The Advancement of AI-Enabled Character Simulation: From Fimbulvetr to Cutting-Edge AI
In the past decade, the realm of AI-assisted storytelling (RP) has experienced a remarkable shift. What started as niche experiments with first-generation chatbots has grown into a thriving community of tools, resources, and user groups. This overview examines the current landscape of AI RP, from user favorites to cutting-edge 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 conventional storytelling and more adult-oriented ERP (erotic role-play) scenarios. Avatars like Stheno, or custom personalities like Lumimaid have become community darlings.
Meanwhile, other websites have gained traction for sharing and exchanging "character cards" – pre-made AI personalities that users can interact with. The IkariDev community has been notably active in creating and sharing these cards.
Innovations in Language Models
The swift progression of large language models (LLMs) has been a key driver of AI RP's expansion. Models like Llama.cpp and the legendary "HyperVerbal" (a hypothetical future model) highlight the increasing capabilities of AI in generating coherent and context-aware responses.
Model customization has become a essential technique for tailoring these models to particular RP scenarios or character personalities. This method allows for more sophisticated and reliable interactions.
The Movement for Privacy and Control
As AI RP has gained mainstream appeal, so too has the call for confidentiality and personal autonomy. This has led to the emergence of "local LLMs" and on-premise model deployment. Various "Model Deployment" services have been created to address this need.
Initiatives like Undi and implementations of Llama.cpp have made it possible for users to utilize powerful language models on their local machines. This "self-hosted model" approach attracts those worried about data privacy or those who simply enjoy 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 processing-heavy, offer improved performance for complex RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is recognized for its creativity and determination to challenge limits. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more versatile and unpredictable characters.
Some users search for "unrestricted" or "obliterated" models, targeting maximum creative freedom. However, this raises ongoing philosophical conversations within the community.
Niche platforms have appeared to cater to 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 more info we anticipate the future, several trends are taking shape:
Heightened focus on self-hosted and secure AI solutions
Advancement of more powerful and streamlined models (e.g., rumored 70B models)
Research of novel techniques like "perpetual context" for sustaining long-term context
Integration of AI with other technologies (VR, voice synthesis) for more engaging experiences
Entities like Poppy Porpoise hint at the possibility for AI to produce entire fictional worlds and elaborate narratives.
The AI RP domain remains a nexus of innovation, with groups like Backyard AI 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 not-so-distant tomorrow.
Whether you're a casual role-player or a passionate "quant" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.