The Progression of AI-Enabled Interactive Storytelling: From Ancient Myths to Local 70B Models
In the past decade, the world of AI-assisted storytelling (RP) has experienced a remarkable shift. What started as experimental ventures with primitive AI has grown into a dynamic landscape of tools, services, and user groups. This article investigates the existing environment of AI RP, from popular platforms to groundbreaking techniques.
The Rise of AI RP Platforms
Various tools have risen as well-liked focal points for AI-powered narrative creation and immersive storytelling. These allow users to participate in both traditional RP and more risqué ERP (sensual storytelling) scenarios. Personas like Noromaid, or user-generated entities like Midnight Miqu have become community darlings.
Meanwhile, other websites have become increasingly favored for distributing and exchanging "character cards" – ready-to-use digital personas that users can engage. The Backyard AI community has been especially active in creating and spreading these cards.
Breakthroughs in Language Models
The rapid progression of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the mythical "OmniLingua" (a hypothetical future model) showcase the growing potential of AI in creating logical and situationally appropriate responses.
Fine-tuning has become a essential technique for adapting these models to specific RP scenarios or character personalities. This method allows for more refined and consistent interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the need for privacy and personal autonomy. This has led to the development of "user-owned language processors" and local hosting solutions. Various "AI-as-a-Service" services have been created to meet this need.
Projects like Kobold AI and implementations of NeuralCore.cpp have made it feasible for users to utilize powerful language models on their own hardware. This "on-device AI" approach attracts those worried about data privacy or those who simply relish tinkering with AI systems.
Various tools have gained popularity as user-friendly options for running local models, including impressive 70B parameter versions. These larger models, while computationally intensive, offer enhanced capabilities for intricate RP scenarios.
Breaking New Ground and Exploring New Frontiers
The AI RP community is known for its inventiveness and eagerness to challenge limits. Tools like Neural Path Optimization allow for fine-grained control over AI outputs, potentially leading to more adaptable and spontaneous characters.
Some users pursue "uncensored" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.
Specialized tools have surfaced to cater to specific niches or provide novel 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 anticipate the future, several trends are becoming apparent:
Heightened focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated Quants)
Exploration of innovative techniques like "perpetual context" for sustaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the possibility for AI to create entire fictional worlds and elaborate narratives.
The AI RP field remains a nexus of invention, with collectives like IkariDev pushing the boundaries of what's achievable. As GPU technology progresses and techniques like cognitive optimization 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 discovery in AI, the more info realm of AI-powered RP offers endless possibilities for creativity and adventure.