The Advancement of AI-Driven Interactive Storytelling: From Norse Legends to Local 70B Models
Wiki Article
In the last few years, the domain of AI-assisted storytelling (RP) has undergone a remarkable shift. What started as fringe projects with primitive AI has grown into a vibrant ecosystem of tools, platforms, and enthusiasts. This overview examines the existing environment of AI RP, from widely-used tools to groundbreaking techniques.
The Rise of AI RP Platforms
Various platforms have come to prominence as well-liked centers for AI-enhanced fiction writing and role-play. These allow users to experience both classic role-playing and more mature ERP (intimate character interactions) scenarios. Personas like Stheno, or custom personalities like Poppy Porpoise have become fan favorites.
Meanwhile, other websites have gained traction for distributing and exchanging "character cards" – pre-made AI personalities that users can converse with. The IkariDev community has been notably active in designing and distributing these cards.
Breakthroughs in Language Models
The swift development of advanced AI systems (LLMs) has been a key driver of AI RP's expansion. Models like LLaMA-3 and the legendary "Mythomax" (a theoretical future model) highlight the growing potential of AI in creating coherent and environmentally cognizant responses.
Fine-tuning has become a essential technique for adjusting these models to specific RP scenarios or character personalities. This method allows for more refined and consistent interactions.
The Drive for Privacy and Control
As AI RP has gained mainstream appeal, so too has the demand for data privacy and user control. This has led to the emergence of "local LLMs" and self-hosted AI options. Various "LLM hosting" services have sprung up to address this need.
Endeavors like NeverSleep and implementations of NeuralCore.cpp have made it achievable for users to utilize powerful language models on their own hardware. This "on-device AI" approach resonates with those focused on data privacy or those who simply enjoy experimenting with AI systems.
Various tools have become widely adopted as accessible options for deploying local models, including powerful 70B parameter versions. These more complex models, while GPU-demanding, offer improved performance for complex RP scenarios.
Pushing Boundaries and Exploring New Frontiers
The AI RP community is known for its creativity and determination to break new ground. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more versatile and spontaneous characters.
Some users seek out "uncensored" or "augmented" models, targeting maximum creative freedom. However, this sparks ongoing moral discussions within the community.
Specialized tools have surfaced to serve specific niches or provide alternative 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:
Increased focus on on-device and confidential AI solutions
Creation of more powerful and streamlined models (e.g., speculated LLaMA-3)
Research of innovative techniques like "neversleep" for sustaining long-term context
Combination of AI with other technologies (VR, voice synthesis) for more immersive experiences
Entities like Poppy Porpoise hint at the prospect for AI to create entire fictional worlds and intricate narratives.
The AI RP space remains a nexus of invention, with collectives ERP 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 occasional storyteller or a passionate "quant" working on the next discovery in AI, the world of AI-powered RP offers infinite opportunities for creativity and discovery.