Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph

This post details how autoresearch, combined with human-driven ideas and bare-metal hardware tweaks, can make AI models up to 3x faster. It highlights the effectiveness of autoresearch for optimizing GPU kernels, providing agents with hardware and model context, and the importance of identifying and avoiding reward hacking. The talk also emphasizes that kernel gains compound and that bare-metal optimizations can add significant performance over cloud VMs, while acknowledging that a high percentage of autoresearch attempts are unsuccessful.