In the last few years, the domain of AI-assisted storytelling (RP) has seen a dramatic transformation. What started as experimental ventures with first-generation chatbots has developed into a dynamic landscape of tools, services, and user groups. This overview investigates the current landscape of AI RP, from widely-used tools to groundbreaking techniques.

The Growth of AI RP Platforms

Various tools have emerged as popular hubs for AI-powered narrative creation and immersive storytelling. These allow users to experience both conventional storytelling and more adult-oriented ERP (intimate character interactions) scenarios. Avatars like Noromaid, or custom personalities like Midnight Miqu have become popular choices.

Meanwhile, other websites have become increasingly favored for distributing and exchanging "character cards" – customizable AI entities that users can converse with. The Backyard AI community has been notably active in designing and distributing these cards.

Innovations in Language Models

The rapid development of neural language processors (LLMs) has been a key driver of AI RP's proliferation. Models like Llama.cpp and the mythical "OmniLingua" (a speculative future model) demonstrate the increasing capabilities of AI in creating coherent and environmentally cognizant responses.

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

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the call for privacy and personal autonomy. This has led to the development of "local LLMs" and local hosting solutions. Various "Model Deployment" services have sprung up to address this need.

Endeavors like Kobold AI and implementations of NeuralCore.cpp have click here made it feasible for users to utilize powerful language models on their own hardware. This "on-device AI" approach resonates with those concerned about data privacy or those who simply appreciate customizing AI systems.

Various tools have gained popularity as user-friendly options for deploying local models, including advanced 70B parameter versions. These more sophisticated models, while computationally intensive, offer improved performance for intricate RP scenarios.

Breaking New Ground and Exploring New Frontiers

The AI RP community is known for its innovation and eagerness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more dynamic and unpredictable characters.

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

Niche services have appeared to serve specific niches or provide unique approaches to AI interaction, often with a focus on "privacy-first" 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 taking shape:

Increased focus on local and private AI solutions
Development of more powerful and efficient models (e.g., rumored Quants)
Research of groundbreaking techniques like "perpetual context" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities like Lumimaid hint at the prospect for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a crucible of innovation, with collectives like IkariDev redefining the possibilities of what's possible. As GPU technology evolves and techniques like quantization boost capabilities, we can expect even more impressive 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 limitless potential for innovation and exploration.