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

In the last few years, the realm of AI-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with first-generation chatbots has grown into a vibrant ecosystem of applications, platforms, and enthusiasts. This article investigates the present state of AI RP, from popular platforms to innovative techniques.

The Rise of AI RP Platforms

Various services have emerged as favored focal points for AI-powered narrative creation and role-play. These allow users to participate in both conventional storytelling and more mature ERP (erotic role-play) scenarios. Personas like Noromaid, or original creations like Poppy Porpoise have become popular choices.

Meanwhile, other platforms have grown in popularity for distributing and sharing "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 neural language processors (LLMs) has been a key driver of AI RP's growth. Models like Llama.cpp and the legendary "OmniLingua" (a hypothetical future model) highlight the expanding prowess of AI in creating coherent and context-aware responses.

Fine-tuning has become a crucial technique for adapting these models to specific RP scenarios or character personalities. This process allows for more nuanced and consistent interactions.

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the need for data privacy and individual oversight. This has led to the development of "user-owned language processors" and on-premise model deployment. Various "Model Deployment" services have emerged to address this need.

Projects like Kobold AI and implementations of CogniScript.cpp have made it achievable for users to operate powerful language models on their personal devices. This "local LLM" approach resonates with those focused on data privacy or those who simply appreciate experimenting with AI systems.

Various tools have gained popularity as intuitive options for deploying local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer improved performance for complex RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is known for its inventiveness and eagerness to push boundaries. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more adaptable and spontaneous characters.

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

Focused services have surfaced to cater to specific niches or provide novel approaches to AI interaction, often with a focus on "no logging" 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 taking shape:

Heightened focus on self-hosted and secure AI solutions
Advancement of more powerful and optimized models (e.g., anticipated LLaMA-3)
Investigation of groundbreaking techniques like "neversleep" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the prospect for AI to produce entire fictional worlds and elaborate narratives.

The AI RP field remains a nexus of advancement, with communities like IkariDev expanding the limits of what's attainable. As GPU technology evolves and techniques like read more quantization improve efficiency, we can expect even more impressive AI RP experiences in the coming years.

Whether you're a curious explorer or a passionate "quant" working on the next breakthrough in AI, the world of AI-powered RP offers endless possibilities for creativity and discovery.