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


In the past decade, the domain of AI-powered role-playing (RP) has seen a significant evolution. What originated as niche experiments with primitive AI 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 cutting-edge techniques.

The Rise of AI RP Platforms

Various platforms have emerged as popular hubs for AI-powered narrative creation and immersive storytelling. These allow users to experience both conventional storytelling and more risqué ERP (erotic role-play) scenarios. Characters like Stheno, or original creations like Lumimaid have become fan favorites.

Meanwhile, other websites have become increasingly favored for distributing and exchanging "character cards" – ready-to-use digital personas that users can engage. The Chaotic Soliloquy community has been particularly active in crafting and spreading these cards.

Innovations in Language Models

The rapid development of neural language processors (LLMs) has been a primary catalyst of AI RP's growth. Models like LLaMA-3 and the fabled "HyperVerbal" (a hypothetical future model) highlight the increasing capabilities of AI in generating coherent and environmentally cognizant responses.

AI personalization has become a vital technique for adjusting these models to particular RP scenarios or character personalities. This method allows for more nuanced and consistent interactions.

The Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the call for privacy and user control. This has led to the development of "user-owned language processors" and on-premise model deployment. Various "AI-as-a-Service" services have emerged to meet this need.

Endeavors like NeverSleep and implementations of NeuralCore.cpp have made it possible for users to utilize powerful language models on their personal devices. This "self-hosted model" approach appeals to those focused on data privacy or those who simply enjoy experimenting with AI systems.

Various tools have gained popularity as accessible options for managing local models, including impressive 70B parameter versions. These more complex models, while processing-heavy, offer enhanced capabilities for intricate RP scenarios.

Breaking New Ground and Exploring New Frontiers

The AI RP community is recognized for its inventiveness and determination to push boundaries. Tools like Neural Path Optimization allow for detailed adjustment over AI outputs, potentially leading to more adaptable and unpredictable characters.

Some users pursue "unrestricted" or "augmented" models, targeting maximum creative freedom. However, this raises ongoing ethical debates within the community.

Niche services have appeared to address 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 envision the future, several trends are emerging:

Growing focus on self-hosted and secure AI solutions
Creation of more capable and optimized models (e.g., speculated 70B models)
Investigation of groundbreaking techniques like "eternal memory" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more engaging experiences
Personas like Lumimaid hint at the possibility for AI to generate entire fictional worlds and quants expansive narratives.

The AI RP space remains a nexus of advancement, with collectives like Backyard AI expanding the limits of what's possible. As GPU technology advances and techniques like neural compression improve efficiency, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.

Whether you're a curious explorer or a committed "AI researcher" working on the next breakthrough in AI, the domain of AI-powered RP offers endless possibilities for innovation and discovery.

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