The Progression of AI-Enabled Character Simulation: From Fimbulvetr to Next-Gen Language Models
In the past decade, the world of AI-assisted storytelling (RP) has experienced a significant evolution. What originated as fringe projects with first-generation chatbots has blossomed into a dynamic landscape of platforms, resources, and communities. This piece investigates the present state of AI RP, from user favorites to cutting-edge techniques.
The Emergence of AI RP Platforms
Various tools have come to prominence as popular hubs for AI-enhanced fiction writing and immersive storytelling. These allow users to experience both traditional RP and more adult-oriented ERP (sensual storytelling) scenarios. Avatars like Stheno, or original creations like Poppy Porpoise have become community darlings.
Meanwhile, other websites have gained traction for sharing and sharing "character cards" – customizable AI entities that users can converse with. The Backyard AI community has been notably active in designing and spreading these cards.
Breakthroughs in Language Models
The swift development of large language models (LLMs) has been a primary catalyst of AI RP's expansion. Models like LLaMA CPP and the legendary "Mythomax" (a hypothetical future model) showcase the expanding prowess of AI in producing coherent and environmentally cognizant responses.
AI personalization has become a crucial technique for tailoring these models to unique RP scenarios or character personalities. This process allows for more sophisticated and stable interactions.
The Push for Privacy and Control
As AI RP has become more widespread, so too has the demand for data privacy and user control. This has led to the development of "private LLMs" and local hosting solutions. Various "AI-as-a-Service" services have sprung up to address this need.
Endeavors like Kobold AI and implementations of Llama.cpp have made it feasible for users to run powerful language models on their own hardware. This "local LLM" approach appeals to those focused on data privacy or those who simply relish experimenting with AI systems.
Various tools have become widely adopted as accessible options for running local models, including impressive 70B parameter versions. These more sophisticated models, while GPU-demanding, offer improved performance for complex RP scenarios.
Pushing Boundaries and Venturing into New Frontiers
The AI RP community is celebrated for its innovation and willingness to push boundaries. Tools like Cognitive Vector Control allow for precise manipulation over AI outputs, potentially leading to more versatile and unpredictable characters.
Some read more users seek out "abiliterated" or "enhanced" models, aiming for maximum creative freedom. However, this provokes ongoing moral discussions within the community.
Specialized tools 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 we envision the future, several developments are emerging:
Heightened focus on local and private AI solutions
Advancement of more capable and efficient models (e.g., speculated LLaMA-3)
Investigation of novel techniques like "perpetual context" for maintaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Personas like Poppy Porpoise hint at the possibility for AI to generate entire imaginary realms and intricate narratives.
The AI RP field remains a nexus of innovation, with collectives like IkariDev expanding the limits of what's possible. As GPU technology progresses and techniques like cognitive optimization improve efficiency, we can expect even more remarkable AI RP experiences in the near future.
Whether you're a occasional storyteller or a passionate "quant" working on the next innovation in AI, the domain of AI-powered RP offers endless possibilities for imagination and adventure.