The Holy Trinity of AI: Distributed Training, Compute, and Post-Training with Covenant Labs

Can the internet itself become a massive, decentralized data center? In this episode, Consτ sits down with the Covenant Labs team—including Distributed_Tensor, Evan, Alec, and Oriea—to discuss the engineering breakthroughs powering the next phase of Bittensor. We dive deep into PULSE, a synchronization method that reduces training bandwidth by 100x, and explore Basilica’s "GPU as Code" philosophy, which treats infrastructure as an API for AI agents rather than a dashboard for humans. From the philosophical mission of reclaiming human agency to the gritty economic realities of miner incentives and resource optimization, this conversation provides a roadmap for the future of permissionless intelligence. Chapter Markers 00:00 - The Feat of Building Permissionless Protocols 08:17 - The Three Orders: Templar, Basilica, and Grail 13:50 - Templar: Decentralized Training and Reclaiming Agency 17:00 - Basilica: Solving Inefficiencies in Decentralized Compute 32:00 - GPU as Code: Designing Infrastructure for Agents 42:45 - Grail & PULSE: Breaking the Bandwidth Barrier 50:37 - Scaling to 1 Trillion Parameters 58:07 - The dTAO Economic Landscape: Balancing Participants 1:10:51 - The Great Miner Burn Debate 1:31:23 - Judging Subnets by Technical Outcomes

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