The Evolution of AI-Driven Role-Playing: From Ancient Myths to Local 70B Models

In the last few years, the world of AI-driven character interaction (RP) has experienced a remarkable shift. What began as experimental ventures with primitive AI has developed into a vibrant ecosystem of platforms, platforms, and user groups. This overview examines the existing environment of AI RP, from popular platforms to groundbreaking techniques.

The Rise of AI RP Platforms

Various services have come to prominence as popular centers for AI-enhanced fiction writing and character interaction. These allow users to experience both traditional RP and more mature ERP (intimate character interactions) scenarios. Characters like Stheno, or user-generated entities like Midnight Miqu have become popular choices.

Meanwhile, other platforms have gained traction for sharing and exchanging "character cards" – ready-to-use digital personas that users can interact with. The Backyard AI community has been particularly active in crafting and sharing these cards.

Breakthroughs 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 theoretical future model) highlight the increasing capabilities of AI in producing logical and context-aware responses.

Model customization has become a vital technique for adapting these models to particular RP scenarios or character personalities. This method allows for more refined and consistent interactions.

The Push for Privacy and Control

As AI RP has become more widespread, so too has the need for data privacy and user control. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "Model Deployment" services have sprung up to meet this need.

Projects like Undi and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their personal devices. This "self-hosted model" approach resonates with those focused on data privacy or those who simply relish customizing AI systems.

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

Exploring Limits and Venturing into New Frontiers

The AI RP community is celebrated for its creativity and determination to break new ground. Tools like Neural Path Optimization allow for precise manipulation over AI outputs, potentially leading to more dynamic and unpredictable characters.

Some users seek out "abiliterated" or "enhanced" models, striving for maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Niche platforms have surfaced to cater to specific niches or provide alternative 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 envision the future, several patterns are taking shape:

Growing focus on local and private AI solutions
Advancement of more sophisticated and optimized models (e.g., speculated LLaMA-3)
Research of innovative techniques like "perpetual context" for maintaining 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 communities like Backyard AI redefining the possibilities of what's achievable. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more astounding AI RP experiences in the coming years.

Whether you're a casual role-player or a committed "quant" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and adventure.