In recent years, the world of AI-assisted storytelling (RP) has seen a significant evolution. What started as fringe projects with primitive AI has grown into a thriving community of tools, platforms, and enthusiasts. This piece examines the current landscape of AI RP, from popular platforms to groundbreaking techniques.

The Emergence of AI RP Platforms

Various services have emerged as well-liked centers for AI-powered narrative creation and character interaction. These allow users to engage in both conventional storytelling and more mature ERP (sensual storytelling) scenarios. Characters like Noromaid, or user-generated entities like Lumimaid have become popular choices.

Meanwhile, other services have gained traction for sharing and sharing "character cards" – customizable AI entities 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 progression of advanced AI systems (LLMs) has been a primary catalyst of AI RP's growth. Models like LLaMA CPP and the mythical "OmniLingua" (a hypothetical future model) demonstrate the expanding prowess of AI in generating consistent and context-aware responses.

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

The Movement 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 development of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have been created to satisfy this need.

Projects like Undi and implementations of NeuralCore.cpp have made it achievable for users to utilize powerful language models on their own hardware. This "on-device AI" approach attracts those focused on data privacy or those who simply relish tinkering with AI systems.

Various tools have gained popularity as accessible options for deploying local models, including powerful 70B parameter versions. These more complex models, while processing-heavy, offer superior results for elaborate RP scenarios.

Breaking New Ground and Exploring New Frontiers

The AI RP community is known for its creativity and willingness to push boundaries. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more dynamic and unpredictable characters.

Some users seek out "uncensored" or "augmented" models, targeting maximum creative freedom. However, this provokes ongoing philosophical conversations within the community.

Focused services here have appeared 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
Development of more sophisticated and streamlined models (e.g., speculated LLaMA-3)
Research of groundbreaking techniques like "perpetual context" for maintaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Poppy Porpoise hint at the prospect for AI to create entire fictional worlds and intricate narratives.

The AI RP field remains a hotbed of advancement, with groups like Backyard AI expanding the limits of what's possible. 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 passionate "quant" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for imagination and exploration.