In the past decade, the realm of AI-assisted storytelling (RP) has experienced a remarkable shift. What started as experimental ventures with first-generation chatbots has blossomed into a vibrant ecosystem of applications, services, and communities. This overview explores the present state of AI RP, from popular platforms to groundbreaking techniques.

The Growth of AI RP Platforms

Various services have emerged as well-liked hubs for AI-assisted storytelling and immersive storytelling. These allow users to participate in both traditional RP and more mature ERP (sensual storytelling) scenarios. Avatars like Euryvale, or custom personalities like Lumimaid have become popular choices.

Meanwhile, other platforms have grown in popularity for distributing and exchanging "character cards" – customizable AI entities that users can interact with. The IkariDev community has been notably active in creating and distributing these cards.

Breakthroughs in Language Models

The rapid evolution of neural language processors (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the fabled "Mythomax" (a theoretical future model) demonstrate the expanding prowess of AI in generating coherent and situationally appropriate responses.

AI personalization has become a vital technique for adapting these models to specific 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 "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have emerged to address this need.

Initiatives like Undi and implementations of NeuralCore.cpp have made it feasible for users to utilize powerful language models on their local machines. 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 options for managing local models, including powerful 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 break new ground. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more versatile 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.

Focused services have emerged to address 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 look to the future, several patterns are taking shape:

Increased focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated LLaMA-3)
Research of innovative techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Poppy Porpoise hint at the prospect for AI to create entire here fictional worlds and intricate narratives.

The AI RP field remains a nexus of invention, with communities like Chaotic Soliloquy pushing the boundaries of what's attainable. As GPU technology advances and techniques like cognitive optimization enhance performance, we can expect even more astounding AI RP experiences in the coming years.

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