The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the last few years, the world of AI-assisted storytelling (RP) has seen a dramatic transformation. What started as experimental ventures with first-generation chatbots has developed into a thriving community of applications, services, and communities. This overview explores the existing environment of AI RP, from widely-used tools to cutting-edge techniques.
The Growth of AI RP Platforms
Various platforms have come to prominence as popular centers for AI-powered narrative creation and role-play. These allow users to participate in both traditional RP and more mature ERP (sensual storytelling) scenarios. Avatars like Stheno, or custom personalities like Lumimaid have become community darlings.
Meanwhile, other websites have gained traction for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been notably active in creating and distributing these cards.
Breakthroughs in Language Models
The accelerated development of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like LLaMA CPP and the fabled "Mythomax" (a speculative future model) showcase the growing potential of AI in producing consistent and environmentally cognizant responses.
AI personalization has become a vital technique for adjusting these models to unique RP scenarios or character personalities. This approach allows for more nuanced and stable interactions.
The Movement for Privacy and Control
As AI RP has grown in popularity, so too has the demand for data privacy and individual oversight. This has led to the development of "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have sprung up to meet this need.
Endeavors like NeverSleep and implementations of Llama.cpp have made it achievable for users to operate powerful language models on their local machines. This "on-device AI" approach resonates with those worried about data privacy or those who simply relish tinkering with AI systems.
Various tools have grown in favor as user-friendly options for deploying local models, including advanced 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 willingness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more versatile and surprising characters.
Some users seek out "uncensored" or "enhanced" models, targeting maximum creative freedom. However, this provokes ongoing ethical debates within the community.
Specialized services have appeared to address specific niches or provide novel 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 look to the future, several developments are taking shape:
Growing focus on on-device and confidential AI solutions
Advancement of more sophisticated and streamlined models (e.g., anticipated Quants)
Exploration of novel techniques like "neversleep" for maintaining long-term context
Integration of AI with other here technologies (VR, voice synthesis) for more immersive experiences
Characters like Poppy Porpoise hint at the prospect for AI to produce entire virtual universes and intricate narratives.
The AI RP domain remains a nexus of invention, with groups like Chaotic Soliloquy expanding the limits of what's achievable. As GPU technology advances and techniques like quantization improve efficiency, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.
Whether you're a occasional storyteller or a committed "quant" working on the next breakthrough in AI, the domain of AI-powered RP offers infinite opportunities for imagination and exploration.