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


In the past decade, the world of AI-driven character interaction (RP) has experienced a remarkable shift. What started as niche experiments with early language models has grown into a thriving community of tools, services, and communities. This overview examines the current landscape of AI RP, from user favorites to cutting-edge techniques.

The Growth of AI RP Platforms

Various services have come to prominence as favored centers for AI-powered narrative creation and role-play. These allow users to experience both traditional RP and more risqué ERP (erotic role-play) scenarios. Personas like Noromaid, or original creations like Midnight Miqu have become fan favorites.

Meanwhile, other services have become increasingly favored for sharing and circulating "character cards" – pre-made AI personalities that users can engage. The Backyard AI community has been particularly active in designing and spreading these cards.

Advancements in Language Models

The swift progression of large language models (LLMs) has been a crucial factor of AI RP's expansion. Models like LLaMA CPP and the mythical "OmniLingua" (a theoretical future model) highlight the increasing capabilities of AI in generating consistent and environmentally cognizant responses.

AI personalization has become a crucial technique for adapting these models to particular RP scenarios or character personalities. This method allows for more refined and stable interactions.

The Movement for Privacy and Control

As AI RP has grown in popularity, so too has the demand for confidentiality and personal autonomy. This has led to the emergence of "user-owned language processors" and self-hosted AI options. Various "AI-as-a-Service" services have emerged to address this need.

Endeavors like Undi 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 attracts those focused on data privacy or those who simply relish customizing AI systems.

Various tools have gained popularity as user-friendly options for running local models, including powerful 70B parameter versions. These more complex models, while computationally intensive, offer enhanced capabilities for complex RP scenarios.

Exploring Limits and Investigating New Frontiers

The AI RP community is more info recognized for its innovation and eagerness to challenge limits. Tools like Neural Path Optimization allow for precise manipulation over AI outputs, potentially leading to more versatile and spontaneous characters.

Some users pursue "uncensored" or "obliterated" models, aiming for maximum creative freedom. However, this raises ongoing philosophical conversations within the community.

Focused tools have appeared 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 look to the future, several patterns are becoming apparent:

Growing focus on self-hosted and secure AI solutions
Development of more powerful and streamlined models (e.g., speculated 70B models)
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
Personas like Poppy Porpoise hint at the prospect for AI to create entire imaginary realms and expansive narratives.

The AI RP domain remains a crucible of innovation, with collectives like Chaotic Soliloquy pushing the boundaries of what's attainable. As GPU technology progresses 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 domain of AI-powered RP offers endless possibilities for innovation and exploration.

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