The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the past decade, the realm of AI-assisted storytelling (RP) has undergone a dramatic transformation. What started as experimental ventures with primitive AI has developed into a vibrant ecosystem of platforms, resources, and enthusiasts. This overview investigates the existing environment of AI RP, from user favorites to groundbreaking techniques.
The Growth 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 classic role-playing and more mature ERP (sensual storytelling) scenarios. Characters like Stheno, or custom personalities like Midnight Miqu have become community darlings.
Meanwhile, other services have gained traction for distributing and circulating "character cards" – pre-made AI personalities that users can converse with. The Backyard AI community has been especially active in creating and sharing these cards.
Breakthroughs in Language Models
The swift development of neural language processors (LLMs) has been a crucial factor of AI RP's growth. Models like LLaMA CPP and the legendary "Mythomax" (a hypothetical future model) showcase the expanding prowess of AI in producing coherent and environmentally cognizant responses.
Fine-tuning has become a vital technique for tailoring these models to unique RP scenarios or character personalities. This method allows for more nuanced and reliable interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the demand for confidentiality and user control. This has led to the emergence of "private LLMs" and self-hosted AI options. Various "LLM hosting" services have emerged to meet this need.
Initiatives like NeverSleep and implementations of NeuralCore.cpp have made it achievable for users to run powerful language models on their personal devices. This "self-hosted model" approach attracts those focused on data privacy or those who simply relish tinkering with AI systems.
Various tools have become widely adopted as intuitive options for running local models, including powerful 70B parameter versions. These more sophisticated models, while computationally intensive, offer improved performance for intricate RP scenarios.
Breaking New Ground and Exploring New Frontiers
The AI RP community is celebrated for its inventiveness and willingness to challenge limits. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more adaptable and spontaneous characters.
Some users here pursue "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this sparks ongoing moral discussions within the community.
Specialized tools 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 developments are emerging:
Heightened focus on self-hosted and secure AI solutions
Development of more sophisticated and optimized models (e.g., rumored Quants)
Investigation of novel techniques like "eternal memory" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Euryvale hint at the possibility for AI to generate entire imaginary realms and expansive narratives.
The AI RP domain remains a hotbed of advancement, with groups like Backyard AI expanding the limits of what's possible. As GPU technology progresses and techniques like quantization 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 passionate "quant" working on the next innovation in AI, the world of AI-powered RP offers limitless potential for innovation and exploration.