The Progression of AI-Powered Role-Playing: From Ancient Myths to Local 70B Models

In the last few years, the world of AI-assisted storytelling (RP) has experienced a remarkable shift. What originated as fringe projects with primitive AI has developed into a thriving community of tools, services, and enthusiasts. This piece investigates the present state of AI RP, from user favorites to innovative techniques.

The Growth of AI RP Platforms

Various platforms have risen as well-liked centers for AI-enhanced fiction writing and character interaction. These allow users to experience both traditional RP and more risqué ERP (sensual storytelling) scenarios. Avatars like Stheno, or user-generated entities like Midnight Miqu have become fan favorites.

Meanwhile, other services have become increasingly favored for distributing and sharing "character cards" – ready-to-use digital personas that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.

Innovations in Language Models

The accelerated development of advanced AI systems (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA-3 and the mythical "OmniLingua" (a hypothetical future model) highlight the increasing capabilities of AI in producing consistent and environmentally cognizant responses.

AI personalization has become a crucial technique for adapting these models to particular RP scenarios or character personalities. This method allows for more sophisticated and stable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the demand for privacy and personal autonomy. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "LLM hosting" services have been created to satisfy this need.

Endeavors like Kobold AI and implementations of Llama.cpp have made it possible for users to run powerful language models on their own hardware. This "local LLM" approach appeals to those concerned about data privacy or those who simply relish customizing AI systems.

Various tools have grown in favor as intuitive options for managing local models, including advanced 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for intricate RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is known for its inventiveness and determination to challenge limits. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more dynamic and surprising characters.

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

Specialized tools 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 anticipate the future, several trends are becoming apparent:

Growing focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated 70B models)
Exploration 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 possibility for AI to generate entire virtual universes and expansive narratives.

The AI RP domain remains a hotbed of advancement, with communities like Backyard AI pushing the boundaries of what's attainable. As GPU technology advances and techniques like cognitive optimization improve efficiency, we can expect even more astounding 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.