The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models

In recent years, the realm of AI-assisted storytelling (RP) has experienced a remarkable shift. What originated as niche experiments with primitive AI has blossomed into a thriving community of tools, platforms, and enthusiasts. This piece explores the existing environment of AI RP, from widely-used tools to innovative techniques.

The Rise of AI RP Platforms

Various services have emerged as well-liked centers for AI-assisted storytelling and immersive storytelling. These allow users to participate in both traditional RP and more risqué ERP (sensual storytelling) scenarios. Characters like Noromaid, or original creations like Midnight Miqu have become fan favorites.

Meanwhile, other websites have gained traction for distributing and sharing "character cards" – customizable AI entities that users can interact with. The IkariDev community has been notably active in creating and distributing these cards.

Breakthroughs in Language Models

The rapid evolution of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like LLaMA CPP and the mythical "OmniLingua" (a hypothetical future model) highlight the increasing capabilities of AI in producing logical and environmentally cognizant responses.

Fine-tuning has become a crucial technique for tailoring these models to particular RP scenarios or character personalities. This approach allows for more refined and stable interactions.

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have sprung up to meet this need.

Projects like Kobold AI and implementations of Llama.cpp have made it possible for users to utilize 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 become widely adopted as accessible options for deploying local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer superior results for intricate RP scenarios.

Exploring Limits and Exploring New Frontiers

The AI RP community is known for its inventiveness and eagerness to challenge limits. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.

Some users search for "unrestricted" or "obliterated" models, targeting maximum creative freedom. However, this sparks ongoing ethical debates within the community.

Focused services have surfaced to serve specific niches or provide alternative 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 look to the future, several patterns are emerging:

Heightened focus on self-hosted and secure AI solutions
Development of more capable and efficient models (e.g., anticipated 70B models)
Research of innovative techniques like "neversleep" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more engaging experiences
Characters like Lumimaid hint at the potential for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a crucible of innovation, with groups like Backyard AI expanding the limits of what's attainable. As GPU technology progresses and techniques like cognitive optimization improve efficiency, we can expect even more astounding AI RP experiences in the near future.

Whether you're a occasional storyteller or a passionate "quant" working on the next innovation in AI, the world of AI-powered RP offers limitless potential for read more innovation and exploration.