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

In the past decade, the world of AI-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with primitive AI has blossomed into a thriving community of tools, services, and communities. This piece investigates the present state of AI RP, from popular platforms to innovative techniques.

The Growth of AI RP Platforms

Various platforms have come to prominence as popular centers for AI-assisted storytelling and character interaction. These allow users to engage in both classic role-playing and more risqué ERP (intimate character interactions) scenarios. Avatars like Stheno, or user-generated entities like Poppy Porpoise have become fan favorites.

Meanwhile, other platforms have become increasingly favored for distributing and exchanging "character cards" – ready-to-use digital personas that users can engage. The Chaotic Soliloquy community has been notably active in crafting and distributing these cards.

Advancements in Language Models

The accelerated progression of advanced AI systems (LLMs) has been a key driver of AI RP's proliferation. Models like LLaMA CPP and the fabled "Mythomax" (a theoretical future model) showcase the expanding prowess of AI in producing coherent and environmentally cognizant responses.

Model customization has become a crucial technique for adapting these models to unique RP scenarios or character personalities. This method allows for more refined and reliable interactions.

The Push for Privacy and Control

As AI RP has become more widespread, so too has the demand for data privacy and personal autonomy. This has led to the development of "user-owned language processors" and self-hosted AI options. Various "LLM hosting" services have been created to address this need.

Initiatives like NeverSleep and implementations of NeuralCore.cpp have made it achievable for users to operate powerful language models on their local machines. This "on-device AI" approach resonates with those worried about data privacy or those who simply relish tinkering with AI systems.

Various tools have grown in favor as intuitive options for deploying local models, including impressive 70B parameter versions. These larger models, while GPU-demanding, offer enhanced capabilities for intricate RP scenarios.

Breaking New Ground and Exploring New Frontiers

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

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

Focused tools have surfaced to address specific niches or provide alternative approaches to AI interaction, often with a focus on "no logging" policies. Companies like recursal.ai and featherless.ai are among those exploring innovative approaches in this space.

The Future of AI RP

As we look to the future, several trends are emerging:

Increased focus on on-device and confidential AI solutions
Advancement of more sophisticated and streamlined models (e.g., speculated 70B models)
Investigation of innovative techniques like "neversleep" for maintaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Lumimaid hint at the possibility for AI to generate entire fictional worlds and expansive narratives.

The AI RP domain remains get more info a crucible of invention, with communities like Backyard AI redefining the possibilities of what's achievable. As GPU technology advances and techniques like cognitive optimization boost capabilities, we can expect even more remarkable AI RP experiences in the near future.

Whether you're a curious explorer or a committed "quant" working on the next innovation in AI, the world of AI-powered RP offers limitless potential for innovation and discovery.