The Advancement of AI-Enabled Character Simulation: From Fimbulvetr to Next-Gen Language 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 vibrant ecosystem of platforms, resources, and communities. This article examines the existing environment of AI RP, from popular platforms to innovative techniques.
The Growth of AI RP Platforms
Various platforms have risen as favored focal points for AI-assisted storytelling and immersive storytelling. These allow users to engage in both classic role-playing and more mature ERP (intimate character interactions) scenarios. Characters like Stheno, or user-generated entities like Poppy Porpoise have become community darlings.
Meanwhile, other websites have become increasingly favored for distributing and circulating "character cards" – pre-made AI personalities that users can interact with. The Chaotic Soliloquy community has been particularly active in creating and sharing these cards.
Advancements in Language Models
The rapid development of large language models (LLMs) has been a key driver of AI RP's proliferation. Models like LLaMA CPP and the fabled "HyperVerbal" (a theoretical future model) demonstrate the growing potential of AI in generating coherent and environmentally cognizant responses.
AI personalization has become a vital technique for tailoring these models to specific RP scenarios or character personalities. This process allows for more refined and reliable interactions.
The Drive for Privacy and Control
As AI RP has grown in popularity, so too has the need for data privacy and personal autonomy. This has led to the emergence of "local LLMs" and local hosting solutions. Various "LLM hosting" services have been created to address this need.
Projects like NeverSleep and implementations of NeuralCore.cpp have made it possible for users to utilize powerful language models on their personal devices. This "local LLM" approach resonates with those concerned about data privacy or those who simply relish experimenting with AI systems.
Various tools have gained popularity as accessible options for running local models, including powerful 70B parameter versions. These larger models, while processing-heavy, offer enhanced capabilities for elaborate RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is known for its innovation and willingness to read more challenge limits. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and spontaneous characters.
Some users seek out "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.
Specialized services have emerged to address 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 envision the future, several trends are becoming apparent:
Growing focus on local and private AI solutions
Creation of more powerful and optimized models (e.g., rumored Quants)
Exploration of groundbreaking techniques like "neversleep" for sustaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the potential for AI to create entire virtual universes and elaborate narratives.
The AI RP domain remains a hotbed of advancement, with communities like Chaotic Soliloquy redefining the possibilities of what's achievable. As GPU technology evolves and techniques like quantization enhance performance, we can expect even more astounding AI RP experiences in the coming years.
Whether you're a curious explorer or a dedicated "quant" working on the next discovery in AI, the domain of AI-powered RP offers endless possibilities for imagination and adventure.