The Progression of AI-Enabled Character Simulation: From Fimbulvetr to Next-Gen Language Models

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In the last few years, the realm of AI-powered role-playing (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 services have emerged as favored focal points for AI-powered narrative creation and role-play. These allow users to participate in both conventional storytelling and more mature ERP (intimate character interactions) scenarios. Characters like Euryvale, or original creations like Poppy Porpoise have become popular choices.

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 creating and sharing these cards.

Innovations in Language Models

The accelerated progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the legendary "OmniLingua" (a hypothetical future model) highlight the expanding prowess of AI in creating coherent and context-aware responses.

Fine-tuning has become a crucial technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more sophisticated and reliable interactions.

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the demand for privacy and user control. This has led to the rise of "private LLMs" and local hosting solutions. Various "LLM hosting" services have been created to satisfy this need.

Initiatives like Undi and implementations of Llama.cpp have made it possible for users to utilize powerful language models on their local machines. This "on-device AI" approach appeals to those concerned about data privacy or those who simply relish tinkering with AI systems.

Various tools have gained popularity as intuitive options for deploying local models, including impressive 70B parameter versions. These larger models, while processing-heavy, offer improved performance for complex RP scenarios.

Breaking New Ground and Investigating New Frontiers

The AI RP community is known for its inventiveness and eagerness to push boundaries. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more dynamic and surprising here characters.

Some users seek out "abiliterated" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Specialized tools have emerged to serve specific niches or provide alternative 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 trends are becoming apparent:

Increased focus on self-hosted and secure AI solutions
Advancement of more powerful and optimized models (e.g., anticipated LLaMA-3)
Investigation of groundbreaking techniques like "neversleep" for preserving long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the prospect for AI to produce entire fictional worlds and elaborate narratives.

The AI RP field remains a nexus of advancement, with communities like IkariDev expanding the limits of what's achievable. As GPU technology evolves and techniques like cognitive optimization improve efficiency, we can expect even more impressive AI RP experiences in the near future.

Whether you're a occasional storyteller or a committed "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.

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