Bittensor Subnet 58:Dippy Speech

Dippy has already demonstrated strong market traction, securing the #3 spot on the German App Store and surpassing 1 million active users. The platform’s high engagement levels, with users spending over an hour on average per session, showcase its real-world adoption and sustained demand.

$TAO Integration

Dippy is not just an app—it is deeply integrated within the Bittensor ecosystem, leveraging open-source, decentralised intelligence for a more advanced AI experience:

• Subnet 11 powers the backend, providing the foundational LLM for AI interactions.
• Subnet 58 is dedicated to developing cutting-edge AI speech models for enhanced voice interactions.
• An open-source future, ensuring transparency, innovation, and community-driven development.
• Network-enhanced capabilities, leveraging Bittensor’s decentralised infrastructure for scalability and efficiency.

Breaking Down the Edge

Proven Demand

The app’s organic growth is evidence of its strong market fit:

• 500,000 monthly active users, engaging consistently with AI companions.
• 50,000 daily active users, showcasing a high level of retention and habitual use.
• 1-hour average session length, demonstrating deep user engagement.
• Sustained natural growth, achieved without reliance on aggressive marketing tactics.

Bittensor-Powered Solution

Dippy’s integration within Bittensor provides key advantages over traditional AI models:

• Decentralised model, reducing reliance on closed, centralised systems.
• Community-powered development, driving continuous improvement through open collaboration.
• Open-source infrastructure, ensuring transparency and accessibility.
• No restrictions, allowing for innovation and adaptability without corporate gatekeeping.

Think Deeper: The Power Play

Integration Plan

Dippy is strategically designed to leverage multiple Bittensor subnets for a synergistic AI experience:

• Subnet 11 as the foundational base model for AI interactions.
• Subnet 58 as the next-generation voice model for expressive, human-like speech.
• Cross-subnet synergy, allowing different AI models to interact and enhance each other.
• Network effects, where the adoption of one feature amplifies the value of the entire system.

Real Adoption

Unlike theoretical AI projects, Dippy has already achieved real-world success:

• A top-ranking app, already in the hands of millions.
• Mass market-ready, with proven demand and scalable infrastructure.
• Validated by real users, not just early adopters or niche communities.
• Market-proven, demonstrating clear traction and growth potential.

The Most Important Part:

Dippy is not just another AI app—it represents the mass adoption of AI, bringing decentralised intelligence to a mainstream audience.

1. Market Validation

• Top App Store rankings, proving its competitive edge.
• A real, engaged user base, unlike speculative projects.
• High levels of active engagement, showing sustained interest.
• A proven model, that works in real-world applications.

2. Growth Drivers

Dippy’s continued success is powered by:

• Subnet integration, allowing AI models to evolve and improve.
• Voice capabilities, unlocking more immersive, human-like interactions.
• Network effects, where growth in one area benefits the entire ecosystem.
• Mass appeal, making AI companions more accessible to a global audience.

Key Takeaways

1. Dippy has already succeeded in the real world, with a massive, engaged user base.
2. It is a market leader, proving demand for AI companions.
3. Its deep integration with $TAO strengthens its future potential in decentralised AI.
4. It is future-ready, built for scalability and ongoing innovation.

Overview of Miner and Validator Functionality

Miners will leverage existing frameworks to fine-tune models, enhancing the current state-of-the-art open-source TTS model. The refined model weights will then be submitted to a shared Hugging Face repository.

Validators will evaluate and rank model performance using a structured protocol, assessing factors such as naturalness, emotion matching, and clarity. They will have access to a suite of advanced testing and benchmarking tools, utilising state-of-the-art datasets to ensure rigorous assessment.