The Advancement of AI-Enabled Character Simulation: From Fimbulvetr to Local 70B Models
In the past decade, the domain of AI-assisted storytelling (RP) has undergone a significant evolution. What began as experimental ventures with primitive AI has blossomed into a dynamic landscape of platforms, resources, and user groups. This overview examines the current landscape of AI RP, from widely-used tools to cutting-edge techniques.
The Emergence of AI RP Platforms
Various tools have emerged 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. Characters like Euryvale, or custom personalities like Midnight Miqu have become fan favorites.
Meanwhile, other services have become increasingly favored for distributing and sharing "character cards" – ready-to-use digital personas that users can engage. The Backyard AI community has been notably active in crafting and sharing these cards.
Advancements in Language Models
The rapid development of advanced AI systems (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the legendary "OmniLingua" (a theoretical future model) showcase the growing potential of AI in producing consistent and situationally appropriate responses.
Model customization has become a crucial technique for adapting 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 become more widespread, so too has the call for confidentiality and user control. This has led to the rise of "user-owned language processors" and local hosting solutions. Various "Model Deployment" services have been created to address this need.
Projects like NeverSleep and implementations of CogniScript.cpp have made it feasible for users to run powerful language models on their local machines. 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 deploying local models, including impressive 70B parameter versions. These more sophisticated models, while GPU-demanding, offer enhanced capabilities for elaborate RP scenarios.
Exploring Limits and Venturing into New Frontiers
The AI RP community is recognized for its creativity and eagerness 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 search for "uncensored" or "augmented" models, aiming for maximum creative freedom. However, this sparks ongoing ethical debates within the community.
Niche tools have emerged to serve specific niches or provide novel approaches to AI interaction, often with a focus on "no llama-3 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 envision the future, several trends are taking shape:
Heightened focus on local and private AI solutions
Creation of more capable and streamlined models (e.g., rumored 70B models)
Research of groundbreaking techniques like "neversleep" for preserving long-term context
Fusion of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Characters like Lumimaid hint at the possibility for AI to create entire virtual universes and intricate narratives.
The AI RP space remains a hotbed of advancement, with communities like Backyard AI expanding the limits of what's attainable. As GPU technology progresses and techniques like cognitive optimization enhance performance, we can expect even more astounding AI RP experiences in the coming years.
Whether you're a curious explorer or a dedicated "AI researcher" working on the next breakthrough in AI, the realm of AI-powered RP offers infinite opportunities for creativity and discovery.