The Advancement of AI-Enabled Interactive Storytelling: From Norse Legends to Local 70B Models
In the last few years, the realm of AI-assisted storytelling (RP) has undergone a significant evolution. What originated as fringe projects with first-generation chatbots has grown into a thriving community of applications, platforms, and enthusiasts. This article examines the existing environment of AI RP, from user favorites to groundbreaking techniques.
The Growth of AI RP Platforms
Various tools have come to prominence as well-liked focal points for AI-assisted storytelling and character interaction. These allow users to experience both conventional storytelling and more adult-oriented ERP (sensual storytelling) scenarios. Personas like Noromaid, or custom personalities like Midnight Miqu have become fan favorites.
Meanwhile, other platforms have gained traction for hosting and sharing "character cards" – ready-to-use digital personas that users can engage. The IkariDev community has been especially active in designing and distributing these cards.
Advancements in Language Models
The rapid development of large language models (LLMs) has been a key driver of AI RP's proliferation. Models like LLaMA CPP and the fabled "OmniLingua" (a theoretical future model) demonstrate the increasing capabilities of AI in generating logical and environmentally cognizant responses.
Model customization has become a essential technique for adapting these models to specific RP scenarios or character personalities. This approach allows for more sophisticated and consistent interactions.
The Push for Privacy and Control
As AI RP has gained mainstream appeal, so too has the call for privacy and user control. This has led to the development of "local LLMs" and local hosting solutions. Various "LLM hosting" services have been created to address this need.
Projects like NeverSleep and implementations of Llama.cpp have made it feasible for users to operate powerful language models on their local machines. This "local LLM" 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 here deploying local models, including powerful 70B parameter versions. These more complex models, while computationally intensive, offer superior results for elaborate RP scenarios.
Pushing Boundaries and Investigating New Frontiers
The AI RP community is recognized for its innovation and willingness to push boundaries. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.
Some users search for "abiliterated" or "enhanced" 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 anticipate the future, several trends are becoming apparent:
Growing focus on local and private AI solutions
Advancement of more powerful and streamlined models (e.g., speculated LLaMA-3)
Investigation of novel techniques like "eternal memory" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Lumimaid hint at the prospect for AI to create entire fictional worlds and elaborate narratives.
The AI RP space remains a crucible of advancement, 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 "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers limitless potential for innovation and exploration.