In recent years, the domain of AI-assisted storytelling (RP) has undergone a remarkable shift. What started as experimental ventures with primitive AI has blossomed into a dynamic landscape of tools, services, and communities. This piece investigates the present state of AI RP, from user favorites to innovative techniques.

The Growth of AI RP Platforms

Various platforms have risen as well-liked hubs for AI-enhanced fiction writing and character interaction. These allow users to experience both traditional RP and more mature ERP (erotic role-play) scenarios. Personas like Stheno, or user-generated entities like Midnight Miqu have become popular choices.

Meanwhile, other platforms have grown in popularity for distributing and sharing "character cards" – ready-to-use digital personas that users can converse with. The Backyard AI community has been particularly active in creating and distributing these cards.

Innovations in Language Models

The accelerated progression of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the fabled "HyperVerbal" (a hypothetical future model) showcase the growing potential of AI in producing logical and environmentally cognizant responses.

AI personalization has become a crucial technique for adapting these models to specific RP scenarios or character personalities. This process allows for more nuanced and consistent interactions.

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "local LLMs" and self-hosted AI options. Various "Model Deployment" services have been created to satisfy this need.

Endeavors like Undi and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their own hardware. This "local LLM" approach appeals to those focused on data privacy or those who simply relish customizing AI systems.

Various tools have grown in favor as accessible options for deploying local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer superior results for intricate RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is celebrated for its inventiveness and eagerness to push boundaries. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more adaptable and spontaneous characters.

Some users seek out "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.

Specialized tools have appeared to cater to specific niches or provide novel 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 developments are emerging:

Heightened focus on self-hosted and secure AI solutions
Advancement of more capable and efficient models (e.g., anticipated LLaMA-3)
Research of novel techniques like "eternal memory" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Poppy Porpoise hint at the potential for AI to generate entire fictional worlds and elaborate narratives.

The AI RP space remains a crucible of innovation, with groups like Backyard AI expanding the limits of what's attainable. As GPU technology advances and techniques like cognitive optimization improve efficiency, 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 innovation in get more info AI, the domain of AI-powered RP offers endless possibilities for imagination and adventure.