The Progression of AI-Driven Character Simulation: From Fimbulvetr to Local 70B Models
In the last few years, the realm of AI-driven character interaction (RP) has seen a significant evolution. What started as niche experiments with early language models has developed into a dynamic landscape of applications, resources, and user groups. This article investigates the existing environment of AI RP, from widely-used tools to cutting-edge techniques.
The Rise of AI RP Platforms
Various tools have risen as well-liked centers for AI-enhanced fiction writing and immersive storytelling. These allow users to participate in both traditional RP and more mature ERP (intimate character interactions) scenarios. Characters like Noromaid, or user-generated entities like Midnight Miqu have become community darlings.
Meanwhile, other platforms have become increasingly favored for sharing and sharing "character cards" – customizable AI entities that users can engage. The Backyard AI community has been especially active in crafting and sharing these cards.
Innovations in Language Models
The accelerated progression of large language models (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA CPP and the fabled "HyperVerbal" (a speculative future model) showcase the growing potential of AI in producing logical and context-aware responses.
Fine-tuning has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more refined 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 personal autonomy. This has led to the development of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have emerged to meet this need.
Projects like Kobold AI 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 appeals to those concerned about data privacy or those who simply relish customizing AI systems.
Various tools have become widely adopted as accessible options for running local models, including advanced 70B parameter versions. These more complex models, while GPU-demanding, offer enhanced capabilities for elaborate RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is recognized for its creativity and determination to challenge limits. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more dynamic and spontaneous characters.
Some users seek out "abiliterated" or "obliterated" models, striving for maximum creative freedom. However, this raises ongoing philosophical conversations within the community.
Niche platforms have appeared to address specific niches or provide unique 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 look to the future, several patterns are taking shape:
Growing focus on local and private AI solutions
Advancement of more capable and optimized models (e.g., rumored Quants)
Investigation of novel techniques like "eternal memory" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more more info engaging experiences
Characters like Euryvale hint at the possibility for AI to generate entire virtual universes and elaborate narratives.
The AI RP domain remains a crucible of innovation, with collectives like IkariDev redefining the possibilities of what's achievable. 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 dedicated "quant" working on the next innovation in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.