The Progression of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models

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In the last few years, the world of AI-driven character interaction (RP) has seen a significant evolution. What started as fringe projects with first-generation chatbots has developed into a dynamic landscape of platforms, services, and communities. This article investigates the existing environment of AI RP, from user favorites to innovative techniques.

The Rise of AI RP Platforms

Various tools have risen as popular focal points for AI-enhanced fiction writing and immersive storytelling. These allow users to participate in both traditional RP and more risqué ERP (intimate character interactions) scenarios. Personas like Stheno, or custom personalities like Poppy Porpoise have become fan favorites.

Meanwhile, other services have gained traction for distributing and sharing "character cards" – customizable AI entities that users can interact with. The Backyard AI community has been particularly active in crafting and sharing these cards.

Innovations in Language Models

The rapid evolution of neural language processors (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA-3 and the mythical "OmniLingua" (a hypothetical future model) showcase the growing potential of AI in creating coherent and situationally appropriate responses.

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

The Push for Privacy and Control

As AI RP has become more widespread, so too has the need for data privacy and user control. This has led to the rise of "local LLMs" and local hosting solutions. Various "AI-as-a-Service" services have emerged to satisfy this need.

Endeavors like NeverSleep and implementations of CogniScript.cpp have made it achievable for users to run powerful language models on their own hardware. This "local LLM" approach appeals to those concerned about data privacy or those who simply enjoy tinkering with AI systems.

Various tools have gained popularity as user-friendly options for running local models, including advanced 70B parameter versions. These more sophisticated models, while processing-heavy, offer superior results for intricate RP scenarios.

Exploring Limits and Investigating New Frontiers

The AI RP community is known for its creativity and determination to break new ground. Tools like Neural Path Optimization allow for precise manipulation over AI outputs, potentially leading to more dynamic and surprising characters.

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

Focused services have emerged to address specific niches or provide unique approaches to AI interaction, often with a focus on "no logging" 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:

Growing focus on local and private AI solutions
Advancement of more capable and streamlined models (e.g., speculated Quants)
Investigation of groundbreaking techniques like "eternal memory" for maintaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Poppy Porpoise hint at the possibility for AI to produce entire fictional worlds and intricate narratives.

The AI RP space remains a crucible of advancement, with communities like Chaotic Soliloquy redefining the possibilities of what's achievable. As GPU technology evolves and techniques like quantization enhance performance, we llm hosting can expect even more astounding AI RP experiences in the coming years.

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

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