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

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In the past decade, the realm of AI-powered role-playing (RP) has experienced a remarkable shift. What began as fringe projects with first-generation chatbots has blossomed into a vibrant ecosystem of platforms, services, and enthusiasts. This overview explores the current landscape of AI RP, from widely-used tools to innovative techniques.

The Emergence of AI RP Platforms

Various services have come to prominence as well-liked focal points for AI-powered narrative creation and character interaction. These allow users to participate in both conventional storytelling and more risqué ERP (erotic role-play) scenarios. Characters like Stheno, or user-generated entities like Poppy Porpoise have become fan favorites.

Meanwhile, other platforms have gained traction for hosting and sharing "character cards" – pre-made AI personalities that users can interact with. The Backyard AI community has been notably active in crafting and distributing these cards.

Innovations in Language Models

The rapid development of neural language processors (LLMs) has been a primary catalyst of AI RP's expansion. Models like Llama.cpp and the mythical "HyperVerbal" (a hypothetical future model) demonstrate the increasing capabilities of AI in creating logical and situationally appropriate responses.

Fine-tuning has become a vital technique for adjusting these models to particular RP scenarios or character personalities. This method allows for more nuanced and stable interactions.

The Drive for Privacy and Control

As AI RP has grown in popularity, so too has the need for confidentiality and user control. This has led to the development of "local LLMs" and self-hosted AI options. Various "LLM hosting" services have emerged to meet this need.

Endeavors like Kobold AI and implementations of CogniScript.cpp have made it possible for users to utilize powerful language models on their own hardware. This "self-hosted model" approach appeals to those focused on data privacy or those who simply enjoy customizing AI systems.

Various tools have gained popularity as accessible options for running local models, including powerful 70B parameter versions. These more sophisticated models, while GPU-demanding, offer superior results for complex RP scenarios.

Exploring Limits and Venturing into New Frontiers

The AI RP community is known for its innovation and determination to push boundaries. Tools like Cognitive Vector Control allow for fine-grained control over AI outputs, potentially leading to more versatile and spontaneous characters.

Some users search for "uncensored" or "obliterated" models, striving for maximum creative freedom. However, this provokes ongoing ethical debates check here within the community.

Specialized services have appeared to cater to specific niches or provide novel 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 taking shape:

Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., rumored Quants)
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 potential for AI to create entire fictional worlds and elaborate narratives.

The AI RP space remains a crucible of innovation, with groups like IkariDev expanding the limits of what's possible. As GPU technology progresses and techniques like quantization enhance performance, we can expect even more impressive AI RP experiences in the coming years.

Whether you're a curious explorer or a committed "neural engineer" working on the next breakthrough in AI, the realm of AI-powered RP offers infinite opportunities for creativity and discovery.

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