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MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering

8 mentions on Hacker News by 7 people: 4 stories, 4 comments · first 2024-10-09 · latest 2026-03-24

Mentions per year 8 mentions · busiest year 2025 (5)
20082026
  1. …(ML-Master 2.0) The mostly used benchmark for automated AI engineering/ research is: https://github.com/openai/mle-bench
    comment by Xx_crazy420_xX · 2026-03-24 · in Autoresearch on an old research idea
  2. …hyperparameters, and iteratively improves the models. It ranked #1 on OpenAI’s MLE-Bench benchmark: https://github.com/openai/mle-bench/pull/126 GitHub: https://github.com/aibuildai/AI-Build-AI Curious to hear what the community thinks,…
  3. …I was looking into MLE-Bench for benchamrking coding Agents on machine learning tasks from Kaggle https://github.com/openai/mle-bench There are many projects that provide agents which performance is simply incredible, they can solve…
  4. ▲ 3
    Neo Scored 34.2% SOTA on OpenAI MLE-Bench
    story by vijgaurav · 2025-09-12 · 0 comments
  5. …leaderboard on openAI's official github? If not, first check that before calling it whatever. Here: https://github.com/openai/mle-bench They are not just distributing trophies to anybody. It was built over 10 months with a small team and…
  6. ▲ 2
    Neo (Autonomous ML engineer) is leading the MLE Bench with 34.2% score
    story by Vij137 · 2025-08-19 · 6 comments
  7. ▲ 1
    Neo is leading the MLE Bench with 34.2% score
    story by gauravvij137 · 2025-08-15 · 1 comment
  8. ▲ 1
    Benchmark for measuring how well AI agents perform at ML engineering
    story by zerojames · 2024-10-09 · 0 comments