The Advancement of AI-Enabled 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 fringe projects with primitive AI has developed into a dynamic landscape of platforms, resources, and communities. This overview explores the existing environment of AI RP, from popular platforms to groundbreaking techniques.
The Rise of AI RP Platforms
Various services have emerged as favored focal points for AI-assisted storytelling 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 sharing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been notably active in creating and distributing these cards.
Innovations in Language Models
The accelerated progression of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the fabled "HyperVerbal" (a hypothetical future model) showcase the increasing capabilities of AI in producing consistent and situationally appropriate responses.
AI personalization has become a vital 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 demand for privacy and personal autonomy. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "Model Deployment" services have been created to satisfy this need.
Endeavors like NeverSleep and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their own hardware. This "local LLM" approach appeals to those check here focused on data privacy or those who simply relish customizing AI systems.
Various tools have become widely adopted as accessible options for running local models, including impressive 70B parameter versions. These more sophisticated models, while processing-heavy, offer improved performance for intricate RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is celebrated for its innovation and willingness to break new ground. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more dynamic and surprising characters.
Some users pursue "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this sparks ongoing ethical debates within the community.
Focused services 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:
Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., rumored Quants)
Exploration of groundbreaking techniques like "perpetual context" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Euryvale hint at the potential for AI to produce entire fictional worlds and intricate narratives.
The AI RP space remains a crucible of advancement, with groups like Backyard AI pushing the boundaries of what's attainable. As GPU technology advances and techniques like neural compression boost capabilities, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.
Whether you're a casual role-player 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.