The Advancement of AI-Enabled 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 early language models has grown into a dynamic landscape of tools, platforms, and user groups. This piece investigates the current landscape of AI RP, from popular platforms to innovative techniques.
The Growth of AI RP Platforms
Various tools have come to prominence as popular hubs for AI-assisted storytelling and character interaction. These allow users to participate in both classic role-playing and more risqué ERP (sensual storytelling) scenarios. Personas like Stheno, or user-generated entities like Lumimaid have become fan favorites.
Meanwhile, other platforms have gained traction for hosting and circulating "character cards" – customizable AI entities that users can converse with. The Backyard AI community has been especially active in designing and sharing these cards.
Advancements in Language Models
The accelerated progression of advanced AI systems (LLMs) has been a crucial factor of AI RP's growth. Models like LLaMA CPP and the fabled "OmniLingua" (a speculative future model) highlight the expanding prowess of AI in producing coherent and environmentally cognizant responses.
Model customization has become a crucial technique for adjusting these models to particular RP scenarios or character personalities. This process allows for more refined and reliable interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the call for confidentiality and user control. This has led to the development of "local LLMs" and on-premise model deployment. Various "AI-as-a-Service" services have sprung up to address this need.
Projects like NeverSleep and implementations of Llama.cpp have made it achievable for users to run powerful language models on their local machines. This "local LLM" approach attracts those concerned about data privacy or those who simply appreciate customizing AI systems.
Various tools have become widely adopted as intuitive options for running local models, including powerful 70B parameter versions. These larger models, while GPU-demanding, offer superior results for complex RP scenarios.
Exploring Limits and Venturing into New Frontiers
The AI RP community is known for its innovation and willingness to challenge limits. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more dynamic and spontaneous characters.
Some users search for "abiliterated" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing moral discussions within the community.
Niche tools have surfaced to cater to specific niches or provide alternative approaches to AI interaction, often with a focus website on "privacy-first" 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 becoming apparent:
Growing focus on self-hosted and secure AI solutions
Creation of more sophisticated and optimized models (e.g., rumored Quants)
Investigation of groundbreaking techniques like "perpetual context" 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 generate entire virtual universes and elaborate narratives.
The AI RP domain remains a hotbed of advancement, with communities like Chaotic Soliloquy expanding the limits of what's attainable. As GPU technology advances and techniques like quantization enhance performance, we can expect even more remarkable AI RP experiences in the near future.
Whether you're a casual role-player or a passionate "AI researcher" working on the next breakthrough in AI, the world of AI-powered RP offers endless possibilities for innovation and discovery.