The Progression of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models


In the past decade, the realm of AI-assisted storytelling (RP) has seen a significant evolution. What originated as niche experiments with primitive AI has developed into a vibrant ecosystem of platforms, platforms, and enthusiasts. This piece explores the existing environment of AI RP, from popular platforms to groundbreaking techniques.

The Emergence of AI RP Platforms

Various tools have risen as well-liked hubs for AI-enhanced fiction writing and immersive storytelling. These allow users to participate in both conventional storytelling and more adult-oriented ERP (sensual storytelling) scenarios. Avatars like Stheno, or custom personalities like Lumimaid have become community darlings.

Meanwhile, other websites have gained traction for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The IkariDev community has been notably active in creating and sharing these cards.

Innovations in Language Models

The swift progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the fabled "HyperVerbal" (a hypothetical future model) highlight the increasing capabilities of AI in generating coherent and situationally appropriate responses.

Model customization has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more sophisticated and reliable interactions.

The Drive for Privacy and Control

As AI RP has become more widespread, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "Model Deployment" services have sprung up to meet this need.

Endeavors like NeverSleep and implementations of NeuralCore.cpp have made it feasible for users to run powerful language models on their own hardware. This "self-hosted model" approach resonates with those worried about data privacy or those who simply appreciate read more tinkering with AI systems.

Various tools have gained popularity as intuitive options for deploying local models, including powerful 70B parameter versions. These more sophisticated models, while processing-heavy, offer enhanced capabilities for complex RP scenarios.

Exploring Limits and Investigating New Frontiers

The AI RP community is celebrated for its inventiveness and determination to break new ground. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more dynamic and unpredictable characters.

Some users seek out "uncensored" or "obliterated" models, aiming for maximum creative freedom. However, this raises ongoing ethical debates within the community.

Specialized platforms have emerged to address specific niches or provide novel 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 taking shape:

Growing focus on self-hosted and secure AI solutions
Development of more powerful and streamlined models (e.g., anticipated 70B models)
Investigation of novel techniques like "neversleep" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Characters like Poppy Porpoise hint at the prospect for AI to create entire imaginary realms and expansive narratives.

The AI RP domain remains a crucible of innovation, with collectives like Chaotic Soliloquy expanding the limits of what's possible. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more astounding AI RP experiences in the coming years.

Whether you're a casual role-player or a passionate "AI researcher" working on the next breakthrough in AI, the domain of AI-powered RP offers limitless potential for innovation and discovery.

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