The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models

In recent years, the world of AI-powered role-playing (RP) has seen a remarkable shift. What began as experimental ventures with primitive AI has blossomed into a thriving community of applications, services, and enthusiasts. This article examines the existing environment of AI RP, from popular platforms to innovative techniques.

The Growth of AI RP Platforms

Various platforms have risen as well-liked hubs for AI-powered narrative creation and role-play. These allow users to participate in both conventional storytelling and more adult-oriented ERP (intimate character interactions) scenarios. Avatars like Stheno, or user-generated entities like Poppy Porpoise have become popular choices.

Meanwhile, other websites have become increasingly favored for sharing and exchanging "character cards" – ready-to-use digital personas that users can converse with. The Backyard AI community has been notably active in crafting and spreading these cards.

Advancements in Language Models

The rapid development of large language models (LLMs) has been a key driver of AI RP's growth. Models like LLaMA-3 and the mythical "Mythomax" (a hypothetical future model) highlight the expanding prowess of AI in creating logical and situationally appropriate responses.

Model customization has become a essential technique for tailoring these models to specific RP scenarios or character personalities. This approach allows for more refined and stable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the need for data privacy and individual oversight. This has led to the development of "local LLMs" and on-premise model deployment. Various "AI-as-a-Service" services have sprung up to satisfy this need.

Endeavors like Undi and implementations of Llama.cpp have made it achievable for users to operate powerful language models on their own hardware. This "self-hosted model" approach attracts those concerned about data privacy or those who simply relish experimenting with AI systems.

Various tools have gained popularity as intuitive options for running local models, including advanced 70B parameter versions. These more complex models, while computationally intensive, offer superior results for complex RP scenarios.

Breaking New Ground and Exploring New Frontiers

The AI RP community is celebrated for its creativity and determination to push boundaries. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more adaptable and unpredictable characters.

Some users pursue "uncensored" or "enhanced" models, targeting maximum creative freedom. However, this raises ongoing moral discussions within the community.

Focused platforms have appeared to address specific niches or provide alternative 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 trends are taking shape:

Heightened focus on on-device and confidential AI solutions
Development of more capable and streamlined models (e.g., rumored 70B models)
Research of novel techniques like "neversleep" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Euryvale hint at the potential for AI to produce entire click here imaginary realms and expansive narratives.

The AI RP field remains a hotbed of advancement, with communities like Backyard AI expanding the limits of what's attainable. As GPU technology progresses and techniques like quantization enhance performance, we can expect even more impressive AI RP experiences in the coming years.

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