The Advancement of AI-Enabled Interactive Storytelling: From Norse Legends to Local 70B Models
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In the past decade, the realm of AI-assisted storytelling (RP) has undergone a dramatic transformation. What started as experimental ventures with primitive AI has developed into a vibrant ecosystem of platforms, services, and enthusiasts. This article explores the present state of AI RP, from user favorites to groundbreaking techniques.
The Rise of AI RP Platforms
Various platforms have emerged as popular centers for AI-enhanced fiction writing and immersive storytelling. These allow users to engage in both traditional RP and more adult-oriented ERP (intimate character interactions) scenarios. Avatars like Stheno, or original creations like Lumimaid have become popular choices.
Meanwhile, other websites 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 particularly active in crafting and distributing these cards.
Innovations in Language Models
The rapid progression of neural language processors (LLMs) has been a crucial factor of AI RP's growth. Models like LLaMA CPP and the legendary "Mythomax" (a speculative future model) highlight the growing potential of AI in generating logical and situationally appropriate responses.
Fine-tuning has become a essential technique for tailoring these models to specific RP scenarios or character personalities. This approach allows for more nuanced and stable interactions.
The Push for Privacy and Control
As AI RP has gained mainstream appeal, so too has the call for privacy and individual oversight. This has led to the emergence of "private LLMs" and self-hosted AI options. Various "LLM hosting" services have emerged to meet this need.
Endeavors like Kobold AI and implementations of CogniScript.cpp have made it feasible for users to utilize powerful language models on their personal devices. This "local LLM" approach attracts those concerned about data privacy or those who simply appreciate tinkering with AI systems.
Various tools have grown in favor as user-friendly options for deploying local models, including impressive 70B parameter versions. These more complex models, while processing-heavy, offer improved performance for elaborate RP scenarios.
Pushing Boundaries and Investigating New Frontiers
The AI RP community is known for its innovation and determination to push boundaries. Tools like Neural Path Optimization allow for detailed adjustment over AI outputs, potentially leading to more dynamic and surprising characters.
Some users seek out "unrestricted" or "augmented" models, aiming for maximum creative freedom. However, this sparks ongoing philosophical conversations within the community.
Focused platforms have appeared to serve specific niches or get more info provide novel 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 look to the future, several trends are taking shape:
Growing focus on on-device and confidential AI solutions
Advancement of more powerful and efficient models (e.g., rumored LLaMA-3)
Investigation of innovative techniques like "perpetual context" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Euryvale hint at the prospect for AI to produce entire virtual universes and intricate narratives.
The AI RP domain remains a nexus of advancement, with collectives like Backyard AI redefining the possibilities 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 world of AI-powered RP offers limitless potential for innovation and discovery.