striving for maximum creative freedom. However, this sparks ongoing moral discussions within the community.

Niche platforms have emerged to cater to specific niches or provide novel 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 anticipate the future, several developments are emerging:

Increased focus on on-device and confidential AI solutions
Advancement of more capable and optimized models (e.g., rumored Quants)
Research of innovative techniques like "neversleep" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging 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 redefining the possibilities of what's achievable. As GPU technology advances and techniques like neural compression boost capabilities, we can expect even more remarkable AI RP experiences in the not-so-distant tomorrow.

Whether you're a casual role-player or a committed "quant" working on the next innovation in AI, the domain of AI-powered RP offers endless possibilities for imagination and adventure.

Leave a Reply

Your email address will not be published. Required fields are marked *