The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In recent years, the realm of AI-assisted storytelling (RP) has undergone a remarkable shift. What began as experimental ventures with early language models has grown into a thriving community of applications, platforms, and communities. This piece explores the existing environment of AI RP, from widely-used tools to groundbreaking techniques.
The Emergence of AI RP Platforms
Various tools have risen as well-liked hubs for AI-enhanced fiction writing and character interaction. These allow users to participate in both traditional RP and more mature ERP (sensual storytelling) scenarios. Avatars like Stheno, or user-generated entities like Midnight Miqu have become fan favorites.
Meanwhile, other services have become increasingly favored for hosting and sharing "character cards" – ready-to-use digital personas that users can converse with. The Chaotic Soliloquy community has been particularly active in designing and distributing these cards.
Breakthroughs in Language Models
The accelerated development 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) highlight the increasing capabilities of AI in generating 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 stable interactions.
The Movement for Privacy and Control
As AI RP has gained mainstream appeal, so too has the need for data privacy and individual oversight. This has led to website the development of "local LLMs" and local hosting solutions. Various "LLM hosting" services have been created to satisfy this need.
Initiatives like Undi and implementations of Llama.cpp have made it achievable for users to utilize powerful language models on their personal devices. This "on-device AI" approach resonates with those focused on data privacy or those who simply enjoy customizing AI systems.
Various tools have grown in favor as accessible options for running local models, including advanced 70B parameter versions. These more complex models, while computationally intensive, offer superior results for intricate RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is recognized for its creativity and eagerness to push boundaries. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more dynamic and spontaneous characters.
Some users seek out "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 unique 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 patterns are emerging:
Growing focus on local and private AI solutions
Advancement of more powerful and optimized models (e.g., anticipated LLaMA-3)
Research of groundbreaking techniques like "perpetual context" for maintaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Poppy Porpoise hint at the potential for AI to produce entire imaginary realms and elaborate narratives.
The AI RP space remains a nexus of invention, with communities like Backyard AI redefining the possibilities of what's achievable. As GPU technology advances and techniques like cognitive optimization enhance performance, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.
Whether you're a occasional storyteller or a dedicated "AI researcher" working on the next breakthrough in AI, the domain of AI-powered RP offers limitless potential for creativity and discovery.