Revenue Search: Inside Bittensor Subnet Session with BitQuant: Subnet 15
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Oct 14, 2025 Explore the future of on-chain AI with the creators of BitQuant as they discuss its role as a pocket financial advisor, simplifying market analysis and swaps through chat-driven interactions. Discover how miners compete to deliver high-quality trading insights and why quality control mechanisms are vital. With impressive user adoption, they reveal earnings from swap fees and highlight the mission of making decentralized AI accessible. Plus, exciting plans for mobile interfaces and educational outreach are on the horizon!
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Defend Against Prompt Injection
- Monitor miner outputs and treat prompt-injection attempts as low-quality with automated zero scores.
- Consider enforcing TEE remote attestations to verify inference provenance and raise baseline trust.
Pair Recommendations With Risk Rules
- Provide explicit risk metrics and sell guidance (targets, stop losses, duration) alongside buy recommendations.
- Educate users with example workflows and show your own decision process to reduce blind following.
Avoid Permanent Trading Permissions
- Require explicit wallet signatures for every trade instead of granting perpetual trading permissions.
- Phase in autonomous orders (limits, stops) only after miner output quality and safety checks improve.