In the past decade, the domain of AI-driven character interaction (RP) has undergone a remarkable shift. What began as fringe projects with first-generation chatbots has blossomed into a thriving community of platforms, resources, and enthusiasts. This overview explores the present state of AI RP, from widely-used tools to innovative techniques.

The Growth of AI RP Platforms

Various platforms have risen as popular centers for AI-assisted storytelling and immersive storytelling. These allow users to participate in both conventional storytelling and more mature ERP (erotic role-play) scenarios. Personas like Noromaid, or original creations like Poppy Porpoise have become popular choices.

Meanwhile, other platforms have grown in popularity for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been notably active in creating 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 growth. Models like Llama.cpp and the legendary "OmniLingua" (a hypothetical future model) highlight the expanding prowess of AI in creating logical and context-aware responses.

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

The Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the need for data privacy and individual oversight. This has led to the emergence of "local LLMs" and local hosting solutions. Various "LLM hosting" services have been created to satisfy this need.

Initiatives like Undi and implementations of NeuralCore.cpp have made it possible for users to run powerful language models on their local machines. This "self-hosted model" approach attracts those concerned about data privacy or those who simply enjoy customizing AI systems.

Various tools have become widely adopted as accessible options for running local models, including advanced 70B parameter versions. These more complex models, while computationally intensive, offer superior results for intricate RP scenarios.

Pushing Boundaries and Venturing into New Frontiers

The AI RP community is recognized 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 "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this sparks 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 "data protection" policies. Companies like recursal.ai and featherless.ai are among those exploring innovative approaches in this space.

The Future of AI RP

As we anticipate the future, several trends are becoming apparent:

Growing focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated 70B models)
Exploration of groundbreaking techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities 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 possible. As GPU technology evolves and techniques like quantization boost capabilities, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.

Whether you're a casual role-player or a passionate get more info "quant" working on the next innovation in AI, the domain of AI-powered RP offers limitless potential for innovation and exploration.