The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the past decade, the realm of AI-assisted storytelling (RP) has experienced a remarkable shift. What originated as niche experiments with early language models has blossomed into a thriving community of tools, platforms, and communities. This overview investigates the existing environment of AI RP, from widely-used tools to innovative techniques.
The Rise of AI RP Platforms
Various platforms have come to prominence as well-liked centers for AI-powered narrative creation and character interaction. These allow users to engage in both traditional RP and more risqué ERP (intimate character interactions) scenarios. Personas like Stheno, or original creations like Midnight Miqu have become community darlings.
Meanwhile, other platforms have become increasingly favored for sharing and circulating "character cards" – customizable AI entities that users can interact with. The Backyard AI community has been particularly active in designing and distributing these cards.
Innovations in Language Models
The accelerated progression of neural language processors (LLMs) has been a key driver of AI RP's growth. Models like LLaMA-3 and the mythical "OmniLingua" (a hypothetical future model) highlight the expanding prowess of AI in creating logical and environmentally cognizant responses.
AI personalization has become a vital technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more sophisticated 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 emergence of "local LLMs" and self-hosted AI options. Various "AI-as-a-Service" services have sprung up to meet this need.
Endeavors like Undi and implementations of Llama.cpp have made it possible for users to utilize powerful language models on their personal devices. This "local LLM" approach resonates with those focused on data privacy or those who simply appreciate tinkering with 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 improved performance for complex RP scenarios.
Breaking New Ground and Investigating New Frontiers
The AI RP community is known for its innovation and willingness to challenge limits. Tools like Orthogonal Activation Steering allow for detailed more info adjustment over AI outputs, potentially leading to more dynamic and surprising characters.
Some users seek out "abiliterated" 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 "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 look to the future, several developments are becoming apparent:
Heightened focus on on-device and confidential AI solutions
Advancement of more capable and efficient models (e.g., rumored Quants)
Investigation of innovative techniques like "neversleep" for sustaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Characters like Euryvale hint at the possibility for AI to create entire fictional worlds and intricate narratives.
The AI RP domain remains a crucible of innovation, with communities like Backyard AI expanding the limits of what's possible. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more remarkable AI RP experiences in the near future.
Whether you're a curious explorer or a committed "quant" working on the next innovation in AI, the world of AI-powered RP offers infinite opportunities for creativity and adventure.