The Progression of AI-Enabled Character Simulation: From Fimbulvetr to Next-Gen Language Models
In the past decade, the world of AI-assisted storytelling (RP) has seen a dramatic transformation. What started as experimental ventures with early language models has blossomed into a thriving community of applications, resources, and enthusiasts. This article explores the current landscape of AI RP, from widely-used tools to innovative techniques.
The Growth of AI RP Platforms
Various tools have come to prominence as well-liked focal points for AI-assisted storytelling and role-play. These allow users to engage in both traditional RP and more mature ERP (sensual storytelling) scenarios. Personas like Euryvale, or user-generated entities like Midnight Miqu have become fan favorites.
Meanwhile, other websites have gained traction for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The IkariDev community has been notably active in crafting and sharing these cards.
Innovations in Language Models
The swift progression of neural language processors (LLMs) has been a key driver of AI RP's growth. Models like Llama.cpp and the legendary "OmniLingua" (a theoretical future model) highlight the expanding prowess of AI in creating logical and context-aware responses.
Fine-tuning has become a crucial technique for adapting these models to specific RP scenarios or character personalities. This process allows for more nuanced and consistent interactions.
The Movement 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 rise of "user-owned language processors" and local hosting solutions. Various "LLM hosting" services have sprung up to satisfy this need.
Endeavors like Undi and implementations of NeuralCore.cpp have made it possible for users to run powerful language models on their local machines. This "self-hosted model" approach attracts those concerned about data privacy or those who simply enjoy customizing AI systems.
Various tools have become widely adopted as user-friendly options for running local models, including advanced 70B parameter versions. These more complex models, while computationally intensive, offer superior results for intricate 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 Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more dynamic and surprising characters.
Some users pursue "abiliterated" or "enhanced" models, targeting maximum creative freedom. However, this sparks ongoing philosophical conversations within the community.
Niche tools have appeared 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 anticipate the future, several patterns are taking shape:
Heightened focus on local and private AI solutions
Development of more sophisticated and optimized models (e.g., anticipated 70B models)
Exploration of innovative techniques like "neversleep" for sustaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Euryvale hint at the possibility for AI to produce entire imaginary realms and intricate narratives.
The AI RP field remains a nexus of invention, with collectives like IkariDev redefining the possibilities 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 coming years.
Whether you're a casual role-player or a committed "neural engineer" working on the next breakthrough in AI, the realm of more info AI-powered RP offers infinite opportunities for creativity and discovery.