The Progression of AI-Driven Character Simulation: From Ancient Myths to Local 70B Models


In the past decade, the realm of AI-assisted storytelling (RP) has seen a remarkable shift. What originated as experimental ventures with primitive AI has grown into a dynamic landscape of applications, resources, and enthusiasts. This overview investigates the current landscape of AI RP, from popular platforms to cutting-edge techniques.

The Rise 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 (sensual storytelling) scenarios. Characters like Stheno, or custom personalities like Midnight Miqu have become popular choices.

Meanwhile, other services have gained traction for hosting and circulating "character cards" – customizable AI entities that users can engage. The Chaotic Soliloquy community has been notably active in designing and distributing these cards.

Advancements in Language Models

The accelerated evolution of large language models (LLMs) has been a primary catalyst of AI RP's expansion. Models like LLaMA-3 and the legendary "Mythomax" (a hypothetical future model) demonstrate the increasing capabilities of AI in producing coherent and environmentally cognizant responses.

Model customization has become a vital technique for tailoring 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 individual oversight. This has led to the emergence of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have sprung up to address this need.

Endeavors like Kobold AI and implementations of NeuralCore.cpp have made it achievable for users to run powerful language models on their local machines. This "local LLM" approach attracts those focused on data privacy or those who simply enjoy experimenting 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 intricate RP scenarios.

Breaking New Ground and Exploring New Frontiers

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

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

Niche services have appeared to serve specific niches or provide unique 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 developments are taking shape:

Growing focus on self-hosted and secure AI solutions
Advancement 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 lifelike experiences
Entities like Euryvale hint at the possibility for AI to create entire fictional more info worlds and expansive narratives.

The AI RP domain remains a nexus of invention, with groups like IkariDev pushing the boundaries of what's attainable. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more impressive AI RP experiences in the not-so-distant tomorrow.

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

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