The Advancement of AI-Driven Interactive Storytelling: From Ancient Myths to Local 70B Models
In the last few years, the realm of AI-driven character interaction (RP) has seen a dramatic transformation. What began as experimental ventures with first-generation chatbots has grown into a vibrant ecosystem of applications, services, and communities. This overview examines the existing environment of AI RP, from widely-used tools to cutting-edge techniques.
The Growth of AI RP Platforms
Various services have emerged as well-liked centers for AI-assisted storytelling and role-play. These allow users to participate in both traditional RP and more risqué ERP (intimate character interactions) scenarios. Personas like Noromaid, or user-generated entities like Midnight Miqu have become community darlings.
Meanwhile, other websites have grown in popularity for distributing and exchanging "character cards" – customizable AI entities that users can interact with. The Backyard AI community has been particularly active in designing and spreading these cards.
Innovations in Language Models
The accelerated development of advanced AI systems (LLMs) has been a primary catalyst of AI RP's growth. Models like Llama.cpp and the fabled "Mythomax" (a theoretical future model) highlight the increasing capabilities of AI in generating consistent and environmentally cognizant responses.
Fine-tuning has become a crucial technique for tailoring these models to unique RP scenarios or character personalities. This approach allows for more nuanced and consistent interactions.
The Drive 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 on-premise model deployment. Various "LLM hosting" services have sprung up to meet this need.
Initiatives like Undi and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their local machines. This "self-hosted model" approach resonates with those focused on data privacy or those who simply relish customizing AI systems.
Various tools have grown in favor as intuitive options for managing local models, including advanced 70B parameter versions. These more sophisticated models, while processing-heavy, offer superior results for elaborate RP scenarios.
Breaking New Ground and Investigating New Frontiers
The AI RP community is recognized for its innovation and willingness to push boundaries. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more adaptable and surprising characters.
Some users pursue "unrestricted" or "obliterated" models, aiming for maximum creative freedom. However, this sparks ongoing moral discussions within the community.
Specialized platforms have surfaced to serve 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 read more Future of AI RP
As we envision the future, several developments are taking shape:
Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., anticipated 70B models)
Exploration of innovative techniques like "perpetual context" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities like Lumimaid hint at the potential for AI to produce entire fictional worlds and intricate narratives.
The AI RP field remains a hotbed of invention, with communities like Backyard AI expanding the limits of what's attainable. As GPU technology progresses and techniques like quantization enhance performance, we can expect even more impressive AI RP experiences in the coming years.
Whether you're a casual role-player or a committed "quant" working on the next innovation in AI, the domain of AI-powered RP offers limitless potential for innovation and exploration.