The Advancement of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models
In the past decade, the realm of AI-assisted storytelling (RP) has experienced a dramatic transformation. What began as niche experiments with first-generation chatbots has developed into a dynamic landscape of platforms, services, and communities. This article investigates the present state of AI RP, from widely-used tools to cutting-edge techniques.
The Rise of AI RP Platforms
Various tools have risen as popular focal points for AI-enhanced fiction writing and character interaction. These allow users to participate in both traditional RP and more risqué ERP (intimate character interactions) scenarios. Personas like Stheno, or custom personalities like Poppy Porpoise have become fan favorites.
Meanwhile, other websites have grown in popularity for hosting and circulating "character cards" – ready-to-use digital personas that users can interact with. The IkariDev community has been particularly active in crafting and sharing these cards.
Breakthroughs in Language Models
The rapid development of advanced AI systems (LLMs) has been a key driver of AI RP's expansion. Models like LLaMA-3 and the legendary "HyperVerbal" (a speculative future model) demonstrate the growing potential of AI in creating logical and context-aware responses.
Model customization has become a essential technique for adjusting these models to unique RP scenarios or character personalities. This process allows for more nuanced and consistent interactions.
The Drive for Privacy and Control
As AI RP has become more widespread, so too has the need for data privacy and individual oversight. This has led to the rise of "private LLMs" and self-hosted AI options. Various "Model Deployment" services have been created to satisfy this need.
Endeavors like NeverSleep and implementations of CogniScript.cpp have made it achievable for users to utilize powerful language models on their local machines. This "self-hosted model" approach resonates with those focused on data privacy or those who simply relish customizing AI systems.
Various tools have grown in favor as accessible options for deploying local models, including powerful 70B parameter versions. These more complex models, while GPU-demanding, offer enhanced capabilities for complex RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is celebrated for its innovation and eagerness to challenge limits. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more adaptable and surprising characters.
Some users pursue "uncensored" or "obliterated" models, targeting maximum creative freedom. However, this sparks ongoing ethical debates within the community.
Specialized tools 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 anticipate the future, several trends are becoming apparent:
Growing focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., anticipated 70B models)
Research of innovative techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Poppy Porpoise hint at the prospect for AI to generate entire virtual universes and expansive narratives.
The AI RP domain 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 enhance performance, we can expect even more astounding AI RP experiences in the coming years.
Whether you're a curious explorer or a dedicated more info "neural engineer" working on the next breakthrough in AI, the realm of AI-powered RP offers infinite opportunities for creativity and discovery.