The Advancement of AI-Driven Interactive Storytelling: From Ancient Myths to Local 70B Models

In recent years, the domain of AI-driven character interaction (RP) has undergone a dramatic transformation. What began as fringe projects with early language models has blossomed into a thriving community of platforms, services, and user groups. This piece examines the present state of AI RP, from widely-used tools to innovative techniques.

The Emergence of AI RP Platforms

Various services have risen as favored centers for AI-powered narrative creation and immersive storytelling. These allow users to experience both conventional storytelling and more risqué ERP (sensual storytelling) scenarios. Personas like Stheno, or original creations like Midnight Miqu have become popular choices.

Meanwhile, other services have grown in popularity for hosting and circulating "character cards" – customizable AI entities that users can engage. The IkariDev community has been particularly active in crafting and distributing these cards.

Advancements in Language Models

The accelerated evolution of large language models (LLMs) has been a primary catalyst of AI RP's expansion. Models like LLaMA-3 and the fabled "OmniLingua" (a speculative future model) highlight the increasing capabilities of AI in producing logical and context-aware responses.

AI personalization has become a crucial technique for tailoring these models to unique RP scenarios or character personalities. This process allows for more sophisticated and reliable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the need for confidentiality and personal autonomy. This has led to the emergence of "private LLMs" and on-premise model deployment. Various "LLM hosting" services have emerged to satisfy this need.

Endeavors like Kobold AI and implementations of NeuralCore.cpp have made it feasible for users to utilize powerful language models on their local machines. This "local LLM" approach appeals to those worried about data privacy or those who simply appreciate customizing AI systems.

Various tools have grown in favor as user-friendly options for running local models, including impressive 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for elaborate RP scenarios.

Breaking New Ground and Venturing into New Frontiers

The AI RP community is celebrated for its inventiveness and determination to break new ground. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more adaptable and surprising characters.

Some users search for "abiliterated" or "augmented" models, striving for maximum creative freedom. However, this sparks ongoing moral discussions within the community.

Specialized platforms have emerged to address specific niches or provide novel approaches to AI interaction, often with a focus 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 anticipate the future, several developments are emerging:

Heightened focus on on-device and confidential AI solutions
Advancement of more capable and efficient models (e.g., anticipated Quants)
Investigation of novel techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities here like Euryvale hint at the possibility for AI to generate entire virtual universes and elaborate narratives.

The AI RP space remains a nexus of invention, with communities 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 remarkable AI RP experiences in the near future.

Whether you're a curious explorer or a dedicated "neural engineer" working on the next breakthrough in AI, the domain of AI-powered RP offers limitless potential for creativity and exploration.