The Progression of AI-Driven Interactive Storytelling: From Fimbulvetr to Local 70B Models
In the past decade, the domain of AI-driven character interaction (RP) has experienced a dramatic transformation. What began as fringe projects with first-generation chatbots has developed into a dynamic landscape of applications, resources, and enthusiasts. This piece examines the existing environment of AI RP, from widely-used tools to innovative techniques.
The Rise of AI RP Platforms
Various tools have come to prominence as favored centers for AI-powered narrative creation and character interaction. These allow users to participate in both traditional RP and more adult-oriented ERP (sensual storytelling) scenarios. Characters like Noromaid, or user-generated entities like Lumimaid have become popular choices.
Meanwhile, other services have gained traction for sharing and sharing "character cards" – customizable AI entities that users can engage. The Backyard AI community has been especially active in crafting and distributing these cards.
Breakthroughs in Language Models
The swift progression of advanced AI systems (LLMs) has been a primary catalyst of AI RP's expansion. Models like Llama.cpp and the legendary "Mythomax" (a speculative future model) showcase the increasing capabilities of AI in generating logical and environmentally cognizant responses.
AI personalization has become a vital technique for tailoring these models to particular RP scenarios or character personalities. This process allows for more nuanced and reliable interactions.
The Drive for Privacy and Control
As AI RP has grown in popularity, so too has the need for data privacy and personal autonomy. This has led to the rise of "private LLMs" and self-hosted AI options. Various "LLM hosting" services have been created to address this need.
Projects like NeverSleep and implementations of NeuralCore.cpp have made it achievable for users to operate powerful language models on their own hardware. This "self-hosted model" approach appeals to those focused on data privacy or those who simply appreciate customizing AI systems.
Various tools have become widely adopted as intuitive options for deploying local models, including advanced 70B parameter more info versions. These more complex models, while processing-heavy, offer improved performance for elaborate RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is known for its innovation and determination to push boundaries. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more dynamic and spontaneous characters.
Some users search for "uncensored" or "obliterated" models, striving for maximum creative freedom. However, this provokes ongoing ethical debates within the community.
Specialized services have appeared to serve 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 look to 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 LLaMA-3)
Exploration of groundbreaking techniques like "eternal memory" for preserving long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities like Euryvale hint at the possibility for AI to generate entire fictional worlds and expansive narratives.
The AI RP field remains a hotbed of advancement, with groups like IkariDev pushing the boundaries of what's attainable. As GPU technology progresses and techniques like quantization boost capabilities, we can expect even more remarkable AI RP experiences in the near future.
Whether you're a occasional storyteller or a dedicated "neural engineer" working on the next innovation in AI, the domain of AI-powered RP offers limitless potential for innovation and discovery.