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

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

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

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In the last few years, the world of AI-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with early language models has developed into a dynamic landscape of tools, resources, and communities. This overview explores the existing environment of AI RP, from popular platforms to innovative techniques.

The Rise of AI RP Platforms

Various services have emerged as favored focal points for AI-powered narrative creation and immersive storytelling. These allow users to engage 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" – pre-made AI personalities that users can interact with. The IkariDev community has been notably active in crafting and sharing these cards.

Innovations in Language Models

The swift progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the fabled "HyperVerbal" (a speculative future model) showcase the growing potential of AI in producing consistent and environmentally cognizant responses.

AI personalization has become a vital technique for adapting these models to specific RP scenarios or character personalities. This process allows for more nuanced and consistent interactions.

The Push for Privacy and Control

As AI RP has grown in popularity, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "local LLMs" and local hosting solutions. Various "LLM hosting" services have sprung up to meet this need.

Projects like Kobold AI and implementations of Llama.cpp have made it achievable for users to utilize powerful language models on their local machines. This "self-hosted model" approach attracts those worried about data privacy or those who simply appreciate experimenting with AI systems.

Various tools have gained popularity as accessible options for running local models, including impressive 70B parameter versions. These more sophisticated models, while processing-heavy, offer superior results for intricate RP scenarios.

Pushing Boundaries and Exploring New Frontiers

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

Some users seek out "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing philosophical conversations within the community.

Niche platforms have surfaced to serve specific niches or provide read more alternative 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 trends are becoming apparent:

Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated Quants)
Investigation of novel techniques like "perpetual context" for maintaining long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities like Poppy Porpoise hint at the prospect for AI to create entire virtual universes and elaborate narratives.

The AI RP domain remains a hotbed of advancement, with communities like Backyard AI pushing the boundaries of what's attainable. As GPU technology advances and techniques like cognitive optimization improve efficiency, we can expect even more remarkable 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 imagination and exploration.

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