In the past decade, the realm of AI-assisted storytelling (RP) has seen a significant evolution. What started as experimental ventures with early language models has grown into a dynamic landscape of applications, resources, and communities. This article examines the present state of AI RP, from user favorites to groundbreaking techniques.

The Growth of AI RP Platforms

Various tools have emerged as popular hubs for AI-assisted storytelling and character interaction. These allow users to participate in both classic role-playing and more mature ERP (intimate character interactions) scenarios. Avatars like Euryvale, or user-generated entities like Poppy Porpoise have become community darlings.

Meanwhile, other services have grown in popularity for hosting and sharing "character cards" – pre-made AI personalities that users can converse with. The Backyard AI community has been notably active in designing and sharing these cards.

Advancements in Language Models

The accelerated progression of advanced AI systems (LLMs) has been a crucial factor of AI RP's growth. Models like LLaMA CPP and the legendary "Mythomax" (a hypothetical future model) highlight the growing potential of AI in generating logical and situationally appropriate responses.

Fine-tuning has become a vital technique for tailoring these models to specific RP scenarios or character personalities. This approach allows for more nuanced and stable interactions.

The Drive for Privacy and Control

As AI RP has grown in popularity, so too has the need for privacy and individual oversight. This has led to the emergence of "private LLMs" and on-premise model deployment. Various "AI-as-a-Service" services have sprung up to address this need.

Endeavors like Undi and implementations of CogniScript.cpp have made it feasible for users to utilize powerful language models on their personal devices. This "self-hosted model" approach attracts those focused on data privacy or those who simply enjoy experimenting with AI systems.

Various tools have gained popularity as accessible options for managing local models, including impressive 70B parameter versions. These more complex models, while processing-heavy, offer improved performance for elaborate RP scenarios.

Pushing Boundaries and Investigating New Frontiers

The AI RP community is recognized for its inventiveness and willingness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more versatile more info and spontaneous characters.

Some users search for "uncensored" or "obliterated" models, striving for maximum creative freedom. However, this sparks ongoing philosophical conversations within the community.

Focused platforms have emerged 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 envision the future, several patterns are becoming apparent:

Increased focus on local and private AI solutions
Development of more powerful and efficient models (e.g., speculated LLaMA-3)
Exploration of innovative techniques like "perpetual context" for preserving long-term context
Combination of AI with other technologies (VR, voice synthesis) for more engaging experiences
Personas like Poppy Porpoise hint at the potential for AI to generate entire fictional worlds and expansive narratives.

The AI RP domain remains a nexus of advancement, with collectives like Chaotic Soliloquy expanding the limits of what's achievable. As GPU technology progresses and techniques like quantization improve efficiency, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.

Whether you're a curious explorer or a committed "quant" working on the next breakthrough in AI, the domain of AI-powered RP offers infinite opportunities for imagination and exploration.