ResearchBoost Agent speeds up real research workloads 2.51x on average across 12 tasks
YouJiacheng · x · 2026-11-08
AI4AI's open ResearchBoost Agent (RBA) bets that "RSI starts with Infra": instead of asking AI for breakthrough ideas, it helps researchers run more experiments on the same compute budget.
Key facts:
- Covers 12 real-world research workloads across 5 domains, with a mean speedup of 2.51x and max 9.59x
- Workflow is a Profile → Optimize → Verify loop: one agent in an isolated sandbox tests one idea per round, judged by a component the agent cannot edit, localizing bottlenecks from stage down to kernel
- Open question: are these gains project-specific tricks, or can the agent generalize infrastructure-optimization skills?
Author YouJiacheng shared a firsthand lesson: trusting RBA's RoboTwin cost breakdown, he cut raytracing rendering from 30ms to 3ms/frame on a 3090 — only to find the real bottleneck was takeaction.
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