The Progression of AI-Driven Role-Playing: From Ancient Myths to Local 70B Models
In the last few years, the realm of AI-assisted storytelling (RP) has experienced a significant evolution. What began as experimental ventures with primitive AI has blossomed into a vibrant ecosystem of applications, services, and enthusiasts. 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 immersive storytelling. These allow users to engage in both classic role-playing and more adult-oriented ERP (intimate character interactions) scenarios. Characters like Stheno, or user-generated entities like Midnight Miqu have become popular choices.
Meanwhile, other platforms have gained traction for distributing and sharing "character cards" – ready-to-use digital personas that users can converse with. The Chaotic Soliloquy community has been especially active in crafting and sharing these cards.
Advancements in Language Models
The swift progression of large language models (LLMs) has been a crucial factor of AI RP's proliferation. Models like LLaMA-3 and the mythical "OmniLingua" (a hypothetical future model) highlight the increasing capabilities of AI in producing consistent and environmentally cognizant responses.
Fine-tuning has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This approach allows for more refined and consistent interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the call for data privacy and individual oversight. This has led to the development of "user-owned language processors" and self-hosted AI options. Various "AI-as-a-Service" services have emerged to satisfy this need.
Endeavors like NeverSleep and implementations of CogniScript.cpp have made it achievable for users to utilize powerful language models on their local machines. This "self-hosted model" approach resonates with those focused on data privacy or those who simply relish customizing AI systems.
Various tools have grown in favor as intuitive options for managing local models, including advanced 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for intricate RP scenarios.
Pushing Boundaries and Exploring New Frontiers
The AI RP community is known for its inventiveness and determination to challenge limits. Tools like Neural Path Optimization allow for precise manipulation over AI outputs, potentially leading to more dynamic and unpredictable characters.
Some users search for "abiliterated" or "enhanced" models, aiming for maximum creative website freedom. However, this raises ongoing philosophical conversations within the community.
Niche services have emerged to address specific niches or provide unique 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 patterns are taking shape:
Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated LLaMA-3)
Research of innovative techniques like "eternal memory" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Personas like Poppy Porpoise hint at the possibility for AI to generate entire virtual universes and expansive narratives.
The AI RP domain remains a crucible of advancement, with groups like IkariDev expanding the limits of what's possible. As GPU technology progresses and techniques like quantization boost capabilities, we can expect even more impressive AI RP experiences in the coming years.
Whether you're a curious explorer or a dedicated "AI researcher" working on the next discovery in AI, the world of AI-powered RP offers limitless potential for innovation and exploration.