One night autoresearch didn't generalize yet.
It tried so much crazy stuff optimizing vLLM though.
> optimized caching specifically for custom harness
> implemented diffusion transformer on a 2048 block which made inference 17x faster
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Jev really inspired me to build SUPER fast browser agents without sacrificing accuracy.
I gave Codex access to vLLM on 2×B300 and let it change everything from the harness to inference.
The constrained optimization:
> min end-to-end task time
> s.t. score ≥ baseline
Caching, thinking, action batching, inference. Any part of the pipeline is fair game.
First results below on 12 local form tasks. The goal: 10× faster on long tasks.
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