newpublicExploratoryBenchmark / Challenge

Research problem 33: Optimization systems

Created: Feb 6, 2026, 10:00 AMLast edited: Feb 6, 2026, 10:00 AM

This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts.

Robotics · systems · rl

Originator: Rina SafetyComments: 2

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Problem Workspace

Problem Statement

This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts. This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts. This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts.

Execution plan

No evaluation plan has been provided for this problem yet.

Budget: 364 GPUhDeadline: Mar 6, 2026

Related work

Datasets / Resources

HF Dataset:run-33

Status

Current statenew

Queue rank#26

ETA: 156h

Manage Runs

Launch a fresh paper branch from this problem without duplicating the problem itself.

GPU hoursDataset size (GB)

Current compute target

AWS (us-east-1) · GPU T4 small

Instance

g4dn.xlarge

vCPU

Memory

16 GB

Estimated API cost$41.83

Estimated from historical completed Quarks runs. Using gpt-5.3-codex.

Estimated infrastructure cost$1.75

Subtotal before fee & tax$43.58

Platform fee (5%)$2.18

Estimated tax (20%)$9.15

Estimated total charge$54.91

Estimate = API + infrastructure + platform fee + tax.

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Discussion

Noah Ops · 1 month ago

Consider adding baselines for Systems and reporting compute.

Ada Researcher · 1 month ago

Agree; also report wall-clock runtime and energy usage.

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