Hardware Automation and AI Agents Compress Software Moats
tengyanAI · x · 2026-08-05
AI researcher tengyanAI argues that software moats are being compressed from both directions. Better hardware, such as Rubin, automates more low-level scheduling and optimization, while AI agents automate software engineering itself.
As software optimization becomes machine-handled, competitive advantage shifts back to physical metrics like memory bandwidth, HBM capacity, and power efficiency. In a quoted thread, they also elaborate on why "megakernels are dead," explaining how the Rubin architecture resolves straggler CTA issues, eliminating the need for manually writing massive kernels.
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