The Advancement of AI-Driven Character Simulation: From Fimbulvetr to Local 70B Models
In the last few years, the realm of AI-assisted storytelling (RP) has undergone a dramatic transformation. What originated as fringe projects with early language models has developed into a thriving community of tools, services, and communities. This piece explores the existing environment of AI RP, from popular platforms to groundbreaking techniques.
The Rise of AI RP Platforms
Various tools have emerged as favored hubs for AI-powered narrative creation 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 become increasingly favored for distributing and sharing "character cards" – customizable AI entities that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.
Advancements in Language Models
The swift progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like LLaMA CPP and the fabled "Mythomax" (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 specific RP scenarios or character personalities. This process allows for more sophisticated and consistent interactions.
The Drive for Privacy and Control
As AI RP has become more widespread, so too has the call for confidentiality 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 Undi and implementations of NeuralCore.cpp have made it feasible for users to operate powerful language models on their personal devices. This "local LLM" approach appeals to those concerned about data privacy or those who simply relish customizing AI systems.
Various tools have grown in favor as accessible options for deploying local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer superior results for intricate RP scenarios.
Exploring Limits and Exploring New Frontiers
The AI RP community is celebrated for its inventiveness and eagerness to push boundaries. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.
Some users search for "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions 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 envision the future, several developments are emerging:
Heightened focus on self-hosted and secure AI solutions
Development of more capable and efficient models (e.g., anticipated LLaMA-3)
Research of innovative techniques like "neversleep" for preserving long-term context
Integration of AI with other technologies (VR, voice read more synthesis) for more engaging experiences
Characters like Lumimaid hint at the potential for AI to create entire fictional worlds and elaborate 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 improve efficiency, we can expect even more remarkable 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 innovation in AI, the domain of AI-powered RP offers endless possibilities for imagination and discovery.