The Evolution of AI-Powered Role-Playing: From Ancient Myths to Local 70B Models


In the last few years, the domain of AI-assisted storytelling (RP) has seen a remarkable shift. What began as niche experiments with first-generation chatbots has developed into a vibrant ecosystem of tools, services, and user groups. This piece examines the existing environment of AI RP, from user favorites to groundbreaking techniques.

The Growth of AI RP Platforms

Various platforms have emerged as popular focal points for AI-assisted storytelling and role-play. These allow users to engage in both traditional RP and more adult-oriented ERP (sensual storytelling) scenarios. Personas like Euryvale, or original creations like Lumimaid have become fan favorites.

Meanwhile, other websites have grown in popularity for hosting and circulating "character cards" – ready-to-use digital personas that users can interact with. The IkariDev community has been particularly active in crafting and sharing these cards.

Breakthroughs in Language Models

The rapid progression of large language models (LLMs) has been a primary catalyst of AI RP's growth. Models like LLaMA CPP and the mythical "OmniLingua" (a hypothetical future model) demonstrate the expanding prowess of AI in generating consistent and context-aware responses.

Model customization has become a vital technique for adapting these models to particular RP scenarios or character personalities. This approach allows for more nuanced and reliable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the demand for confidentiality and individual oversight. This has led to the rise of "local LLMs" and local hosting solutions. Various "Model Deployment" services have sprung up to meet this need.

Endeavors like Kobold AI 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 concerned about data privacy or those who simply enjoy tinkering with AI systems.

Various tools have grown in favor as intuitive options for managing local models, including advanced 70B parameter versions. These more complex models, while GPU-demanding, offer enhanced capabilities for complex RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is celebrated for its inventiveness and eagerness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more adaptable and unpredictable characters.

Some users search for "uncensored" or "augmented" models, striving for maximum creative freedom. However, this raises ongoing quants moral discussions within the community.

Specialized tools have emerged to address specific niches or provide alternative 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 look to the future, several patterns are emerging:

Growing focus on on-device and confidential AI solutions
Development of more capable and streamlined models (e.g., rumored 70B models)
Exploration of innovative techniques like "eternal memory" for maintaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the possibility for AI to produce entire virtual universes and expansive narratives.

The AI RP field remains a nexus of advancement, with communities like Chaotic Soliloquy pushing the boundaries of what's possible. As GPU technology progresses and techniques like neural compression boost capabilities, we can expect even more impressive AI RP experiences in the near future.

Whether you're a occasional storyteller or a committed "neural engineer" working on the next discovery in AI, the domain of AI-powered RP offers limitless potential for imagination and discovery.

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