THE PROGRESSION OF AI-ENABLED CHARACTER SIMULATION: FROM FIMBULVETR TO NEXT-GEN LANGUAGE MODELS

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

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

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In the last few years, the domain of AI-driven character interaction (RP) has experienced a remarkable shift. What originated as niche experiments with primitive AI has grown into a vibrant ecosystem of tools, services, and user groups. This piece examines the existing environment of AI RP, from user favorites to groundbreaking techniques.

The Growth of AI RP Platforms

Various tools have come to prominence as well-liked focal points for AI-assisted storytelling and character interaction. These allow users to participate in both classic role-playing and more mature ERP (intimate character interactions) scenarios. Avatars like Noromaid, or user-generated entities like Poppy Porpoise have become community darlings.

Meanwhile, other platforms have gained traction for hosting and circulating "character cards" – customizable AI entities that users can engage. The IkariDev community has been particularly active in creating and spreading these cards.

Innovations in Language Models

The rapid progression of neural language processors (LLMs) has been a crucial factor of AI RP's growth. Models like LLaMA CPP and the fabled "OmniLingua" (a speculative future model) highlight the growing potential of AI in generating logical and situationally appropriate responses.

Fine-tuning has become a vital technique for adapting these models to unique RP scenarios or character personalities. This method allows for more nuanced and reliable interactions.

The Push for Privacy and Control

As AI RP has gained mainstream appeal, so too has the demand for data privacy and personal autonomy. This has led to the development of "user-owned language processors" and on-premise model deployment. Various "AI-as-a-Service" services have been created to address this need.

Endeavors like Kobold AI and implementations of NeuralCore.cpp have made it possible for users to operate powerful language models on their local machines. This "local LLM" approach resonates with those concerned about data privacy or those who simply appreciate customizing AI systems.

Various tools have gained popularity as accessible options for managing local models, including impressive 70B parameter versions. These more complex models, while processing-heavy, offer enhanced capabilities for complex RP scenarios.

Exploring Limits and Venturing into New Frontiers

The AI RP community is known for its innovation and eagerness to break new ground. Tools like Orthogonal Activation Steering allow for precise manipulation over AI outputs, potentially leading to more versatile and surprising characters.

Some users search for "abiliterated" or "obliterated" models, aiming for maximum creative freedom. However, this sparks ongoing moral discussions within the community.

Focused tools have surfaced to address specific niches or provide alternative 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 look to the future, several trends are emerging:

Increased focus on self-hosted and secure AI solutions
Creation of more capable and optimized models (e.g., speculated 70B models)
Investigation of novel techniques like "neversleep" for maintaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more immersive experiences
Characters like Euryvale hint at the prospect for AI to generate entire fictional worlds and intricate narratives.

The AI RP here field remains a crucible of advancement, with groups like Chaotic Soliloquy expanding the limits 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 curious explorer or a committed "neural engineer" working on the next breakthrough in AI, the domain of AI-powered RP offers limitless potential for innovation and exploration.

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