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

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

The Advancement 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-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with primitive AI has developed into a vibrant ecosystem of applications, platforms, and enthusiasts. This piece investigates the present state of AI RP, from user favorites to innovative techniques.

The Growth of AI RP Platforms

Various platforms have come to prominence as popular centers for AI-assisted storytelling and immersive storytelling. These allow users to participate in both conventional storytelling and more adult-oriented ERP (intimate character interactions) scenarios. Characters like Euryvale, or custom personalities like Lumimaid have become community darlings.

Meanwhile, other websites have gained traction for sharing and circulating "character cards" – ready-to-use digital personas that users can converse with. The IkariDev community has been notably active in designing and spreading these cards.

Breakthroughs in Language Models

The rapid progression of advanced AI systems (LLMs) has been a primary catalyst of AI RP's expansion. Models like LLaMA CPP and the legendary "HyperVerbal" (a theoretical future model) highlight the increasing capabilities of AI in creating coherent and situationally appropriate responses.

Fine-tuning has become a essential technique for adjusting these models to specific RP scenarios or character personalities. This method allows for more refined and consistent interactions.

The Drive for Privacy and Control

As AI RP has grown in popularity, so too has the call for data privacy and user control. This has led to the emergence of "user-owned language processors" and on-premise model deployment. Various "LLM hosting" services have emerged to satisfy this need.

Endeavors like Kobold AI and implementations of NeuralCore.cpp have made it feasible for users to utilize powerful language models on their own hardware. This "local LLM" approach attracts those focused on data privacy or those who simply relish tinkering with AI systems.

Various tools have gained popularity as accessible options for deploying local models, including advanced 70B parameter versions. These more sophisticated models, while computationally intensive, offer enhanced capabilities for complex RP scenarios.

Exploring Limits and Investigating New Frontiers

The AI RP community is recognized for its innovation and eagerness to challenge limits. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more adaptable and surprising characters.

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

Niche services have appeared to cater to 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 patterns are becoming apparent:

Heightened focus on self-hosted and secure AI solutions
Creation of more powerful and efficient models (e.g., anticipated Quants)
Investigation of innovative techniques like "neversleep" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more engaging experiences
Characters like Poppy Porpoise hint at the prospect for AI to create entire imaginary realms and expansive narratives.

The AI RP domain remains a crucible of innovation, with collectives like Chaotic here Soliloquy expanding the limits of what's possible. As GPU technology evolves and techniques like neural compression boost capabilities, we can expect even more remarkable AI RP experiences in the not-so-distant tomorrow.

Whether you're a occasional storyteller or a passionate "quant" working on the next innovation in AI, the domain of AI-powered RP offers limitless potential for innovation and exploration.

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