The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the last few years, the domain of AI-driven character interaction (RP) has seen a significant evolution. What started as experimental ventures with first-generation chatbots has developed into a dynamic landscape of applications, resources, and enthusiasts. This piece examines the present state of AI RP, from popular platforms to cutting-edge techniques.
The Rise of AI RP Platforms
Various tools have come to prominence as favored hubs for AI-assisted storytelling and role-play. These allow users to experience both conventional storytelling and more mature ERP (sensual storytelling) scenarios. Characters like Stheno, or custom personalities like Poppy Porpoise have become fan favorites.
Meanwhile, other websites have grown in popularity for distributing and exchanging "character cards" – pre-made AI personalities that users can converse with. The Backyard AI community has been especially active in crafting and distributing these cards.
Advancements in Language Models
The accelerated development of neural language processors (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA-3 and the fabled "Mythomax" (a theoretical future model) highlight the growing potential of AI in creating coherent and situationally appropriate responses.
Fine-tuning has become a essential technique for tailoring these models to unique RP scenarios or character personalities. This process allows for more sophisticated and stable interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the need for data privacy and user control. This has led to the emergence of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have been created to satisfy this need.
Projects like Kobold AI and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their local machines. This "self-hosted model" approach appeals to those concerned about data privacy or those who simply enjoy experimenting with AI systems.
Various tools have become widely adopted as accessible options for deploying local models, including powerful 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for intricate RP scenarios.
Exploring Limits and Investigating New Frontiers
The AI RP community is recognized for its innovation and eagerness to push boundaries. Tools like Orthogonal Activation Steering allow for fine-grained control over AI outputs, potentially leading to more dynamic and surprising characters.
Some users search for get more info "unrestricted" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing philosophical conversations within the community.
Niche platforms have emerged to serve 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 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
Characters like Euryvale hint at the possibility for AI to generate entire imaginary realms and expansive narratives.
The AI RP domain remains a crucible of advancement, with groups like IkariDev expanding the limits of what's possible. As GPU technology evolves and techniques like quantization boost capabilities, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.
Whether you're a occasional storyteller or a passionate "quant" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and adventure.