The Progression of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models
In the last few years, the realm of AI-assisted storytelling (RP) has seen a dramatic transformation. What started as experimental ventures with first-generation chatbots has blossomed into a thriving community of applications, platforms, and user groups. This overview explores the existing environment of AI RP, from popular platforms to innovative techniques.
The Growth of AI RP Platforms
Various tools have emerged as favored centers for AI-powered narrative creation and immersive storytelling. These allow users to engage in both traditional RP and more mature ERP (erotic role-play) scenarios. Personas like Euryvale, or custom personalities like Midnight Miqu have become fan favorites.
Meanwhile, other platforms have grown in popularity for sharing and exchanging "character cards" – ready-to-use digital personas that users can engage. The Backyard AI community has been notably active in crafting and distributing these cards.
Innovations in Language Models
The swift evolution of advanced AI systems (LLMs) has been a crucial factor of AI RP's expansion. Models like Llama.cpp and the mythical "Mythomax" (a speculative future model) highlight the expanding prowess of AI in creating consistent and situationally appropriate responses.
Fine-tuning has become a crucial technique for adjusting these models to particular RP scenarios or character personalities. This method allows for more nuanced and consistent interactions.
The Drive for Privacy and Control
As AI RP has become more widespread, so too has the call for data privacy and user control. This has led to the emergence of "user-owned language processors" and self-hosted AI options. Various "Model Deployment" services have been created to meet this need.
Initiatives like Undi and implementations of CogniScript.cpp have made it possible for users to run powerful language models on their personal devices. This "self-hosted model" approach resonates with those concerned about data privacy or those who simply enjoy experimenting with AI systems.
Various tools have become widely adopted as intuitive options for managing local models, including advanced 70B parameter versions. These larger models, while computationally intensive, offer improved performance for intricate RP scenarios.
Exploring click here Limits and Investigating New Frontiers
The AI RP community is recognized for its innovation and determination to break new ground. Tools like Cognitive Vector Control allow for detailed adjustment over AI outputs, potentially leading to more adaptable and surprising characters.
Some users search for "abiliterated" or "augmented" models, striving for maximum creative freedom. However, this sparks ongoing moral discussions within the community.
Niche platforms have emerged to cater to specific niches or provide novel approaches to AI interaction, often with a focus on "data protection" 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 taking shape:
Growing focus on local and private AI solutions
Development of more sophisticated and streamlined models (e.g., speculated LLaMA-3)
Exploration of groundbreaking techniques like "eternal memory" for preserving long-term context
Integration of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Lumimaid hint at the potential for AI to produce entire imaginary realms and elaborate narratives.
The AI RP space remains a nexus of invention, with communities like Backyard AI expanding the limits of what's possible. As GPU technology evolves and techniques like neural compression improve efficiency, we can expect even more remarkable AI RP experiences in the near future.
Whether you're a curious explorer or a committed "quant" working on the next innovation in AI, the world of AI-powered RP offers infinite opportunities for creativity and adventure.