The Evolution of AI-Powered Interactive Storytelling: From Norse Legends to Local 70B Models

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In the past decade, the domain of AI-driven character interaction (RP) has undergone a remarkable shift. What began as niche experiments with primitive AI has grown into a dynamic landscape of applications, platforms, and communities. This article explores the current landscape of AI RP, from popular platforms to cutting-edge techniques.

The Rise of AI RP Platforms

Various platforms have emerged as popular hubs for AI-assisted storytelling and role-play. These allow users to engage in both traditional RP and more adult-oriented ERP (sensual storytelling) scenarios. Characters like Stheno, or custom personalities like Midnight Miqu have become community darlings.

Meanwhile, other services have gained traction for hosting and circulating "character cards" – customizable AI entities that users can engage. The Chaotic Soliloquy community has been notably active in crafting and distributing these cards.

Advancements in Language Models

The accelerated evolution of large language models (LLMs) has been a key driver of AI RP's expansion. Models like LLaMA-3 and the fabled "OmniLingua" (a speculative future model) highlight the growing potential of AI in generating consistent and situationally appropriate responses.

Fine-tuning has become a vital technique for adapting these models to unique RP scenarios or character personalities. This method allows for more refined and reliable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the demand for privacy and personal autonomy. This has led to the emergence of "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have emerged to address this need.

Initiatives more info like Undi and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their personal devices. 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 deploying local models, including powerful 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for complex RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is celebrated for its inventiveness and eagerness to challenge limits. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more dynamic and surprising characters.

Some users search for "unrestricted" or "obliterated" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.

Niche platforms have surfaced to serve specific niches or provide alternative approaches to AI interaction, often with a focus on "data protection" 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 emerging:

Heightened focus on self-hosted and secure AI solutions
Development of more sophisticated and optimized models (e.g., rumored 70B models)
Exploration of groundbreaking techniques like "perpetual context" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Lumimaid hint at the potential for AI to produce entire fictional worlds and intricate narratives.

The AI RP space remains a nexus of invention, with collectives like Chaotic Soliloquy pushing the boundaries of what's achievable. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more remarkable AI RP experiences in the not-so-distant tomorrow.

Whether you're a occasional storyteller or a passionate "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers limitless potential for creativity and discovery.

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