The Advancement of AI-Powered Character Simulation: From Fimbulvetr to Local 70B Models

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In recent years, the world of AI-assisted storytelling (RP) has seen a remarkable shift. What originated as niche experiments with primitive AI has grown into a dynamic landscape of applications, platforms, and communities. This article explores the present state 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 role-play. These allow users to engage in both traditional RP and more adult-oriented ERP (erotic role-play) scenarios. Avatars like Noromaid, or custom personalities like Poppy Porpoise have become community darlings.

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

Innovations in Language Models

The rapid progression of advanced AI systems (LLMs) has been a key driver of AI RP's proliferation. Models like Llama.cpp and the mythical "HyperVerbal" (a theoretical future model) showcase the expanding prowess 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 refined and reliable interactions.

The Movement for Privacy and Control

As AI RP has become more widespread, so too has the need for confidentiality and user control. This has led to the emergence of "private LLMs" and local hosting solutions. Various "Model Deployment" services have sprung up to satisfy this need.

Projects like Undi and implementations of CogniScript.cpp have made it possible for users to operate powerful language models on their own here hardware. This "on-device AI" approach resonates with those concerned about data privacy or those who simply relish tinkering with AI systems.

Various tools have grown in favor as user-friendly options for running local models, including powerful 70B parameter versions. These more sophisticated models, while computationally intensive, offer improved performance for elaborate RP scenarios.

Pushing Boundaries and Exploring New Frontiers

The AI RP community is recognized for its inventiveness and determination to push boundaries. Tools like Neural Path Optimization allow for precise manipulation over AI outputs, potentially leading to more adaptable and surprising characters.

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

Focused tools have surfaced to address specific niches or provide novel 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 envision the future, several patterns are becoming apparent:

Heightened focus on on-device and confidential AI solutions
Advancement of more sophisticated and streamlined models (e.g., anticipated Quants)
Research of innovative techniques like "perpetual context" for preserving long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Characters like Poppy Porpoise hint at the prospect for AI to produce entire virtual universes and elaborate narratives.

The AI RP domain remains a nexus of advancement, with groups like Chaotic Soliloquy pushing the boundaries of what's possible. As GPU technology progresses and techniques like quantization enhance performance, we can expect even more astounding AI RP experiences in the near future.

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

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