The Advancement of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models


In recent years, the realm of AI-driven character interaction (RP) has seen a dramatic transformation. What originated as experimental ventures with first-generation chatbots has grown into a thriving community of applications, services, and communities. This overview examines the present state of AI RP, from popular platforms to groundbreaking techniques.

The Rise of AI RP Platforms

Various tools have risen as well-liked centers for AI-assisted storytelling and immersive storytelling. These allow users to engage in both conventional storytelling and more adult-oriented ERP (erotic role-play) scenarios. Avatars like Stheno, or user-generated entities like Midnight Miqu have become fan favorites.

Meanwhile, other websites have gained traction for sharing and exchanging "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been notably active in creating and distributing these cards.

Breakthroughs in Language Models

The accelerated development of advanced AI systems (LLMs) has been a primary catalyst of AI RP's proliferation. Models like LLaMA-3 and the mythical "Mythomax" (a theoretical future model) demonstrate the expanding prowess of AI in creating logical and context-aware responses.

Fine-tuning has become a crucial 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 demand for privacy and user control. This has led to the rise of "private LLMs" and on-premise model deployment. Various "Model Deployment" services have been created to satisfy this need.

Initiatives like Undi and implementations of NeuralCore.cpp have made it possible for users to run powerful language models on their local machines. This "self-hosted model" approach resonates with those worried about data privacy or those who simply enjoy tinkering with AI systems.

Various tools have grown in favor as intuitive options for deploying local models, including impressive 70B parameter versions. These more sophisticated models, while computationally intensive, offer enhanced capabilities for elaborate RP scenarios.

Exploring Limits and Exploring New Frontiers

The AI RP community is celebrated for its innovation and willingness to break new ground. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more adaptable and spontaneous characters.

Some users seek out "unrestricted" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Niche tools have appeared to address specific niches or provide unique 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 check here the future, several patterns are emerging:

Growing focus on local and private AI solutions
Creation of more sophisticated and optimized models (e.g., anticipated LLaMA-3)
Investigation of groundbreaking techniques like "neversleep" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Euryvale hint at the prospect for AI to generate entire virtual universes and expansive narratives.

The AI RP field remains a nexus of advancement, with communities like Chaotic Soliloquy redefining the possibilities of what's attainable. As GPU technology advances and techniques like quantization enhance performance, we can expect even more astounding AI RP experiences in the not-so-distant tomorrow.

Whether you're a casual role-player or a dedicated "quant" working on the next innovation in AI, the realm of AI-powered RP offers limitless potential for innovation and adventure.

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