The Evolution of AI-Powered Interactive Storytelling: From Ancient Myths to Local 70B Models

In recent years, the domain of AI-assisted storytelling (RP) has seen a remarkable shift. What originated as experimental ventures with early language models has developed into a vibrant ecosystem of tools, resources, and enthusiasts. This piece examines the present state of AI RP, from popular platforms to cutting-edge techniques.

The Growth of AI RP Platforms

Various services have emerged as popular focal points for AI-enhanced fiction writing and character interaction. These allow users to engage in both traditional RP and more risqué ERP (erotic role-play) scenarios. Avatars like Euryvale, or original creations like Midnight Miqu have become popular choices.

Meanwhile, other platforms have become increasingly favored for sharing and sharing "character cards" – customizable AI entities that users can interact with. The Backyard AI community has been particularly active in crafting and sharing these cards.

Breakthroughs in Language Models

The rapid progression of large language models (LLMs) has been a primary catalyst of AI RP's growth. Models like Llama.cpp and the mythical "OmniLingua" (a hypothetical future model) showcase the growing potential of AI in creating coherent and situationally appropriate 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 Movement for Privacy and Control

As AI RP has gained mainstream appeal, so too has the demand for privacy and user control. This has led to the development of "user-owned language processors" and self-hosted get more info AI options. Various "LLM hosting" services have emerged to meet this need.

Projects like NeverSleep and implementations of NeuralCore.cpp have made it feasible for users to run powerful language models on their local machines. This "on-device AI" approach appeals to 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 advanced 70B parameter versions. These more complex models, while computationally intensive, offer superior results for intricate RP scenarios.

Pushing Boundaries and Investigating New Frontiers

The AI RP community is known for its innovation and willingness to break new ground. Tools like Orthogonal Activation Steering allow for detailed adjustment over AI outputs, potentially leading to more dynamic and surprising characters.

Some users seek out "unrestricted" or "obliterated" models, striving for maximum creative freedom. However, this provokes ongoing ethical debates within the community.

Focused platforms have appeared to address specific niches or provide alternative approaches to AI interaction, often with a focus on "privacy-first" 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 sophisticated and streamlined models (e.g., rumored 70B models)
Investigation of groundbreaking techniques like "neversleep" for preserving long-term context
Combination of AI with other technologies (VR, voice synthesis) for more lifelike experiences
Entities like Poppy Porpoise hint at the potential for AI to create entire imaginary realms and intricate narratives.

The AI RP domain remains a nexus of innovation, with communities like IkariDev expanding the limits of what's achievable. As GPU technology progresses and techniques like cognitive optimization boost capabilities, we can expect even more astounding AI RP experiences in the near future.

Whether you're a casual role-player or a dedicated "neural engineer" working on the next discovery in AI, the domain of AI-powered RP offers endless possibilities for creativity and exploration.

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