The Progression of AI-Powered Role-Playing: From Norse Legends to Local 70B Models


In recent years, the domain of AI-assisted storytelling (RP) has undergone a significant evolution. What began as niche experiments with first-generation chatbots has grown into a thriving community of applications, services, and communities. This overview explores the current landscape of AI RP, from widely-used tools to cutting-edge techniques.

The Emergence of AI RP Platforms

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

Meanwhile, other services have become increasingly favored for hosting 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 accelerated development of advanced AI systems (LLMs) has been a primary catalyst of AI RP's proliferation. Models like LLaMA-3 and the legendary "OmniLingua" (a hypothetical future model) highlight the increasing capabilities of AI in generating consistent and environmentally cognizant responses.

AI personalization has become a crucial technique for adapting these models to particular RP scenarios or character personalities. This method allows for more sophisticated and stable interactions.

The Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the demand for privacy and user control. This has led to the rise of "local LLMs" and on-premise model deployment. Various "Model Deployment" services have been created to satisfy this need.

Projects like Kobold AI and implementations of Llama.cpp have made it possible for users to run 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 intuitive options for managing local models, including powerful 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance 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 Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more adaptable and spontaneous characters.

Some users pursue "uncensored" or "augmented" models, striving for maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Niche platforms have surfaced to serve 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 anticipate the future, several patterns are taking shape:

Increased focus on on-device and confidential AI solutions
Creation of more sophisticated and optimized models (e.g., rumored 70B models)
Exploration of innovative techniques like "neversleep" read more for sustaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the potential for AI to create entire fictional worlds and elaborate narratives.

The AI RP domain remains a crucible of advancement, with communities like Backyard AI pushing the boundaries of what's achievable. As GPU technology advances and techniques like neural compression 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 committed "neural engineer" working on the next breakthrough in AI, the realm of AI-powered RP offers infinite opportunities for creativity and discovery.

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