Episode
Bittensor Drama! TAO down 15%! | E2274
- Podcast
- This Week in Startups
- Published
- Apr 11, 2026
- Duration seconds
- 4914
- Processing state
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Summary
The Bittensor network faces instability following Covenant AI's controversial departure from its subnets. The episode also explores AI-driven video upscaling and practical implementations of Andrej Karpathy's 'council of models' concept.
Topics
- Bittensor
- TAO
- Artificial Intelligence
- Crypto Markets
- Video Upscaling
- Claude AI
- Decentralized Networks
- Subnets
Highlights
- Main idea: The departure of Covenant AI from Bittensor subnets caused a significant drop in TAO value
- Practical takeaway: Use Claude personas to simulate a 'council of advisors' for business and life decision-making
- Technical insight: Bittensor subnets create a competitive marketplace where providers outdo each other to lower costs
- Failure mode: High-profile project defections can trigger market volatility and community distrust in decentralized networks
- Practical takeaway: AI-driven video upscaling can significantly reduce the cost of high-quality video processing
Chapters
1:00AI Productivity Tools: A brief look at using Plaud for automated meeting and interview recording.7:20Bittensor Network Volatility: Analyzing the recent price drop in TAO and the impact of Covenant AI leaving the network.13:30AI Video Processing: Gareth Howells discusses how Subnet 85 uses AI for efficient video compression and upscaling.19:30The Value of Upscaling: A demonstration of how AI can transform grainy, old footage into high-quality video.25:50Decentralized Computing Power: Exploring the competitive nature of Bittensor subnets and the use of open-source models.32:00The Future of Low-Cost Labor: A discussion on how decentralized networks could drive the cost of specialized services toward zero.44:20Implementing a Council of Advisors: Ole Lehmann demonstrates building a multi-persona advisory system within Claude using Karpathy's concept.