In the past decade, the world of AI-assisted storytelling (RP) has undergone a dramatic transformation. What originated as fringe projects with primitive AI has blossomed into a dynamic landscape of tools, resources, and user groups. This overview examines the current landscape of AI RP, from widely-used tools to cutting-edge techniques.

The Growth of AI RP Platforms

Various platforms have come to prominence as popular focal points for AI-assisted storytelling and immersive storytelling. These allow users to engage in both conventional storytelling and more adult-oriented ERP (intimate character interactions) scenarios. Characters like Euryvale, or custom personalities like Lumimaid have become popular choices.

Meanwhile, other platforms have grown in popularity for hosting and sharing "character cards" – customizable AI entities that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.

Innovations in Language Models

The swift progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the legendary "HyperVerbal" (a hypothetical future model) highlight the increasing capabilities of AI in generating coherent and context-aware responses.

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

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the demand for privacy and user control. This has led to the rise of "private LLMs" and local hosting solutions. Various "LLM hosting" services have been created to satisfy this need.

Initiatives like Undi and implementations of Llama.cpp have made it possible for users to utilize powerful language models on their local machines. This "on-device AI" approach appeals to those concerned about data privacy or those who simply relish experimenting with AI systems.

Various tools have become widely adopted as user-friendly options for managing local models, including powerful 70B parameter versions. These larger models, while processing-heavy, offer improved performance for complex RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is known for its creativity and determination to challenge limits. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more dynamic and surprising characters.

Some users pursue "abiliterated" or "enhanced" models, targeting maximum creative freedom. However, this sparks ongoing ethical debates within the community.

Focused platforms have appeared to address specific niches or provide unique approaches to AI interaction, often with a focus on "data protection" policies. Companies like recursal.ai and featherless.ai are among those exploring innovative approaches chub in this space.

The Future of AI RP

As we look to the future, several patterns are emerging:

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 virtual universes and elaborate narratives.

The AI RP space remains a crucible of innovation, with collectives like IkariDev redefining the possibilities of what's achievable. As GPU technology evolves and techniques like neural compression boost capabilities, we can expect even more remarkable AI RP experiences in the not-so-distant tomorrow.

Whether you're a occasional storyteller or a passionate "quant" working on the next discovery in AI, the world of AI-powered RP offers limitless potential for innovation and discovery.